Split (1)

train · 14.7k rows

premise string	hypothesis string	label int64
\| Webgraph \| Positiveedges \| Negativeedges \| Classimbalance \| \| --- \| --- \| --- \| --- \| \| webND \| 133,279 \| 95,939million \| 1:719,835 \| \| webSB \| 756,937 \| 466,034million \| 1:615,684 \|	\| webGL \| 494,982 \| 741,978million \| 1:1,498,999 \| \| --- \| --- \| --- \| --- \| \| erd˝os \| 1,543,090 \| 2,970,460million \| 1:1,925,007 \| \| hudong \| 1,446,760 \| 3,786,991million \| 1:2,617,566 \| \| baidu \| 1,701,330 \| 4,370,982million \| 1:2,569,155 \|	1
\| Webgraph \| Positiveedges \| Negativeedges \| Classimbalance \| \| --- \| --- \| --- \| --- \| \| webND \| 133,279 \| 95,939million \| 1:719,835 \| \| webSB \| 756,937 \| 466,034million \| 1:615,684 \|	\| Network \| Vertices \| Edges \| τ \| IMQueries \| kmax \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| wiki-Vote \| 7K \| 104K \| 10 \| 212 \| 50 \| \| Flixster \| 99K \| 978K \| 10 \| 223 \| 100 \| \| soc-Pokec \| 1.6M \| 31M \| 10 \| 636 \| 200 \| \| ﬂickr-growth \| 2.3M \| 33M \| 10 \| 779 \| 200 \| \| Twitter \| 41.6M \| 1.5G \| 10 \| 3011 \| 500 \|	0
\| Webgraph \| Positiveedges \| Negativeedges \| Classimbalance \| \| --- \| --- \| --- \| --- \| \| webND \| 133,279 \| 95,939million \| 1:719,835 \| \| webSB \| 756,937 \| 466,034million \| 1:615,684 \| \| webGL \| 494,982 \| 741,978million \| 1:1,498,999 \|	\| erd˝os \| 1,543,090 \| 2,970,460million \| 1:1,925,007 \| \| --- \| --- \| --- \| --- \| \| hudong \| 1,446,760 \| 3,786,991million \| 1:2,617,566 \| \| baidu \| 1,701,330 \| 4,370,982million \| 1:2,569,155 \|	1
\| Webgraph \| Positiveedges \| Negativeedges \| Classimbalance \| \| --- \| --- \| --- \| --- \| \| webND \| 133,279 \| 95,939million \| 1:719,835 \| \| webSB \| 756,937 \| 466,034million \| 1:615,684 \| \| webGL \| 494,982 \| 741,978million \| 1:1,498,999 \|	\| ﬂickr-growth \| 2.3M \| 33M \| 10 \| 779 \| 200 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| Twitter \| 41.6M \| 1.5G \| 10 \| 3011 \| 500 \|	0
\| Phase \| Train \| Validation \| Test \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Experiment \| Diag \| Nondiag \| Diag \| Nondiag \| Diag \| Nondiag \| \| Fold1 \| 4626 \| 4822 \| 1542 \| 1607 \| 2055 \| 2143 \|	\| Fold2 \| 4625 \| 4822 \| 1542 \| 1607 \| 2056 \| 2143 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Fold3 \| 4625 \| 4822 \| 1542 \| 1607 \| 2056 \| 2143 \| \| Fold4 \| 4625 \| 4822 \| 1542 \| 1607 \| 2056 \| 2143 \|	1
\| Phase \| Train \| Validation \| Test \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Experiment \| Diag \| Nondiag \| Diag \| Nondiag \| Diag \| Nondiag \| \| Fold1 \| 4626 \| 4822 \| 1542 \| 1607 \| 2055 \| 2143 \|	\| \| Train \| Validation \| Test \| \| --- \| --- \| --- \| --- \| \| PA \| 70,875 \| 10,078 \| 20,426 \| \| AP \| 168,525 \| 24,566 \| 47,689 \| \| Lateral \| 81,379 \| 11,519 \| 23,125 \| \| Total \| 320,779 \| 46,163 \| 91,240 \|	0
\| Phase \| Train \| Validation \| Test \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Experiment \| Diag \| Nondiag \| Diag \| Nondiag \| Diag \| Nondiag \| \| Fold1 \| 4626 \| 4822 \| 1542 \| 1607 \| 2055 \| 2143 \| \| Fold2 \| 4625 \| 4822 \| 1542 \| 1607 \| 2056 \| 2143 \|	\| Fold3 \| 4625 \| 4822 \| 1542 \| 1607 \| 2056 \| 2143 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Fold4 \| 4625 \| 4822 \| 1542 \| 1607 \| 2056 \| 2143 \|	1
\| Phase \| Train \| Validation \| Test \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Experiment \| Diag \| Nondiag \| Diag \| Nondiag \| Diag \| Nondiag \| \| Fold1 \| 4626 \| 4822 \| 1542 \| 1607 \| 2055 \| 2143 \| \| Fold2 \| 4625 \| 4822 \| 1542 \| 1607 \| 2056 \| 2143 \|	\| Lateral \| 81,379 \| 11,519 \| 23,125 \| \| --- \| --- \| --- \| --- \| \| Total \| 320,779 \| 46,163 \| 91,240 \|	0
\| BatchSize \| LRrulewarmupEpochstestaccuracy \| \| --- \| --- \| \| 512 \| regularN/A1000.583 \| \| 4096 \| LARS13epochs1000.584 \|	\| 8192 \| LARS8epochs1000.583 \| \| --- \| --- \| \| 32768 \| LARS5epochs1000.585 \|	1
\| BatchSize \| LRrulewarmupEpochstestaccuracy \| \| --- \| --- \| \| 512 \| regularN/A1000.583 \| \| 4096 \| LARS13epochs1000.584 \|	\| Model \| ρ×100 \| \| --- \| --- \| \| HLBL \| 33.2 \| \| C&W \| 55.3 \| \| Skip-gram-300d \| 70.4 \| \| Huangetal-G \| 22.8 \| \| Huangetal-M \| 64.2 \| \| MSSG50d-G \| 60.6 \| \| MSSG50d-M \| 63.2 \| \| MSSG300d-G \| 69.2 \| \| MSSG300d-M \| 70.9 \| \| NP-MSSG50d-G \| 61.5 \| \| NP-MSSG50d-M \| 62.4 \| \| NP-MSSG300d-G \| 69.1 \| \| NP-MSSG300d-M \| 68.6 \| \|...	0
\| BatchSize \| LRrulewarmupEpochstestaccuracy \| \| --- \| --- \| \| 512 \| regularN/A1000.583 \|	\| 4096 \| LARS13epochs1000.584 \| \| --- \| --- \| \| 8192 \| LARS8epochs1000.583 \| \| 32768 \| LARS5epochs1000.585 \|	1
\| BatchSize \| LRrulewarmupEpochstestaccuracy \| \| --- \| --- \| \| 512 \| regularN/A1000.583 \|	\| PrunedTF-IDF \| 73.4 \| \| --- \| --- \| \| ESA \| 75 \| \| TieredTF-IDF \| 76.9 \|	0
\| Method \| Precision \| Recall \| F-score \| \| --- \| --- \| --- \| --- \| \| HUSTMCLAB \| 47.5 \| 34.8 \| 40.2 \| \| NJUText \| 72.7 \| 35.8 \| 48.0 \| \| StradVision-2 \| 77.5 \| 36.7 \| 49.8 \|	\| MCLABFCN \| 70.8 \| 43.0 \| 53.6 \| \| --- \| --- \| --- \| --- \| \| CTPN \| 51.6 \| 74.2 \| 60.9 \| \| Megcii-Image++ \| 72.4 \| 57.0 \| 63.8 \| \| Yaoetal. \| 72.3 \| 58.7 \| 64.8 \| \| Seglink \| 73.1 \| 76.8 \| 75.0 \| \| ArbiText \| 79.2 \| 73.5 \| 75.9 \|	1
\| Method \| Precision \| Recall \| F-score \| \| --- \| --- \| --- \| --- \| \| HUSTMCLAB \| 47.5 \| 34.8 \| 40.2 \| \| NJUText \| 72.7 \| 35.8 \| 48.0 \| \| StradVision-2 \| 77.5 \| 36.7 \| 49.8 \|	\| Algorithm \| Precision \| Recall \| F-measure \| \| --- \| --- \| --- \| --- \| \| Proposed(R-NMS) \| 0.82 \| 0.80 \| 0.81 \| \| Proposed(T-NMS) \| 0.81 \| 0.80 \| 0.80 \| \| Liuetal. \| 0.73 \| 0.68 \| 0.71 \| \| Tianetal. \| 0.74 \| 0.52 \| 0.61 \| \| Zhangetal. \| 0.71 \| 0.43 \| 0.54 \| \| StradVision2 \| 0.77 \| 0.37 \| 0.50 \| \| StradVision1 \| 0.53 ...	0
\| Method \| Precision \| Recall \| F-score \| \| --- \| --- \| --- \| --- \| \| HUSTMCLAB \| 47.5 \| 34.8 \| 40.2 \| \| NJUText \| 72.7 \| 35.8 \| 48.0 \| \| StradVision-2 \| 77.5 \| 36.7 \| 49.8 \| \| MCLABFCN \| 70.8 \| 43.0 \| 53.6 \| \| CTPN \| 51.6 \| 74.2 \| 60.9 \|	\| Megcii-Image++ \| 72.4 \| 57.0 \| 63.8 \| \| --- \| --- \| --- \| --- \| \| Yaoetal. \| 72.3 \| 58.7 \| 64.8 \| \| Seglink \| 73.1 \| 76.8 \| 75.0 \| \| ArbiText \| 79.2 \| 73.5 \| 75.9 \|	1
\| Method \| Precision \| Recall \| F-score \| \| --- \| --- \| --- \| --- \| \| HUSTMCLAB \| 47.5 \| 34.8 \| 40.2 \| \| NJUText \| 72.7 \| 35.8 \| 48.0 \| \| StradVision-2 \| 77.5 \| 36.7 \| 49.8 \| \| MCLABFCN \| 70.8 \| 43.0 \| 53.6 \| \| CTPN \| 51.6 \| 74.2 \| 60.9 \|	\| Liuetal. \| 0.73 \| 0.68 \| 0.71 \| \| --- \| --- \| --- \| --- \| \| Tianetal. \| 0.74 \| 0.52 \| 0.61 \| \| Zhangetal. \| 0.71 \| 0.43 \| 0.54 \| \| StradVision2 \| 0.77 \| 0.37 \| 0.50 \| \| StradVision1 \| 0.53 \| 0.46 \| 0.50 \| \| NJU-Text \| 0.70 \| 0.36 \| 0.47 \| \| AJOU \| 0.47 \| 0.47 \| 0.47 \| \| HUSTMCLAB \| 0.44 \| 0.38 \| 0.41 \|	0
\| Mode \| Count \| α \| (cid:96)(km)0 \| (cid:96)(km) \| σ \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| I.AllModes \| 52973 \| 2.13 \| 29.40 \| 9.99 \| 1313.79 \| \| A.Walk \| 14303 \| 3.99 \| 6.37 \| 1.37 \| 3.77 \| \| B.Bicycle \| 5581 \| 2.72 \| 6.37 \| 3.47 \| 30.06 \|	\| C.Auto.Driver \| 18484 \| 2.29 \| 39.90 \| 13.06 \| 1331.84 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| D.PublicTrans. \| 6944 \| 1.97 \| 27.98 \| 16.34 \| 2875.92 \| \| Auto.Passenger \| 7658 \| 2.00 \| 24.32 \| 17.69 \| 2949.11 \|	1
\| Mode \| Count \| α \| (cid:96)(km)0 \| (cid:96)(km) \| σ \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| I.AllModes \| 52973 \| 2.13 \| 29.40 \| 9.99 \| 1313.79 \| \| A.Walk \| 14303 \| 3.99 \| 6.37 \| 1.37 \| 3.77 \| \| B.Bicycle \| 5581 \| 2.72 \| 6.37 \| 3.47 \| 30.06 \|	\| Measure \| WHdebarking \| WHboarding \| SGdebarking \| SGboarding \| \| --- \| --- \| --- \| --- \| --- \| \| Passengers \| 850 \| 1400 \| 1400 \| 400 \| \| Min \| 54s \| 77s \| 33s \| 56s \| \| Max(=total) \| 232s(266s) \| 375s(364s) \| 400s(262s) \| 119s(83s) \| \| Avg \| 149s \| 204s \| 214s \| 83s \| \| Var \| 2,331 \| 6,737 \| 10,723 \| 293 \| \| SD \| 4...	0
\| Mode \| Count \| α \| (cid:96)(km)0 \| (cid:96)(km) \| σ \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| I.AllModes \| 52973 \| 2.13 \| 29.40 \| 9.99 \| 1313.79 \| \| A.Walk \| 14303 \| 3.99 \| 6.37 \| 1.37 \| 3.77 \|	\| B.Bicycle \| 5581 \| 2.72 \| 6.37 \| 3.47 \| 30.06 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| C.Auto.Driver \| 18484 \| 2.29 \| 39.90 \| 13.06 \| 1331.84 \| \| D.PublicTrans. \| 6944 \| 1.97 \| 27.98 \| 16.34 \| 2875.92 \| \| Auto.Passenger \| 7658 \| 2.00 \| 24.32 \| 17.69 \| 2949.11 \|	1
\| Mode \| Count \| α \| (cid:96)(km)0 \| (cid:96)(km) \| σ \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| I.AllModes \| 52973 \| 2.13 \| 29.40 \| 9.99 \| 1313.79 \| \| A.Walk \| 14303 \| 3.99 \| 6.37 \| 1.37 \| 3.77 \|	\| Var \| 2,331 \| 6,737 \| 10,723 \| 293 \| \| --- \| --- \| --- \| --- \| --- \| \| SD \| 48 \| 82 \| 104 \| 17 \| \| 75thperc. \| 191s \| 274s \| 302s \| 97s \| \| 95thperc. \| 222s \| 332s \| 378s \| 110s \|	0
\| Dataset \| LocalCovariances \| CrossCovariances \| \| \| --- \| --- \| --- \| --- \| \| S:Fact0 \| SS:343900 \| SS:150004 \| SS:314203 \|	\| S:Fou1 \| SS:70811 \| SS:79614 \| SS:187710 \| \| --- \| --- \| --- \| --- \| \| S:Kar2 \| SS:68422 \| SS:89621 \| SS:130120 \| \| S:Mor-Pix3 \| SS:418633 \| SS:144532 \| SS:208131 \| \| S:Zer4 \| SS:52844 \| SS:154343 \| SS:74942 \|	1
\| Dataset \| LocalCovariances \| CrossCovariances \| \| \| --- \| --- \| --- \| --- \| \| S:Fact0 \| SS:343900 \| SS:150004 \| SS:314203 \|	\| Dataset \| Site1 \| Site2 \| Site3 \| Site4 \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Accuracy \| Time \| Accuracy \| Time \| Accuracy \| Time \| Accuracy \| Time \| \| \| Mfeat-Fac \| 100 \| 0.1365 \| 100 \| 0.256 \| 100 \| 0.143 \| - \| - \| \| Pendigits \| 100 \| 0.062 \| 99.53 \| 0.110 \| 100 \| 0.049 \| 100 \| 1....	0
\| Dataset \| LocalCovariances \| CrossCovariances \| \| \| --- \| --- \| --- \| --- \| \| S:Fact0 \| SS:343900 \| SS:150004 \| SS:314203 \| \| S:Fou1 \| SS:70811 \| SS:79614 \| SS:187710 \|	\| S:Kar2 \| SS:68422 \| SS:89621 \| SS:130120 \| \| --- \| --- \| --- \| --- \| \| S:Mor-Pix3 \| SS:418633 \| SS:144532 \| SS:208131 \| \| S:Zer4 \| SS:52844 \| SS:154343 \| SS:74942 \|	1
\| Dataset \| LocalCovariances \| CrossCovariances \| \| \| --- \| --- \| --- \| --- \| \| S:Fact0 \| SS:343900 \| SS:150004 \| SS:314203 \| \| S:Fou1 \| SS:70811 \| SS:79614 \| SS:187710 \|	\| Pendigits \| 100 \| 0.062 \| 99.53 \| 0.110 \| 100 \| 0.049 \| 100 \| 1.0132 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| SDSS \| 100 \| 49.996 \| 89.09 \| 115.76 \| 89.13 \| 369.93 \| 89.76 \| 1728.097 \|	0
\| Category \| rs \| p \| \| --- \| --- \| --- \| \| Style \| 0.6115095 \| 2.2e-16 \| \| Design \| 0.51948 \| 2.2e-16 \|	\| Fun \| 0.2729658 \| 3.745e-5 \| \| --- \| --- \| --- \| \| Frustration \| -0.4393904 \| 6.79e-12 \| \| Challenge \| -0.387222 \| 2.351e-09 \| \| Creativity \| -0.1559725 \| 0.02007 \|	1
\| Category \| rs \| p \| \| --- \| --- \| --- \| \| Style \| 0.6115095 \| 2.2e-16 \| \| Design \| 0.51948 \| 2.2e-16 \|	\| Category \| #of<br>Concepts \| AvgAUC \| Avgratioof<br>positives \| \| --- \| --- \| --- \| --- \| \| Sports \| 64 \| 0.972 \| 1.93×10 \| \| Animals \| 108 \| 0.982 \| 3.14×10 \| \| Clothes \| 88 \| 0.882 \| 1.71×10 \| \| Food \| 107 \| 0.979 \| 2.56×10 \| \| Furniture \| 38 \| 0.942 \| 5.52×10 \| \| Music \| 16 \| 0.983 \| 1.30×10 \| \| Plants \| 33 \| 0.95...	0
\| Category \| rs \| p \| \| --- \| --- \| --- \| \| Style \| 0.6115095 \| 2.2e-16 \| \| Design \| 0.51948 \| 2.2e-16 \|	\| Fun \| 0.2729658 \| 3.745e-5 \| \| --- \| --- \| --- \| \| Frustration \| -0.4393904 \| 6.79e-12 \| \| Challenge \| -0.387222 \| 2.351e-09 \| \| Creativity \| -0.1559725 \| 0.02007 \|	1
\| Category \| rs \| p \| \| --- \| --- \| --- \| \| Style \| 0.6115095 \| 2.2e-16 \| \| Design \| 0.51948 \| 2.2e-16 \|	\| Clothes \| 88 \| 0.882 \| 1.71×10 \| \| --- \| --- \| --- \| --- \| \| Food \| 107 \| 0.979 \| 2.56×10 \| \| Furniture \| 38 \| 0.942 \| 5.52×10 \| \| Music \| 16 \| 0.983 \| 1.30×10 \| \| Plants \| 33 \| 0.954 \| 2.36×10 \| \| Structures \| 17 \| 0.973 \| 8.33×10 \| \| Places \| 73 \| 1.000 \| 6.03×10 \| \| Scenes \| 113 \| 0.923 \| 1.41×10 \| \| Vehicles \| 53...	0
\| Metric \| Value \| \| --- \| --- \| \| MeanAverageError(MAE) \| 0.9108 \|	\| CorrelationCoeﬃcient \| 0.3051 \| \| --- \| --- \| \| AverageBinaryAccuracy \| 0.6094 \| \| AverageWeightedBinaryAccuracy \| 0.6108 \| \| AverageF1Score \| 0.6325 \| \| Average5-ClassAccuracy \| 0.3320 \| \| Average7-ClassAccuracy \| 0.3296 \|	1
\| Metric \| Value \| \| --- \| --- \| \| MeanAverageError(MAE) \| 0.9108 \|	\| OverallScore \| Uniformweights \| ActualWeights \| LinearRegression \| HuberRegression \| OrdinaryLS \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| Final(Normalized) \| 7.2368 \| 6.1644 \| 0.5690 \| 0.5280 \| 0.6804 \| \| Midterm(Normalized) \| 2.9898 \| 3.2856 \| 0.3802 \| 0.3967 \| 0.3161 \| \| Final(Actual) \| 8.0209 \| 6.3726 \| 0.6013 \| 0...	0
\| Metric \| Value \| \| --- \| --- \| \| MeanAverageError(MAE) \| 0.9108 \| \| CorrelationCoeﬃcient \| 0.3051 \| \| AverageBinaryAccuracy \| 0.6094 \|	\| AverageWeightedBinaryAccuracy \| 0.6108 \| \| --- \| --- \| \| AverageF1Score \| 0.6325 \| \| Average5-ClassAccuracy \| 0.3320 \| \| Average7-ClassAccuracy \| 0.3296 \|	1
\| Metric \| Value \| \| --- \| --- \| \| MeanAverageError(MAE) \| 0.9108 \| \| CorrelationCoeﬃcient \| 0.3051 \| \| AverageBinaryAccuracy \| 0.6094 \|	\| Final(Actual) \| 8.0209 \| 6.3726 \| 0.6013 \| 0.7234 \| 0.7190 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| Midterm(Actual) \| 17.5650 \| 17.51134 \| 0.5218 \| 0.5094 \| 0.4338 \|	0
\| \| Buy \| AAExist \| AANew \| \| --- \| --- \| --- \| --- \| \| SessionEntries \| 147.02 \| 14.13 \| 80.33 \| \| Observations \| 5.64 \| 2.06 \| 3.33 \| \| CRADLEExplanations \| 8.74 \| 1.00 \| 1.33 \| \| PHATTExplanations \| 18.32 \| 1.00 \| 2.00 \|	\| CRADLETime(seconds) \| 0.06 \| 0.01 \| 0.01 \| \| --- \| --- \| --- \| --- \| \| PHATTTime(seconds) \| 0.07 \| 0.01 \| 0.03 \|	1
\| \| Buy \| AAExist \| AANew \| \| --- \| --- \| --- \| --- \| \| SessionEntries \| 147.02 \| 14.13 \| 80.33 \| \| Observations \| 5.64 \| 2.06 \| 3.33 \| \| CRADLEExplanations \| 8.74 \| 1.00 \| 1.33 \| \| PHATTExplanations \| 18.32 \| 1.00 \| 2.00 \|	\| Model \| Realpurchases \| Predictedpurchases \| \| --- \| --- \| --- \| \| with12-hourobservationbaseline1 \| 129 \| 32 \| \| with12-hourobservationbaseline2 \| 129 \| 245 \| \| with12-hourobservationSP \| 129 \| 110 \| \| Model \| Realpurchases \| Predictedpurchases \| \| with12-hourobservationbaseline1 \| 75 \| 28 \| \| with12-hourobservation...	0
\| \| Buy \| AAExist \| AANew \| \| --- \| --- \| --- \| --- \| \| SessionEntries \| 147.02 \| 14.13 \| 80.33 \| \| Observations \| 5.64 \| 2.06 \| 3.33 \|	\| CRADLEExplanations \| 8.74 \| 1.00 \| 1.33 \| \| --- \| --- \| --- \| --- \| \| PHATTExplanations \| 18.32 \| 1.00 \| 2.00 \| \| CRADLETime(seconds) \| 0.06 \| 0.01 \| 0.01 \| \| PHATTTime(seconds) \| 0.07 \| 0.01 \| 0.03 \|	1
\| \| Buy \| AAExist \| AANew \| \| --- \| --- \| --- \| --- \| \| SessionEntries \| 147.02 \| 14.13 \| 80.33 \| \| Observations \| 5.64 \| 2.06 \| 3.33 \|	\| with12-hourobservationSP \| 129 \| 110 \| \| --- \| --- \| --- \| \| Model \| Realpurchases \| Predictedpurchases \| \| with12-hourobservationbaseline1 \| 75 \| 28 \| \| with12-hourobservationbaseline2 \| 75 \| 147 \| \| with12-hourobservationSP \| 75 \| 110 \|	0
\| Non-EnglishorMath \| Frequency \| Comments \| \| --- \| --- \| --- \| \| Ø \| 1in1,000 \| ForSwedishnames \| \| π \| 1in5 \| Commoninmath \|	\| $ \| 4in5 \| Usedinbusiness \| \| --- \| --- \| --- \| \| Ψ \| 1in40,000 \| Unexplainedusage \|	1
\| Non-EnglishorMath \| Frequency \| Comments \| \| --- \| --- \| --- \| \| Ø \| 1in1,000 \| ForSwedishnames \| \| π \| 1in5 \| Commoninmath \|	\| Non-EnglishorMath \| Frequency \| Comments \| \| --- \| --- \| --- \| \| Ø \| 1in1,000 \| ForSwedishnames \| \| π \| 1in5 \| Commoninmath \| \| $ \| 4in5 \| Usedinbusiness \| \| Ψ \| 1in40,000 \| Unexplainedusage \|	0
\| Non-EnglishorMath \| Frequency \| Comments \| \| --- \| --- \| --- \| \| Ø \| 1in1,000 \| ForSwedishnames \| \| π \| 1in5 \| Commoninmath \|	\| $ \| 4in5 \| Usedinbusiness \| \| --- \| --- \| --- \| \| Ψ \| 1in40,000 \| Unexplainedusage \|	1
\| Non-EnglishorMath \| Frequency \| Comments \| \| --- \| --- \| --- \| \| Ø \| 1in1,000 \| ForSwedishnames \| \| π \| 1in5 \| Commoninmath \|	\| π \| 1in5 \| Commoninmath \| \| --- \| --- \| --- \| \| $ \| 4in5 \| Usedinbusiness \| \| Ψ \| 1in40,000 \| Unexplainedusage \|	0
\| \| \| AAAcc. \| WHAcc. \| Diﬀ. \| \| --- \| --- \| --- \| --- \| --- \| \| langid.py \| t≤5<br>5<t≤10<br>10<t≤15<br>t>15 \| 68.0<br>84.6<br>93.0<br>96.2 \| 70.8<br>91.6<br>98.0<br>99.8 \| 2.8<br>7.0<br>5.0<br>3.6 \|	\| IBMWatson \| t≤5<br>5<t≤10<br>10<t≤15<br>t>15 \| 62.8<br>91.9<br>96.4<br>98.0 \| 77.9<br>95.7<br>99.0<br>99.6 \| 15.1<br>3.8<br>2.6<br>1.6 \| \| --- \| --- \| --- \| --- \| --- \| \| MicrosoftAzure \| t≤5<br>5<t≤10<br>10<t≤15<br>t>15 \| 87.6<br>98.5<br>99.6<br>99.5 \| 94.2<br>99.6<br>99.9<br>99.9 \| 6.6<br>1.1<br>0.3<br>0.4 \| \| Twit...	1
\| \| \| AAAcc. \| WHAcc. \| Diﬀ. \| \| --- \| --- \| --- \| --- \| --- \| \| langid.py \| t≤5<br>5<t≤10<br>10<t≤15<br>t>15 \| 68.0<br>84.6<br>93.0<br>96.2 \| 70.8<br>91.6<br>98.0<br>99.8 \| 2.8<br>7.0<br>5.0<br>3.6 \|	\| Index \| σ0<br>Hp-valueCI2 \| Index \| \| --- \| --- \| --- \| \| WT1<br>WT2<br>WT3<br>WT4 \| 1<0.01[0,0.727]0.667<br>1<0.01[0,0.419]0.384<br>1<0.01[0,0.424]0.389<br>1<0.01[0,0.237]0.217 \| WT5<br>WT6<br>A1<br>A2 \| \| WT1<br>WT2<br>WT3<br>WT4 \| 1<0.01[0,0.696]0.638<br>1<0.01[0,0.860]0.788<br>1<0.01[0,0.804]0.731<br>1<0.01[0,0.8...	0
\| \| \| AAAcc. \| WHAcc. \| Diﬀ. \| \| --- \| --- \| --- \| --- \| --- \| \| langid.py \| t≤5<br>5<t≤10<br>10<t≤15<br>t>15 \| 68.0<br>84.6<br>93.0<br>96.2 \| 70.8<br>91.6<br>98.0<br>99.8 \| 2.8<br>7.0<br>5.0<br>3.6 \| \| IBMWatson \| t≤5<br>5<t≤10<br>10<t≤15<br>t>15 \| 62.8<br>91.9<br>96.4<br>98.0 \| 77.9<br>95.7<br>99.0<br>99.6 \| 15.1<b...	\| MicrosoftAzure \| t≤5<br>5<t≤10<br>10<t≤15<br>t>15 \| 87.6<br>98.5<br>99.6<br>99.5 \| 94.2<br>99.6<br>99.9<br>99.9 \| 6.6<br>1.1<br>0.3<br>0.4 \| \| --- \| --- \| --- \| --- \| --- \| \| Twitter \| t≤5<br>5<t≤10<br>10<t≤15<br>t>15 \| 54.0<br>87.5<br>95.7<br>98.5 \| 73.7<br>91.5<br>96.0<br>95.1 \| 19.7<br>4.0<br>0.3<br>-3.0 \|	1
\| \| \| AAAcc. \| WHAcc. \| Diﬀ. \| \| --- \| --- \| --- \| --- \| --- \| \| langid.py \| t≤5<br>5<t≤10<br>10<t≤15<br>t>15 \| 68.0<br>84.6<br>93.0<br>96.2 \| 70.8<br>91.6<br>98.0<br>99.8 \| 2.8<br>7.0<br>5.0<br>3.6 \| \| IBMWatson \| t≤5<br>5<t≤10<br>10<t≤15<br>t>15 \| 62.8<br>91.9<br>96.4<br>98.0 \| 77.9<br>95.7<br>99.0<br>99.6 \| 15.1<b...	\| WT1<br>WT2<br>WT3<br>WT4 \| 1<0.01[0,0.542]0.497<br>1<0.01[0,0.835]0.765<br>1<0.01[0,0.810]0.741<br>1<0.01[0,0.724]0.664 \| WT5<br>WT6<br>A1<br>A2 \| \| --- \| --- \| --- \| \| WT1<br>WT2<br>WT3<br>WT4 \| 1<0.01[0,0.729]0.630<br>1<0.01[0,0.929]0.802<br>1<0.01[0,0.916]0.791<br>1<0.01[0,0.933]0.833 \| WT5<br>WT6<br>A1<br>A2 \|	0
\| Parameter \| Userquin-tile \| \| \| \| --- \| --- \| --- \| --- \| \| \| Q1 \| Q2 \| Q3 \| \| α \| 0.634 \| 1.0145 \| 0.448 \| \| β \| 0.865 \| 0.0 \| 1.141 \| \| θ \| 0.129 \| -0.730 \| -0.020 \|	\| w1 \| 0.00215 \| 0.0 \| 0.00006 \| \| --- \| --- \| --- \| --- \| \| w2 \| 0.00038 \| 0.00030 \| 0.0 \| \| w3 \| 0.00836 \| -0.00135 \| -300.0 \| \| C \| 8546 \| 754 \| -9 \| \| RMSE \| 52800 \| 406 \| 334 \|	1
\| Parameter \| Userquin-tile \| \| \| \| --- \| --- \| --- \| --- \| \| \| Q1 \| Q2 \| Q3 \| \| α \| 0.634 \| 1.0145 \| 0.448 \| \| β \| 0.865 \| 0.0 \| 1.141 \| \| θ \| 0.129 \| -0.730 \| -0.020 \|	\| \\|Ω\\|<br>mnN \| AR-BC-ADMM \| P-BC-ADMM \| TFOCS \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| \| \| \| \| \| \| \| \| \| 0.01 \| 215 \| 217.98 \| 266 \| 271.72 \| 400 \| 334.08 \| 543 \| \| 0.02 \| 180 \| 180.96 \| 210 \| 217.24 \| 400 \| 338.10 \| 344 \| \| 0.03 \| 165 \| 170.66 \| 192 \| 197.58 \| 400 \| 336.50 \| 307 \| \| ...	0
\| Parameter \| Userquin-tile \| \| \| \| --- \| --- \| --- \| --- \| \| \| Q1 \| Q2 \| Q3 \| \| α \| 0.634 \| 1.0145 \| 0.448 \| \| β \| 0.865 \| 0.0 \| 1.141 \|	\| θ \| 0.129 \| -0.730 \| -0.020 \| \| --- \| --- \| --- \| --- \| \| w1 \| 0.00215 \| 0.0 \| 0.00006 \| \| w2 \| 0.00038 \| 0.00030 \| 0.0 \| \| w3 \| 0.00836 \| -0.00135 \| -300.0 \| \| C \| 8546 \| 754 \| -9 \| \| RMSE \| 52800 \| 406 \| 334 \|	1
\| Parameter \| Userquin-tile \| \| \| \| --- \| --- \| --- \| --- \| \| \| Q1 \| Q2 \| Q3 \| \| α \| 0.634 \| 1.0145 \| 0.448 \| \| β \| 0.865 \| 0.0 \| 1.141 \|	\| 0.05 \| 146 \| 152.56 \| 171 \| 175.42 \| 400 \| 338.13 \| 268 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| 0.10 \| 127 \| 134.35 \| 144 \| 148.66 \| 400 \| 339.83 \| 226 \| \| 0.15 \| 118 \| 124.43 \| 129 \| 133.76 \| 400 \| 341.33 \| 211 \| \| 0.25 \| 108 \| 111.98 \| 114 \| 116.32 \| 400 \| 351.30 \| 188 \|	0
\| Type \| \\|V\\| \| \| --- \| --- \| \| Directed \| 18,268,992 \|	\| Undirected \| 59,216,214 \| \| --- \| --- \| \| Weighted \| 23,947,347 \| \| Chain \| 10,000,000 \|	1
\| Type \| \\|V\\| \| \| --- \| --- \| \| Directed \| 18,268,992 \|	\| Dim. \| ArenaSize \| Obstacles \| OMPLRRT \| BoundedMotionPlan \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Time(s) \| Nodes \| NodesinPath \| Time(s) \| Bound \| \| \| \| \| 2 \| 600×600 \| 2 \| 1.8 \| 9500 \| 60 \| 1.3 \| 4 \| \| 2 \| 6000×6000 \| 3 \| 23.5 \| 11256 \| 78 \| 45.23 \| 5 \| \| 3 \| 600×600 \| 2 \| 132.6 \| 90408 \|...	0
\| Type \| \\|V\\| \| \| --- \| --- \| \| Directed \| 18,268,992 \|	\| Undirected \| 59,216,214 \| \| --- \| --- \| \| Weighted \| 23,947,347 \| \| Chain \| 10,000,000 \|	1
\| Type \| \\|V\\| \| \| --- \| --- \| \| Directed \| 18,268,992 \|	\| 2 \| 6000×6000 \| 3 \| 23.5 \| 11256 \| 78 \| 45.23 \| 5 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| 3 \| 600×600 \| 2 \| 132.6 \| 90408 \| 71 \| 120.3 \| 5 \| \| 3 \| 6000×6000 \| 3 \| 1002.6 \| 183412 \| 93 \| 953.4 \| 5 \|	0
\| 1(1-max) \| 5 \| 10 \| 15 \| \| --- \| --- \| --- \| --- \| \| 81.25(81.00,81.47) \| 80.83(80.69,80.91) \| 80.05(79.69,80.41) \| 80.11(79.89,80.36) \| \| 47.24(46.90,47.65) \| 46.63(46.31,47.12) \| 46.04(45.27,46.61) \| 45.91(45.16,46.49) \| \| 85.53(85.26,85.80) \| 84.61(84.47,84.90) \| 84.09(83.94,84.22) \| 84.02(83.57,84.28) \| \| 93.18(9...	\| 83.81(83.44,84.37) \| 82.70(82.14,83.11) \| 82.46(82.17,82.76) \| 82.26(81.86,82.90) \| \| --- \| --- \| --- \| --- \| \| 89.39(89.14,89.58) \| 89.36(89.17,89.57) \| 89.14(89.00,89.45) \| 89.31(89.18,89.48) \| \| 64.77(64.38,65.20) \| 64.54(64.0365.02) \| 63.87(63.5864.37) \| 63.44(63.0363.76) \| \| 67.33(66.80,67.82) \| 66.81(66.2467.25...	1
\| 1(1-max) \| 5 \| 10 \| 15 \| \| --- \| --- \| --- \| --- \| \| 81.25(81.00,81.47) \| 80.83(80.69,80.91) \| 80.05(79.69,80.41) \| 80.11(79.89,80.36) \| \| 47.24(46.90,47.65) \| 46.63(46.31,47.12) \| 46.04(45.27,46.61) \| 45.91(45.16,46.49) \| \| 85.53(85.26,85.80) \| 84.61(84.47,84.90) \| 84.09(83.94,84.22) \| 84.02(83.57,84.28) \| \| 93.18(9...	\| 81.25(81.00,81.47) \| 80.83(80.69,80.91) \| 80.05(79.69,80.41) \| 80.11(79.89,80.36) \| \| --- \| --- \| --- \| --- \| \| 47.24(46.90,47.65) \| 46.63(46.31,47.12) \| 46.04(45.27,46.61) \| 45.91(45.16,46.49) \| \| 85.53(85.26,85.80) \| 84.61(84.47,84.90) \| 84.09(83.94,84.22) \| 84.02(83.57,84.28) \| \| 93.18(93.09,93.31) \| 92.49(92.33,9...	0
\| 1(1-max) \| 5 \| 10 \| 15 \| \| --- \| --- \| --- \| --- \| \| 81.25(81.00,81.47) \| 80.83(80.69,80.91) \| 80.05(79.69,80.41) \| 80.11(79.89,80.36) \| \| 47.24(46.90,47.65) \| 46.63(46.31,47.12) \| 46.04(45.27,46.61) \| 45.91(45.16,46.49) \| \| 85.53(85.26,85.80) \| 84.61(84.47,84.90) \| 84.09(83.94,84.22) \| 84.02(83.57,84.28) \| \| 93.18(9...	\| 91.53(91.26,91.78) \| 89.93(89.75,90.09) \| 89.73(89.61,89.83) \| 89.49(89.31,89.65) \| \| --- \| --- \| --- \| --- \| \| 83.81(83.44,84.37) \| 82.70(82.14,83.11) \| 82.46(82.17,82.76) \| 82.26(81.86,82.90) \| \| 89.39(89.14,89.58) \| 89.36(89.17,89.57) \| 89.14(89.00,89.45) \| 89.31(89.18,89.48) \| \| 64.77(64.38,65.20) \| 64.54(64.0365...	1
\| 1(1-max) \| 5 \| 10 \| 15 \| \| --- \| --- \| --- \| --- \| \| 81.25(81.00,81.47) \| 80.83(80.69,80.91) \| 80.05(79.69,80.41) \| 80.11(79.89,80.36) \| \| 47.24(46.90,47.65) \| 46.63(46.31,47.12) \| 46.04(45.27,46.61) \| 45.91(45.16,46.49) \| \| 85.53(85.26,85.80) \| 84.61(84.47,84.90) \| 84.09(83.94,84.22) \| 84.02(83.57,84.28) \| \| 93.18(9...	\| 93.18(93.09,93.31) \| 92.49(92.33,92.61) \| 92.66(92.50,92.79) \| 92.52(92.33,92.96) \| \| --- \| --- \| --- \| --- \| \| 91.53(91.26,91.78) \| 89.93(89.75,90.09) \| 89.73(89.61,89.83) \| 89.49(89.31,89.65) \| \| 83.81(83.44,84.37) \| 82.70(82.14,83.11) \| 82.46(82.17,82.76) \| 82.26(81.86,82.90) \| \| 89.39(89.14,89.58) \| 89.36(89.17,8...	0
\| Phase1 \| Coordinates \| Error1 \| HMM \| 71,3 \| \| --- \| --- \| --- \| --- \| --- \| \| DTW \| 40,6 \| \| \| \| \| Error2 \| HMM \| 70,1 \| \| \| \| DTW \| 28,9 \| \| \| \| \| Angles \| Error1 \| HMM \| 78,1 \| \|	\| DTW \| 13,1 \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| \| Error2 \| HMM \| 64,7 \| \| \| \| DTW \| 10,4 \| \| \| \| \| Phase2 \| Coordinates \| Error1 \| HMM \| 65,5 \| \| DTW \| 35,0 \| \| \| \| \| Error2 \| HMM \| 62,0 \| \| \| \| DTW \| 26,0 \| \| \| \| \| Angles \| Error1 \| HMM \| 81,3 \| \| \| DTW \| 13,0 \| \| \| \| \| Error2 \| HMM \| 64,7 \| ...	1
\| Phase1 \| Coordinates \| Error1 \| HMM \| 71,3 \| \| --- \| --- \| --- \| --- \| --- \| \| DTW \| 40,6 \| \| \| \| \| Error2 \| HMM \| 70,1 \| \| \| \| DTW \| 28,9 \| \| \| \| \| Angles \| Error1 \| HMM \| 78,1 \| \|	\| Resolution \| lrel.error(SL)2 \| lrel.error(FFSL)2 \| \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| N \| M \| C \| µ \| I1 \| I3 \| R0 \| R2 \| \| 200 \| 50 \| 1.2 \| 0.8 \| 1.21·10 \| 3.77·10 \| 2.67·10 \| 6.46·10 \| \| 200 \| 100 \| 0.6 \| 0.4 \| 3.38·10 \| 2.91·10 \| 4.83·10 \| 1.89·10 \| \| 200 \| 200 \| 0.3 \| 0.2 \| 4.15·10...	0
\| Phase1 \| Coordinates \| Error1 \| HMM \| 71,3 \| \| --- \| --- \| --- \| --- \| --- \| \| DTW \| 40,6 \| \| \| \| \| Error2 \| HMM \| 70,1 \| \| \| \| DTW \| 28,9 \| \| \| \| \| Angles \| Error1 \| HMM \| 78,1 \| \| \| DTW \| 13,1 \| \| \| \| \| Error2 \| HMM \| 64,7 \| \| \| \| DTW \| 10,4 \| \| \| \| \| Phase2 \| Coordinates \| Error1 \| HMM \| 65,5 \| \| ...	\| DTW \| 26,0 \| \| \| \| --- \| --- \| --- \| --- \| \| Angles \| Error1 \| HMM \| 81,3 \| \| DTW \| 13,0 \| \| \| \| Error2 \| HMM \| 64,7 \| \| \| DTW \| 47,9 \| \| \|	1
\| Phase1 \| Coordinates \| Error1 \| HMM \| 71,3 \| \| --- \| --- \| --- \| --- \| --- \| \| DTW \| 40,6 \| \| \| \| \| Error2 \| HMM \| 70,1 \| \| \| \| DTW \| 28,9 \| \| \| \| \| Angles \| Error1 \| HMM \| 78,1 \| \| \| DTW \| 13,1 \| \| \| \| \| Error2 \| HMM \| 64,7 \| \| \| \| DTW \| 10,4 \| \| \| \| \| Phase2 \| Coordinates \| Error1 \| HMM \| 65,5 \| \| ...	\| 200 \| 200 \| 0.3 \| 0.2 \| 4.15·10 \| 1.57·10 \| 1.11·10 \| 2.67·10 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| 400 \| 100 \| 1.2 \| 1.6 \| 5.02·10 \| 1.84·10 \| 1.25·10 \| 2.14·10 \| \| 400 \| 200 \| 0.6 \| 0.8 \| 1.30·10 \| 1.16·10 \| 3.21·10 \| 4.79·10 \| \| 400 \| 400 \| 0.3 \| 0.4 \| 2.95·10 \| 4.27·10 \| 4.41·10 \| 6.67·10 \|	0
\| rank-1 \| rank-5 \| rank-10 \| \| --- \| --- \| --- \| \| 21.14<br>15.47<br>19.87<br>17.01<br>21.74 \| 40.34<br>34.53<br>38.89<br>33.67<br>- \| 53.29<br>43.99<br>49.37<br>46.84<br>- \|	\| 27.44 \| 43.01 \| 50.82 \| \| --- \| --- \| --- \| \| 40.00<br>40.73<br>40.22<br>42.28<br>35.8<br>53.54<br>42.97<br>34.87<br>42.4<br>37.8 \| 67.40<br>-<br>68.16<br>71.46<br>67.4<br>82.59<br>75.82<br>66.68<br>68.7<br>66.9 \| 80.51<br>82.34<br>80.70<br>82.94<br>83.5<br>91.49<br>87.28<br>79.30<br>79.4<br>77.4 \| \| 43.29<br>54.49 \|...	1
\| rank-1 \| rank-5 \| rank-10 \| \| --- \| --- \| --- \| \| 21.14<br>15.47<br>19.87<br>17.01<br>21.74 \| 40.34<br>34.53<br>38.89<br>33.67<br>- \| 53.29<br>43.99<br>49.37<br>46.84<br>- \|	\| rank-1 \| rank-5 \| rank-10 \| \| --- \| --- \| --- \| \| 11.7<br>19.9<br>24.3<br>46.3<br>52.2<br>54.7 \| 33.3<br>49.3<br>-<br>78.9<br>84.3<br>80.1 \| 48.0<br>64.7<br>-<br>88.6<br>94.8<br>88.3 \| \| 35.8<br>59.8 \| 65.3<br>88.3 \| 77.96<br>94.2 \| \| 49.1<br>71.8 \| 78.4<br>93.0 \| 87.2<br>97.1 \| \| 71.5<br>83.4 \| 91.5<br>97.1 \| 95.9<b...	0
\| rank-1 \| rank-5 \| rank-10 \| \| --- \| --- \| --- \| \| 21.14<br>15.47<br>19.87<br>17.01<br>21.74 \| 40.34<br>34.53<br>38.89<br>33.67<br>- \| 53.29<br>43.99<br>49.37<br>46.84<br>- \|	\| 27.44 \| 43.01 \| 50.82 \| \| --- \| --- \| --- \| \| 40.00<br>40.73<br>40.22<br>42.28<br>35.8<br>53.54<br>42.97<br>34.87<br>42.4<br>37.8 \| 67.40<br>-<br>68.16<br>71.46<br>67.4<br>82.59<br>75.82<br>66.68<br>68.7<br>66.9 \| 80.51<br>82.34<br>80.70<br>82.94<br>83.5<br>91.49<br>87.28<br>79.30<br>79.4<br>77.4 \| \| 43.29<br>54.49 \|...	1
\| rank-1 \| rank-5 \| rank-10 \| \| --- \| --- \| --- \| \| 21.14<br>15.47<br>19.87<br>17.01<br>21.74 \| 40.34<br>34.53<br>38.89<br>33.67<br>- \| 53.29<br>43.99<br>49.37<br>46.84<br>- \|	\| 49.1<br>71.8 \| 78.4<br>93.0 \| 87.2<br>97.1 \| \| --- \| --- \| --- \| \| 71.5<br>83.4 \| 91.5<br>97.1 \| 95.9<br>98.7 \|	0
\| K \| dc \| (d+1)/Kc \| d/Kc \| α(from)d \| \| --- \| --- \| --- \| --- \| --- \| \| 2 \| 2 \| 1.5 \| 1 \| 1 \| \| 3 \| 11.5 \| 4.166 \| 3.83 \| 3.927 \| \| 4 \| 32.6 \| 8.4 \| 8.15 \| 8.297 \| \| 5 \| 80 \| 16.2 \| 16.00 \| 16.12 \|	\| 6 \| 182 \| 30.5 \| 30.33 \| 30.5 \| \| --- \| --- \| --- \| --- \| --- \| \| 7 \| 400 \| 57.28 \| 57.14 \| 57.22 \| \| 8 \| 856 \| 107.13 \| 107.00 \| 107.24 \|	1
\| K \| dc \| (d+1)/Kc \| d/Kc \| α(from)d \| \| --- \| --- \| --- \| --- \| --- \| \| 2 \| 2 \| 1.5 \| 1 \| 1 \| \| 3 \| 11.5 \| 4.166 \| 3.83 \| 3.927 \| \| 4 \| 32.6 \| 8.4 \| 8.15 \| 8.297 \| \| 5 \| 80 \| 16.2 \| 16.00 \| 16.12 \|	\| K \| αd \| αf \| αs \| αo \| αM \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 2 \| 1.5 \| − \| 1.5 \| − \| 2.8 \| \| 3 \| 4.16 \| − \| 4.55 \| − \| 5.83 \| \| 4 \| 8.4 \| − \| 10.15 \| − \| 11.56 \| \| 5 \| 16.2 \| 20.3 \| 21.26 \| 20.7 \| 22.8 \| \| 6 \| 30.5 \| 38.5 \| 43.41 \| 42.95 \| 45 \| \| 7 \| 57.28 \| 72.1 \| 87.84 \| 87.35 \| 89.42 \| \| 8 \| 107.13 \| 134.2...	0
\| K \| dc \| (d+1)/Kc \| d/Kc \| α(from)d \| \| --- \| --- \| --- \| --- \| --- \| \| 2 \| 2 \| 1.5 \| 1 \| 1 \| \| 3 \| 11.5 \| 4.166 \| 3.83 \| 3.927 \| \| 4 \| 32.6 \| 8.4 \| 8.15 \| 8.297 \| \| 5 \| 80 \| 16.2 \| 16.00 \| 16.12 \| \| 6 \| 182 \| 30.5 \| 30.33 \| 30.5 \|	\| 7 \| 400 \| 57.28 \| 57.14 \| 57.22 \| \| --- \| --- \| --- \| --- \| --- \| \| 8 \| 856 \| 107.13 \| 107.00 \| 107.24 \|	1
\| K \| dc \| (d+1)/Kc \| d/Kc \| α(from)d \| \| --- \| --- \| --- \| --- \| --- \| \| 2 \| 2 \| 1.5 \| 1 \| 1 \| \| 3 \| 11.5 \| 4.166 \| 3.83 \| 3.927 \| \| 4 \| 32.6 \| 8.4 \| 8.15 \| 8.297 \| \| 5 \| 80 \| 16.2 \| 16.00 \| 16.12 \| \| 6 \| 182 \| 30.5 \| 30.33 \| 30.5 \|	\| 6 \| 30.5 \| 38.5 \| 43.41 \| 42.95 \| 45 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 7 \| 57.28 \| 72.1 \| 87.84 \| 87.35 \| 89.42 \| \| 8 \| 107.13 \| 134.2 \| 176.57 \| 176.06 \| 178.1 \|	0
\| ContextPRF \| \| --- \| \| both96.496.296.3 \| \| bi-character94.994.694.8 \|	\| uni-character95.895.895.8 \| \| --- \| \| oracle-combined97.497.397.4 \|	1
\| ContextPRF \| \| --- \| \| both96.496.296.3 \| \| bi-character94.994.694.8 \|	\| BranchesofA \| BranchesofB \| BranchesofC \| \| --- \| --- \| --- \| \| Flatten \| \| \| \| FC-64 \| FC-256 \| FC-512 \| \| FC-cA1 \| FC-256 \| FC-512 \| \| \| FC-cB1 \| FC-cC1 \| \| \| *Flatten \| \| \| \| FC-512 \| FC-1024 \| \| \| FC-512 \| FC-1024 \| \| \| FC-cB2 \| FC-cC2 \|	0
\| ContextPRF \| \| --- \| \| both96.496.296.3 \|	\| bi-character94.994.694.8 \| \| --- \| \| uni-character95.895.895.8 \| \| oracle-combined97.497.397.4 \|	1
\| ContextPRF \| \| --- \| \| both96.496.296.3 \|	\| FC-64 \| FC-256 \| FC-512 \| \| --- \| --- \| --- \| \| FC-cA1 \| FC-256 \| FC-512 \| \| \| FC-cB1 \| FC-cC1 \| \| \| **Flatten \| \| \| \| FC-512 \| FC-1024 \| \| \| FC-512 \| FC-1024 \| \| \| FC-cB2 \| FC-cC2 \|	0
\| Model \| Accuracy \| Precision<br>(0,1) \| Recall<br>(0,1) \| F-score<br>(0,1) \| \| --- \| --- \| --- \| --- \| --- \| \| NB \| 94.11 \| 95,92.32 \| 96,90 \| 95.5,91.4 \| \| SVM \| 93.31 \| 97.13,87.18 \| 92.4,94.91 \| 94.74,90.90 \|	\| E-RNN \| 95.4 \| 98.42,90.37 \| 94.47,97.12 \| 96.40,93.62 \| \| --- \| --- \| --- \| --- \| --- \| \| CNN-RNN \| 96.01 \| 96.22,95.56 \| 97.69,92.81 \| 96.94,94.16 \| \| EC-RNN \| 98.1 \| 99.0,96.07 \| 97.85,98.27 \| 98.42,97.16 \|	1
\| Model \| Accuracy \| Precision<br>(0,1) \| Recall<br>(0,1) \| F-score<br>(0,1) \| \| --- \| --- \| --- \| --- \| --- \| \| NB \| 94.11 \| 95,92.32 \| 96,90 \| 95.5,91.4 \| \| SVM \| 93.31 \| 97.13,87.18 \| 92.4,94.91 \| 94.74,90.90 \|	\| Model \| Label \| ACC \| TNR \| FPR \| FNR \| Precision \| Recall \| F1 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| SVM<br>MLP<br>LR<br>RF<br>CNN \| 0<br>0<br>0<br>0<br>0 \| 87.41±0.46<br>75.56±12.84<br>64.08±0.66<br>87.40±0.32<br>92.63±0.27 \| 97.00±0.20<br>74.86±18.72<br>99.73±0.11<br>93.47±0.19<br>94.64±0.44 ...	0
\| Model \| Accuracy \| Precision<br>(0,1) \| Recall<br>(0,1) \| F-score<br>(0,1) \| \| --- \| --- \| --- \| --- \| --- \| \| NB \| 94.11 \| 95,92.32 \| 96,90 \| 95.5,91.4 \|	\| SVM \| 93.31 \| 97.13,87.18 \| 92.4,94.91 \| 94.74,90.90 \| \| --- \| --- \| --- \| --- \| --- \| \| E-RNN \| 95.4 \| 98.42,90.37 \| 94.47,97.12 \| 96.40,93.62 \| \| CNN-RNN \| 96.01 \| 96.22,95.56 \| 97.69,92.81 \| 96.94,94.16 \| \| EC-RNN \| 98.1 \| 99.0,96.07 \| 97.85,98.27 \| 98.42,97.16 \|	1
\| Model \| Accuracy \| Precision<br>(0,1) \| Recall<br>(0,1) \| F-score<br>(0,1) \| \| --- \| --- \| --- \| --- \| --- \| \| NB \| 94.11 \| 95,92.32 \| 96,90 \| 95.5,91.4 \|	\| SVM<br>MLP<br>LR<br>RF<br>CNN \| 5<br>5<br>5<br>5<br>5 \| 96.14±0.22<br>93.88±0.97<br>94.31±0.26<br>94.54±0.11<br>96.60±0.16 \| 97.35±0.31<br>95.47±0.96<br>94.60±0.31<br>96.29±0.14<br>98.26±0.30 \| 2.65±0.31<br>4.53±0.96<br>5.40±0.31<br>3.71±0.14<br>1.74±0.30 \| 20.33±3.08<br>28.15±9.10<br>15.11±2.45<br>31.71±2.48<br>21.7...	0
\| operation \| Latticesize \| \| \| --- \| --- \| --- \| \| \| \| \| \| +,-,*,/ \| 0.0011 \| 0.0046 \|	\| cos,sin \| 0.0540 \| 0.0650 \| \| --- \| --- \| --- \| \| log,exp \| 0.0609 \| 0.1100 \|	1
\| operation \| Latticesize \| \| \| --- \| --- \| --- \| \| \| \| \| \| +,-,*,/ \| 0.0011 \| 0.0046 \|	\| N \| exp \| s,i1 \| s,i2 \| s,s,i \| f,i \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 64 \| 1 \| 0.4 \| 2 \| 7 \| 9 \| \| 128 \| 5 \| 0.7 \| 3 \| 30 \| 39 \| \| 256 \| 30 \| 1.3 \| 7 \| 139 \| 206 \| \| 512 \| 344 \| 4.2 \| 19 \| 611 \| 1200 \|	0
\| operation \| Latticesize \| \| \| --- \| --- \| --- \| \| \| \| \| \| +,-,*,/ \| 0.0011 \| 0.0046 \|	\| cos,sin \| 0.0540 \| 0.0650 \| \| --- \| --- \| --- \| \| log,exp \| 0.0609 \| 0.1100 \|	1
\| operation \| Latticesize \| \| \| --- \| --- \| --- \| \| \| \| \| \| +,-,*,/ \| 0.0011 \| 0.0046 \|	\| 256 \| 30 \| 1.3 \| 7 \| 139 \| 206 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 512 \| 344 \| 4.2 \| 19 \| 611 \| 1200 \|	0
\| Imagetosentence \| \| --- \| \| R@1R@5R@10Medianrank \|	\| 2.56.79.7714 \| \| --- \| \| 0.00.41.21348 \| \| 0.10.71.11103 \| \| 1.25.79.5360 \| \| 1.45.78.9278 \| \| 10.429.340.017 \|	1
\| Imagetosentence \| \| --- \| \| R@1R@5R@10Medianrank \|	\| Imagetosentence \| \| --- \| \| R@1R@5R@10Medianrank \| \| 22.248.261.44.8 \| \| 18.440.250.910 \| \| 23.050.762.95 \| \| 26.652.063.75 \|	0
\| Imagetosentence \| \| --- \| \| R@1R@5R@10Medianrank \| \| 2.56.79.7714 \| \| 0.00.41.21348 \| \| 0.10.71.11103 \|	\| 1.25.79.5360 \| \| --- \| \| 1.45.78.9278 \| \| 10.429.340.017 \|	1
\| Imagetosentence \| \| --- \| \| R@1R@5R@10Medianrank \| \| 2.56.79.7714 \| \| 0.00.41.21348 \| \| 0.10.71.11103 \|	\| 22.248.261.44.8 \| \| --- \| \| 18.440.250.910 \| \| 23.050.762.95 \| \| 26.652.063.75 \|	0
\| Nbof \| BSSR1 \| PRIVATE \| BANCA \| \| --- \| --- \| --- \| --- \| \| users \| 512 \| 100 \| 208 \|	\| intratuples \| 512 \| 1600 \| 467 \| \| --- \| --- \| --- \| --- \| \| intertuples \| 261632 \| 158400 \| 624 \| \| items/tuples \| 4 \| 5 \| 4 \|	1
\| Nbof \| BSSR1 \| PRIVATE \| BANCA \| \| --- \| --- \| --- \| --- \| \| users \| 512 \| 100 \| 208 \|	\| Nbof \| BSSR1 \| PRIVATE \| BANCA \| \| --- \| --- \| --- \| --- \| \| users \| 512 \| 100 \| 208 \| \| intratuple \| 512 \| 1600 \| 467 \| \| intertuple \| 261632 \| 158400 \| 624 \| \| items/tuples \| 4 \| 5 \| 4 \|	0
\| Nbof \| BSSR1 \| PRIVATE \| BANCA \| \| --- \| --- \| --- \| --- \| \| users \| 512 \| 100 \| 208 \| \| intratuples \| 512 \| 1600 \| 467 \|	\| intertuples \| 261632 \| 158400 \| 624 \| \| --- \| --- \| --- \| --- \| \| items/tuples \| 4 \| 5 \| 4 \|	1
\| Nbof \| BSSR1 \| PRIVATE \| BANCA \| \| --- \| --- \| --- \| --- \| \| users \| 512 \| 100 \| 208 \| \| intratuples \| 512 \| 1600 \| 467 \|	\| intertuple \| 261632 \| 158400 \| 624 \| \| --- \| --- \| --- \| --- \| \| items/tuples \| 4 \| 5 \| 4 \|	0
\| Predictor \| AdjustedR \| p−value \| \| --- \| --- \| --- \| \| AvgTweet-rate \| 0.79 \| 8.39e-09 \|	\| AvgTweet-rate+thcnt \| 0.83 \| 7.93e-09 \| \| --- \| --- \| --- \| \| AvgTweet-rate+PNratio \| 0.92 \| 4.31e-12 \| \| Tweet-ratetimeseries \| 0.84 \| 4.18e-06 \| \| Tweet-ratetimeseries+thcnt \| 0.863 \| 3.64e-06 \| \| Tweet-ratetimeseries+PNratio \| 0.94 \| 1.84e-08 \|	1
\| Predictor \| AdjustedR \| p−value \| \| --- \| --- \| --- \| \| AvgTweet-rate \| 0.79 \| 8.39e-09 \|	\| Datasets \| TWEETS \| GN \| YELP \| \| --- \| --- \| --- \| --- \| \| #ofmsg \| 12.7M \| 2.2M \| 1.6M \| \| Vocabularysize \| 1.7M \| 208K \| 85K \| \| Avg.#ofmsgkeywords \| 9 \| 7 \| 37 \| \| SizeinGB \| 2.26 \| 0.3 \| 1.04 \|	0
\| Predictor \| AdjustedR \| p−value \| \| --- \| --- \| --- \| \| AvgTweet-rate \| 0.79 \| 8.39e-09 \| \| AvgTweet-rate+thcnt \| 0.83 \| 7.93e-09 \| \| AvgTweet-rate+PNratio \| 0.92 \| 4.31e-12 \| \| Tweet-ratetimeseries \| 0.84 \| 4.18e-06 \|	\| Tweet-ratetimeseries+thcnt \| 0.863 \| 3.64e-06 \| \| --- \| --- \| --- \| \| Tweet-ratetimeseries+PNratio \| 0.94 \| 1.84e-08 \|	1
\| Predictor \| AdjustedR \| p−value \| \| --- \| --- \| --- \| \| AvgTweet-rate \| 0.79 \| 8.39e-09 \| \| AvgTweet-rate+thcnt \| 0.83 \| 7.93e-09 \| \| AvgTweet-rate+PNratio \| 0.92 \| 4.31e-12 \| \| Tweet-ratetimeseries \| 0.84 \| 4.18e-06 \|	\| Avg.#ofmsgkeywords \| 9 \| 7 \| 37 \| \| --- \| --- \| --- \| --- \| \| SizeinGB \| 2.26 \| 0.3 \| 1.04 \|	0
\| Codec \| Time(s) \| \| --- \| --- \| \| JPEG \| 0.39 \| \| JPEG2000 \| 0.59 \| \| Balle’sworkwithCPU \| 7.39 \|	\| ProposeCAEwithCPU \| 2.29 \| \| --- \| --- \| \| ProposeCAEwithGPU \| 0.67 \|	1
\| Codec \| Time(s) \| \| --- \| --- \| \| JPEG \| 0.39 \| \| JPEG2000 \| 0.59 \| \| Balle’sworkwithCPU \| 7.39 \|	\| Teamname \| meanAP \| \| --- \| --- \| \| CUVideo(Ours) \| 67.82 \| \| ITLabVID-Inha \| 51.50 \| \| UIUC-IFP \| 48.72 \| \| Trimps-Soushen \| 46.12 \| \| 1-HKUST \| 42.11 \| \| HiVision \| 37.52 \| \| RUCBDAI \| 35.97 \|	0
\| Codec \| Time(s) \| \| --- \| --- \| \| JPEG \| 0.39 \| \| JPEG2000 \| 0.59 \|	\| Balle’sworkwithCPU \| 7.39 \| \| --- \| --- \| \| ProposeCAEwithCPU \| 2.29 \| \| ProposeCAEwithGPU \| 0.67 \|	1
\| Codec \| Time(s) \| \| --- \| --- \| \| JPEG \| 0.39 \| \| JPEG2000 \| 0.59 \|	\| HiVision \| 37.52 \| \| --- \| --- \| \| RUCBDAI \| 35.97 \|	0
\| Instance \| Target \| NuMVC<br>IterationsTime(s) \| ULSA<br>IterationsTime(s) \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| frb40-19-1<br>frb40-19-2<br>frb40-19-3<br>frb40-19-4<br>frb40-19-5 \| 40<br>40<br>40<br>40<br>40 \| 205831<br>3668573<br>873459<br>2602852<br>7830157 \| 0.16<br>2.74<br>0.65<br>1.94<br>5.84 \| 25921<...	\| frb59-26-1<br>frb59-26-2<br>frb59-26-3<br>frb59-26-4<br>frb59-26-5 \| 59<br>59<br>59<br>59<br>59 \| 827709031<br>2309186751<br>389945144<br>535848770<br>30809115 \| 1079.55<br>3009.04<br>508.30<br>699.94<br>40.12 \| 187448484<br>236516360<br>62055067<br>215800597<br>2429727 \| 27.76<br>35.06<br>9.21<br>32.31<br>0.38 \| \| -...	1
\| Instance \| Target \| NuMVC<br>IterationsTime(s) \| ULSA<br>IterationsTime(s) \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| frb40-19-1<br>frb40-19-2<br>frb40-19-3<br>frb40-19-4<br>frb40-19-5 \| 40<br>40<br>40<br>40<br>40 \| 205831<br>3668573<br>873459<br>2602852<br>7830157 \| 0.16<br>2.74<br>0.65<br>1.94<br>5.84 \| 25921<...	\| Pattern<br>Size \| Algorithm \| System1 \| System2 \| System3 \| \| --- \| --- \| --- \| --- \| --- \| \| 2 \| ABM<br>HAL<br>L<br>SF<br>TBM \| 8.89665<br>8.26117<br>6.08718<br>4.28357<br>10.5142 \| 24.6946<br>24.6946<br>24.6946<br>9.87784<br>32.9261 \| 32.9261<br>32.9261<br>32.9261<br>24.6946<br>32.9261 \| \| 4 \| ABM<br>HAL<br>L<br>SF...	0
\| Instance \| Target \| NuMVC<br>IterationsTime(s) \| ULSA<br>IterationsTime(s) \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| frb40-19-1<br>frb40-19-2<br>frb40-19-3<br>frb40-19-4<br>frb40-19-5 \| 40<br>40<br>40<br>40<br>40 \| 205831<br>3668573<br>873459<br>2602852<br>7830157 \| 0.16<br>2.74<br>0.65<br>1.94<br>5.84 \| 25921<...	\| frb45-21-1<br>frb45-21-2<br>frb45-21-3<br>frb45-21-4<br>frb45-21-5 \| 45<br>45<br>45<br>45<br>45 \| 1993837<br>4377381<br>9277665<br>2718138<br>7712590 \| 1.77<br>3.86<br>8.16<br>2.40<br>6.81 \| 661451<br>1817130<br>3587173<br>454525<br>6581368 \| 0.10<br>0.26<br>0.50<br>0.07<br>0.93 \| \| --- \| --- \| --- \| --- \| --- \| --- ...	1
\| Instance \| Target \| NuMVC<br>IterationsTime(s) \| ULSA<br>IterationsTime(s) \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| frb40-19-1<br>frb40-19-2<br>frb40-19-3<br>frb40-19-4<br>frb40-19-5 \| 40<br>40<br>40<br>40<br>40 \| 205831<br>3668573<br>873459<br>2602852<br>7830157 \| 0.16<br>2.74<br>0.65<br>1.94<br>5.84 \| 25921<...	\| 6 \| ABM<br>HAL<br>L<br>SF<br>TBM \| 28.1637<br>31.2569<br>6.45279<br>4.28142<br>29.2294 \| 60.2832<br>63.6323<br>27.4015<br>9.84005<br>62.249 \| 89.4829<br>108.055<br>37.9265<br>22.1973<br>93.8837 \| \| --- \| --- \| --- \| --- \| --- \| \| 8 \| ABM<br>HAL<br>L<br>SF<br>TBM \| 33.7463<br>37.0999<br>6.34086<br>4.23323<br>35.3437 \|...	0

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premise string	hypothesis string	label int64
\| Webgraph \| Positiveedges \| Negativeedges \| Classimbalance \| \| --- \| --- \| --- \| --- \| \| webND \| 133,279 \| 95,939million \| 1:719,835 \| \| webSB \| 756,937 \| 466,034million \| 1:615,684 \|	\| webGL \| 494,982 \| 741,978million \| 1:1,498,999 \| \| --- \| --- \| --- \| --- \| \| erd˝os \| 1,543,090 \| 2,970,460million \| 1:1,925,007 \| \| hudong \| 1,446,760 \| 3,786,991million \| 1:2,617,566 \| \| baidu \| 1,701,330 \| 4,370,982million \| 1:2,569,155 \|	1
\| Webgraph \| Positiveedges \| Negativeedges \| Classimbalance \| \| --- \| --- \| --- \| --- \| \| webND \| 133,279 \| 95,939million \| 1:719,835 \| \| webSB \| 756,937 \| 466,034million \| 1:615,684 \|	\| Network \| Vertices \| Edges \| τ \| IMQueries \| kmax \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| wiki-Vote \| 7K \| 104K \| 10 \| 212 \| 50 \| \| Flixster \| 99K \| 978K \| 10 \| 223 \| 100 \| \| soc-Pokec \| 1.6M \| 31M \| 10 \| 636 \| 200 \| \| ﬂickr-growth \| 2.3M \| 33M \| 10 \| 779 \| 200 \| \| Twitter \| 41.6M \| 1.5G \| 10 \| 3011 \| 500 \|	0
\| Webgraph \| Positiveedges \| Negativeedges \| Classimbalance \| \| --- \| --- \| --- \| --- \| \| webND \| 133,279 \| 95,939million \| 1:719,835 \| \| webSB \| 756,937 \| 466,034million \| 1:615,684 \| \| webGL \| 494,982 \| 741,978million \| 1:1,498,999 \|	\| erd˝os \| 1,543,090 \| 2,970,460million \| 1:1,925,007 \| \| --- \| --- \| --- \| --- \| \| hudong \| 1,446,760 \| 3,786,991million \| 1:2,617,566 \| \| baidu \| 1,701,330 \| 4,370,982million \| 1:2,569,155 \|	1
\| Webgraph \| Positiveedges \| Negativeedges \| Classimbalance \| \| --- \| --- \| --- \| --- \| \| webND \| 133,279 \| 95,939million \| 1:719,835 \| \| webSB \| 756,937 \| 466,034million \| 1:615,684 \| \| webGL \| 494,982 \| 741,978million \| 1:1,498,999 \|	\| ﬂickr-growth \| 2.3M \| 33M \| 10 \| 779 \| 200 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| Twitter \| 41.6M \| 1.5G \| 10 \| 3011 \| 500 \|	0
\| Phase \| Train \| Validation \| Test \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Experiment \| Diag \| Nondiag \| Diag \| Nondiag \| Diag \| Nondiag \| \| Fold1 \| 4626 \| 4822 \| 1542 \| 1607 \| 2055 \| 2143 \|	\| Fold2 \| 4625 \| 4822 \| 1542 \| 1607 \| 2056 \| 2143 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Fold3 \| 4625 \| 4822 \| 1542 \| 1607 \| 2056 \| 2143 \| \| Fold4 \| 4625 \| 4822 \| 1542 \| 1607 \| 2056 \| 2143 \|	1
\| Phase \| Train \| Validation \| Test \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Experiment \| Diag \| Nondiag \| Diag \| Nondiag \| Diag \| Nondiag \| \| Fold1 \| 4626 \| 4822 \| 1542 \| 1607 \| 2055 \| 2143 \|	\| \| Train \| Validation \| Test \| \| --- \| --- \| --- \| --- \| \| PA \| 70,875 \| 10,078 \| 20,426 \| \| AP \| 168,525 \| 24,566 \| 47,689 \| \| Lateral \| 81,379 \| 11,519 \| 23,125 \| \| Total \| 320,779 \| 46,163 \| 91,240 \|	0
\| Phase \| Train \| Validation \| Test \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Experiment \| Diag \| Nondiag \| Diag \| Nondiag \| Diag \| Nondiag \| \| Fold1 \| 4626 \| 4822 \| 1542 \| 1607 \| 2055 \| 2143 \| \| Fold2 \| 4625 \| 4822 \| 1542 \| 1607 \| 2056 \| 2143 \|	\| Fold3 \| 4625 \| 4822 \| 1542 \| 1607 \| 2056 \| 2143 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Fold4 \| 4625 \| 4822 \| 1542 \| 1607 \| 2056 \| 2143 \|	1
\| Phase \| Train \| Validation \| Test \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Experiment \| Diag \| Nondiag \| Diag \| Nondiag \| Diag \| Nondiag \| \| Fold1 \| 4626 \| 4822 \| 1542 \| 1607 \| 2055 \| 2143 \| \| Fold2 \| 4625 \| 4822 \| 1542 \| 1607 \| 2056 \| 2143 \|	\| Lateral \| 81,379 \| 11,519 \| 23,125 \| \| --- \| --- \| --- \| --- \| \| Total \| 320,779 \| 46,163 \| 91,240 \|	0
\| BatchSize \| LRrulewarmupEpochstestaccuracy \| \| --- \| --- \| \| 512 \| regularN/A1000.583 \| \| 4096 \| LARS13epochs1000.584 \|	\| 8192 \| LARS8epochs1000.583 \| \| --- \| --- \| \| 32768 \| LARS5epochs1000.585 \|	1
\| BatchSize \| LRrulewarmupEpochstestaccuracy \| \| --- \| --- \| \| 512 \| regularN/A1000.583 \| \| 4096 \| LARS13epochs1000.584 \|	\| Model \| ρ×100 \| \| --- \| --- \| \| HLBL \| 33.2 \| \| C&W \| 55.3 \| \| Skip-gram-300d \| 70.4 \| \| Huangetal-G \| 22.8 \| \| Huangetal-M \| 64.2 \| \| MSSG50d-G \| 60.6 \| \| MSSG50d-M \| 63.2 \| \| MSSG300d-G \| 69.2 \| \| MSSG300d-M \| 70.9 \| \| NP-MSSG50d-G \| 61.5 \| \| NP-MSSG50d-M \| 62.4 \| \| NP-MSSG300d-G \| 69.1 \| \| NP-MSSG300d-M \| 68.6 \| \|...	0
\| BatchSize \| LRrulewarmupEpochstestaccuracy \| \| --- \| --- \| \| 512 \| regularN/A1000.583 \|	\| 4096 \| LARS13epochs1000.584 \| \| --- \| --- \| \| 8192 \| LARS8epochs1000.583 \| \| 32768 \| LARS5epochs1000.585 \|	1
\| BatchSize \| LRrulewarmupEpochstestaccuracy \| \| --- \| --- \| \| 512 \| regularN/A1000.583 \|	\| PrunedTF-IDF \| 73.4 \| \| --- \| --- \| \| ESA \| 75 \| \| TieredTF-IDF \| 76.9 \|	0
\| Method \| Precision \| Recall \| F-score \| \| --- \| --- \| --- \| --- \| \| HUSTMCLAB \| 47.5 \| 34.8 \| 40.2 \| \| NJUText \| 72.7 \| 35.8 \| 48.0 \| \| StradVision-2 \| 77.5 \| 36.7 \| 49.8 \|	\| MCLABFCN \| 70.8 \| 43.0 \| 53.6 \| \| --- \| --- \| --- \| --- \| \| CTPN \| 51.6 \| 74.2 \| 60.9 \| \| Megcii-Image++ \| 72.4 \| 57.0 \| 63.8 \| \| Yaoetal. \| 72.3 \| 58.7 \| 64.8 \| \| Seglink \| 73.1 \| 76.8 \| 75.0 \| \| ArbiText \| 79.2 \| 73.5 \| 75.9 \|	1
\| Method \| Precision \| Recall \| F-score \| \| --- \| --- \| --- \| --- \| \| HUSTMCLAB \| 47.5 \| 34.8 \| 40.2 \| \| NJUText \| 72.7 \| 35.8 \| 48.0 \| \| StradVision-2 \| 77.5 \| 36.7 \| 49.8 \|	\| Algorithm \| Precision \| Recall \| F-measure \| \| --- \| --- \| --- \| --- \| \| Proposed(R-NMS) \| 0.82 \| 0.80 \| 0.81 \| \| Proposed(T-NMS) \| 0.81 \| 0.80 \| 0.80 \| \| Liuetal. \| 0.73 \| 0.68 \| 0.71 \| \| Tianetal. \| 0.74 \| 0.52 \| 0.61 \| \| Zhangetal. \| 0.71 \| 0.43 \| 0.54 \| \| StradVision2 \| 0.77 \| 0.37 \| 0.50 \| \| StradVision1 \| 0.53 ...	0
\| Method \| Precision \| Recall \| F-score \| \| --- \| --- \| --- \| --- \| \| HUSTMCLAB \| 47.5 \| 34.8 \| 40.2 \| \| NJUText \| 72.7 \| 35.8 \| 48.0 \| \| StradVision-2 \| 77.5 \| 36.7 \| 49.8 \| \| MCLABFCN \| 70.8 \| 43.0 \| 53.6 \| \| CTPN \| 51.6 \| 74.2 \| 60.9 \|	\| Megcii-Image++ \| 72.4 \| 57.0 \| 63.8 \| \| --- \| --- \| --- \| --- \| \| Yaoetal. \| 72.3 \| 58.7 \| 64.8 \| \| Seglink \| 73.1 \| 76.8 \| 75.0 \| \| ArbiText \| 79.2 \| 73.5 \| 75.9 \|	1
\| Method \| Precision \| Recall \| F-score \| \| --- \| --- \| --- \| --- \| \| HUSTMCLAB \| 47.5 \| 34.8 \| 40.2 \| \| NJUText \| 72.7 \| 35.8 \| 48.0 \| \| StradVision-2 \| 77.5 \| 36.7 \| 49.8 \| \| MCLABFCN \| 70.8 \| 43.0 \| 53.6 \| \| CTPN \| 51.6 \| 74.2 \| 60.9 \|	\| Liuetal. \| 0.73 \| 0.68 \| 0.71 \| \| --- \| --- \| --- \| --- \| \| Tianetal. \| 0.74 \| 0.52 \| 0.61 \| \| Zhangetal. \| 0.71 \| 0.43 \| 0.54 \| \| StradVision2 \| 0.77 \| 0.37 \| 0.50 \| \| StradVision1 \| 0.53 \| 0.46 \| 0.50 \| \| NJU-Text \| 0.70 \| 0.36 \| 0.47 \| \| AJOU \| 0.47 \| 0.47 \| 0.47 \| \| HUSTMCLAB \| 0.44 \| 0.38 \| 0.41 \|	0
\| Mode \| Count \| α \| (cid:96)(km)0 \| (cid:96)(km) \| σ \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| I.AllModes \| 52973 \| 2.13 \| 29.40 \| 9.99 \| 1313.79 \| \| A.Walk \| 14303 \| 3.99 \| 6.37 \| 1.37 \| 3.77 \| \| B.Bicycle \| 5581 \| 2.72 \| 6.37 \| 3.47 \| 30.06 \|	\| C.Auto.Driver \| 18484 \| 2.29 \| 39.90 \| 13.06 \| 1331.84 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| D.PublicTrans. \| 6944 \| 1.97 \| 27.98 \| 16.34 \| 2875.92 \| \| Auto.Passenger \| 7658 \| 2.00 \| 24.32 \| 17.69 \| 2949.11 \|	1
\| Mode \| Count \| α \| (cid:96)(km)0 \| (cid:96)(km) \| σ \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| I.AllModes \| 52973 \| 2.13 \| 29.40 \| 9.99 \| 1313.79 \| \| A.Walk \| 14303 \| 3.99 \| 6.37 \| 1.37 \| 3.77 \| \| B.Bicycle \| 5581 \| 2.72 \| 6.37 \| 3.47 \| 30.06 \|	\| Measure \| WHdebarking \| WHboarding \| SGdebarking \| SGboarding \| \| --- \| --- \| --- \| --- \| --- \| \| Passengers \| 850 \| 1400 \| 1400 \| 400 \| \| Min \| 54s \| 77s \| 33s \| 56s \| \| Max(=total) \| 232s(266s) \| 375s(364s) \| 400s(262s) \| 119s(83s) \| \| Avg \| 149s \| 204s \| 214s \| 83s \| \| Var \| 2,331 \| 6,737 \| 10,723 \| 293 \| \| SD \| 4...	0
\| Mode \| Count \| α \| (cid:96)(km)0 \| (cid:96)(km) \| σ \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| I.AllModes \| 52973 \| 2.13 \| 29.40 \| 9.99 \| 1313.79 \| \| A.Walk \| 14303 \| 3.99 \| 6.37 \| 1.37 \| 3.77 \|	\| B.Bicycle \| 5581 \| 2.72 \| 6.37 \| 3.47 \| 30.06 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| C.Auto.Driver \| 18484 \| 2.29 \| 39.90 \| 13.06 \| 1331.84 \| \| D.PublicTrans. \| 6944 \| 1.97 \| 27.98 \| 16.34 \| 2875.92 \| \| Auto.Passenger \| 7658 \| 2.00 \| 24.32 \| 17.69 \| 2949.11 \|	1
\| Mode \| Count \| α \| (cid:96)(km)0 \| (cid:96)(km) \| σ \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| I.AllModes \| 52973 \| 2.13 \| 29.40 \| 9.99 \| 1313.79 \| \| A.Walk \| 14303 \| 3.99 \| 6.37 \| 1.37 \| 3.77 \|	\| Var \| 2,331 \| 6,737 \| 10,723 \| 293 \| \| --- \| --- \| --- \| --- \| --- \| \| SD \| 48 \| 82 \| 104 \| 17 \| \| 75thperc. \| 191s \| 274s \| 302s \| 97s \| \| 95thperc. \| 222s \| 332s \| 378s \| 110s \|	0
\| Dataset \| LocalCovariances \| CrossCovariances \| \| \| --- \| --- \| --- \| --- \| \| S:Fact0 \| SS:343900 \| SS:150004 \| SS:314203 \|	\| S:Fou1 \| SS:70811 \| SS:79614 \| SS:187710 \| \| --- \| --- \| --- \| --- \| \| S:Kar2 \| SS:68422 \| SS:89621 \| SS:130120 \| \| S:Mor-Pix3 \| SS:418633 \| SS:144532 \| SS:208131 \| \| S:Zer4 \| SS:52844 \| SS:154343 \| SS:74942 \|	1
\| Dataset \| LocalCovariances \| CrossCovariances \| \| \| --- \| --- \| --- \| --- \| \| S:Fact0 \| SS:343900 \| SS:150004 \| SS:314203 \|	\| Dataset \| Site1 \| Site2 \| Site3 \| Site4 \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Accuracy \| Time \| Accuracy \| Time \| Accuracy \| Time \| Accuracy \| Time \| \| \| Mfeat-Fac \| 100 \| 0.1365 \| 100 \| 0.256 \| 100 \| 0.143 \| - \| - \| \| Pendigits \| 100 \| 0.062 \| 99.53 \| 0.110 \| 100 \| 0.049 \| 100 \| 1....	0
\| Dataset \| LocalCovariances \| CrossCovariances \| \| \| --- \| --- \| --- \| --- \| \| S:Fact0 \| SS:343900 \| SS:150004 \| SS:314203 \| \| S:Fou1 \| SS:70811 \| SS:79614 \| SS:187710 \|	\| S:Kar2 \| SS:68422 \| SS:89621 \| SS:130120 \| \| --- \| --- \| --- \| --- \| \| S:Mor-Pix3 \| SS:418633 \| SS:144532 \| SS:208131 \| \| S:Zer4 \| SS:52844 \| SS:154343 \| SS:74942 \|	1
\| Dataset \| LocalCovariances \| CrossCovariances \| \| \| --- \| --- \| --- \| --- \| \| S:Fact0 \| SS:343900 \| SS:150004 \| SS:314203 \| \| S:Fou1 \| SS:70811 \| SS:79614 \| SS:187710 \|	\| Pendigits \| 100 \| 0.062 \| 99.53 \| 0.110 \| 100 \| 0.049 \| 100 \| 1.0132 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| SDSS \| 100 \| 49.996 \| 89.09 \| 115.76 \| 89.13 \| 369.93 \| 89.76 \| 1728.097 \|	0
\| Category \| rs \| p \| \| --- \| --- \| --- \| \| Style \| 0.6115095 \| 2.2e-16 \| \| Design \| 0.51948 \| 2.2e-16 \|	\| Fun \| 0.2729658 \| 3.745e-5 \| \| --- \| --- \| --- \| \| Frustration \| -0.4393904 \| 6.79e-12 \| \| Challenge \| -0.387222 \| 2.351e-09 \| \| Creativity \| -0.1559725 \| 0.02007 \|	1
\| Category \| rs \| p \| \| --- \| --- \| --- \| \| Style \| 0.6115095 \| 2.2e-16 \| \| Design \| 0.51948 \| 2.2e-16 \|	\| Category \| #of<br>Concepts \| AvgAUC \| Avgratioof<br>positives \| \| --- \| --- \| --- \| --- \| \| Sports \| 64 \| 0.972 \| 1.93×10 \| \| Animals \| 108 \| 0.982 \| 3.14×10 \| \| Clothes \| 88 \| 0.882 \| 1.71×10 \| \| Food \| 107 \| 0.979 \| 2.56×10 \| \| Furniture \| 38 \| 0.942 \| 5.52×10 \| \| Music \| 16 \| 0.983 \| 1.30×10 \| \| Plants \| 33 \| 0.95...	0
\| Category \| rs \| p \| \| --- \| --- \| --- \| \| Style \| 0.6115095 \| 2.2e-16 \| \| Design \| 0.51948 \| 2.2e-16 \|	\| Fun \| 0.2729658 \| 3.745e-5 \| \| --- \| --- \| --- \| \| Frustration \| -0.4393904 \| 6.79e-12 \| \| Challenge \| -0.387222 \| 2.351e-09 \| \| Creativity \| -0.1559725 \| 0.02007 \|	1
\| Category \| rs \| p \| \| --- \| --- \| --- \| \| Style \| 0.6115095 \| 2.2e-16 \| \| Design \| 0.51948 \| 2.2e-16 \|	\| Clothes \| 88 \| 0.882 \| 1.71×10 \| \| --- \| --- \| --- \| --- \| \| Food \| 107 \| 0.979 \| 2.56×10 \| \| Furniture \| 38 \| 0.942 \| 5.52×10 \| \| Music \| 16 \| 0.983 \| 1.30×10 \| \| Plants \| 33 \| 0.954 \| 2.36×10 \| \| Structures \| 17 \| 0.973 \| 8.33×10 \| \| Places \| 73 \| 1.000 \| 6.03×10 \| \| Scenes \| 113 \| 0.923 \| 1.41×10 \| \| Vehicles \| 53...	0
\| Metric \| Value \| \| --- \| --- \| \| MeanAverageError(MAE) \| 0.9108 \|	\| CorrelationCoeﬃcient \| 0.3051 \| \| --- \| --- \| \| AverageBinaryAccuracy \| 0.6094 \| \| AverageWeightedBinaryAccuracy \| 0.6108 \| \| AverageF1Score \| 0.6325 \| \| Average5-ClassAccuracy \| 0.3320 \| \| Average7-ClassAccuracy \| 0.3296 \|	1
\| Metric \| Value \| \| --- \| --- \| \| MeanAverageError(MAE) \| 0.9108 \|	\| OverallScore \| Uniformweights \| ActualWeights \| LinearRegression \| HuberRegression \| OrdinaryLS \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| Final(Normalized) \| 7.2368 \| 6.1644 \| 0.5690 \| 0.5280 \| 0.6804 \| \| Midterm(Normalized) \| 2.9898 \| 3.2856 \| 0.3802 \| 0.3967 \| 0.3161 \| \| Final(Actual) \| 8.0209 \| 6.3726 \| 0.6013 \| 0...	0
\| Metric \| Value \| \| --- \| --- \| \| MeanAverageError(MAE) \| 0.9108 \| \| CorrelationCoeﬃcient \| 0.3051 \| \| AverageBinaryAccuracy \| 0.6094 \|	\| AverageWeightedBinaryAccuracy \| 0.6108 \| \| --- \| --- \| \| AverageF1Score \| 0.6325 \| \| Average5-ClassAccuracy \| 0.3320 \| \| Average7-ClassAccuracy \| 0.3296 \|	1
\| Metric \| Value \| \| --- \| --- \| \| MeanAverageError(MAE) \| 0.9108 \| \| CorrelationCoeﬃcient \| 0.3051 \| \| AverageBinaryAccuracy \| 0.6094 \|	\| Final(Actual) \| 8.0209 \| 6.3726 \| 0.6013 \| 0.7234 \| 0.7190 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| Midterm(Actual) \| 17.5650 \| 17.51134 \| 0.5218 \| 0.5094 \| 0.4338 \|	0
\| \| Buy \| AAExist \| AANew \| \| --- \| --- \| --- \| --- \| \| SessionEntries \| 147.02 \| 14.13 \| 80.33 \| \| Observations \| 5.64 \| 2.06 \| 3.33 \| \| CRADLEExplanations \| 8.74 \| 1.00 \| 1.33 \| \| PHATTExplanations \| 18.32 \| 1.00 \| 2.00 \|	\| CRADLETime(seconds) \| 0.06 \| 0.01 \| 0.01 \| \| --- \| --- \| --- \| --- \| \| PHATTTime(seconds) \| 0.07 \| 0.01 \| 0.03 \|	1
\| \| Buy \| AAExist \| AANew \| \| --- \| --- \| --- \| --- \| \| SessionEntries \| 147.02 \| 14.13 \| 80.33 \| \| Observations \| 5.64 \| 2.06 \| 3.33 \| \| CRADLEExplanations \| 8.74 \| 1.00 \| 1.33 \| \| PHATTExplanations \| 18.32 \| 1.00 \| 2.00 \|	\| Model \| Realpurchases \| Predictedpurchases \| \| --- \| --- \| --- \| \| with12-hourobservationbaseline1 \| 129 \| 32 \| \| with12-hourobservationbaseline2 \| 129 \| 245 \| \| with12-hourobservationSP \| 129 \| 110 \| \| Model \| Realpurchases \| Predictedpurchases \| \| with12-hourobservationbaseline1 \| 75 \| 28 \| \| with12-hourobservation...	0
\| \| Buy \| AAExist \| AANew \| \| --- \| --- \| --- \| --- \| \| SessionEntries \| 147.02 \| 14.13 \| 80.33 \| \| Observations \| 5.64 \| 2.06 \| 3.33 \|	\| CRADLEExplanations \| 8.74 \| 1.00 \| 1.33 \| \| --- \| --- \| --- \| --- \| \| PHATTExplanations \| 18.32 \| 1.00 \| 2.00 \| \| CRADLETime(seconds) \| 0.06 \| 0.01 \| 0.01 \| \| PHATTTime(seconds) \| 0.07 \| 0.01 \| 0.03 \|	1
\| \| Buy \| AAExist \| AANew \| \| --- \| --- \| --- \| --- \| \| SessionEntries \| 147.02 \| 14.13 \| 80.33 \| \| Observations \| 5.64 \| 2.06 \| 3.33 \|	\| with12-hourobservationSP \| 129 \| 110 \| \| --- \| --- \| --- \| \| Model \| Realpurchases \| Predictedpurchases \| \| with12-hourobservationbaseline1 \| 75 \| 28 \| \| with12-hourobservationbaseline2 \| 75 \| 147 \| \| with12-hourobservationSP \| 75 \| 110 \|	0
\| Non-EnglishorMath \| Frequency \| Comments \| \| --- \| --- \| --- \| \| Ø \| 1in1,000 \| ForSwedishnames \| \| π \| 1in5 \| Commoninmath \|	\| $ \| 4in5 \| Usedinbusiness \| \| --- \| --- \| --- \| \| Ψ \| 1in40,000 \| Unexplainedusage \|	1
\| Non-EnglishorMath \| Frequency \| Comments \| \| --- \| --- \| --- \| \| Ø \| 1in1,000 \| ForSwedishnames \| \| π \| 1in5 \| Commoninmath \|	\| Non-EnglishorMath \| Frequency \| Comments \| \| --- \| --- \| --- \| \| Ø \| 1in1,000 \| ForSwedishnames \| \| π \| 1in5 \| Commoninmath \| \| $ \| 4in5 \| Usedinbusiness \| \| Ψ \| 1in40,000 \| Unexplainedusage \|	0
\| Non-EnglishorMath \| Frequency \| Comments \| \| --- \| --- \| --- \| \| Ø \| 1in1,000 \| ForSwedishnames \| \| π \| 1in5 \| Commoninmath \|	\| $ \| 4in5 \| Usedinbusiness \| \| --- \| --- \| --- \| \| Ψ \| 1in40,000 \| Unexplainedusage \|	1
\| Non-EnglishorMath \| Frequency \| Comments \| \| --- \| --- \| --- \| \| Ø \| 1in1,000 \| ForSwedishnames \| \| π \| 1in5 \| Commoninmath \|	\| π \| 1in5 \| Commoninmath \| \| --- \| --- \| --- \| \| $ \| 4in5 \| Usedinbusiness \| \| Ψ \| 1in40,000 \| Unexplainedusage \|	0
\| \| \| AAAcc. \| WHAcc. \| Diﬀ. \| \| --- \| --- \| --- \| --- \| --- \| \| langid.py \| t≤5<br>5<t≤10<br>10<t≤15<br>t>15 \| 68.0<br>84.6<br>93.0<br>96.2 \| 70.8<br>91.6<br>98.0<br>99.8 \| 2.8<br>7.0<br>5.0<br>3.6 \|	\| IBMWatson \| t≤5<br>5<t≤10<br>10<t≤15<br>t>15 \| 62.8<br>91.9<br>96.4<br>98.0 \| 77.9<br>95.7<br>99.0<br>99.6 \| 15.1<br>3.8<br>2.6<br>1.6 \| \| --- \| --- \| --- \| --- \| --- \| \| MicrosoftAzure \| t≤5<br>5<t≤10<br>10<t≤15<br>t>15 \| 87.6<br>98.5<br>99.6<br>99.5 \| 94.2<br>99.6<br>99.9<br>99.9 \| 6.6<br>1.1<br>0.3<br>0.4 \| \| Twit...	1
\| \| \| AAAcc. \| WHAcc. \| Diﬀ. \| \| --- \| --- \| --- \| --- \| --- \| \| langid.py \| t≤5<br>5<t≤10<br>10<t≤15<br>t>15 \| 68.0<br>84.6<br>93.0<br>96.2 \| 70.8<br>91.6<br>98.0<br>99.8 \| 2.8<br>7.0<br>5.0<br>3.6 \|	\| Index \| σ0<br>Hp-valueCI2 \| Index \| \| --- \| --- \| --- \| \| WT1<br>WT2<br>WT3<br>WT4 \| 1<0.01[0,0.727]0.667<br>1<0.01[0,0.419]0.384<br>1<0.01[0,0.424]0.389<br>1<0.01[0,0.237]0.217 \| WT5<br>WT6<br>A1<br>A2 \| \| WT1<br>WT2<br>WT3<br>WT4 \| 1<0.01[0,0.696]0.638<br>1<0.01[0,0.860]0.788<br>1<0.01[0,0.804]0.731<br>1<0.01[0,0.8...	0
\| \| \| AAAcc. \| WHAcc. \| Diﬀ. \| \| --- \| --- \| --- \| --- \| --- \| \| langid.py \| t≤5<br>5<t≤10<br>10<t≤15<br>t>15 \| 68.0<br>84.6<br>93.0<br>96.2 \| 70.8<br>91.6<br>98.0<br>99.8 \| 2.8<br>7.0<br>5.0<br>3.6 \| \| IBMWatson \| t≤5<br>5<t≤10<br>10<t≤15<br>t>15 \| 62.8<br>91.9<br>96.4<br>98.0 \| 77.9<br>95.7<br>99.0<br>99.6 \| 15.1<b...	\| MicrosoftAzure \| t≤5<br>5<t≤10<br>10<t≤15<br>t>15 \| 87.6<br>98.5<br>99.6<br>99.5 \| 94.2<br>99.6<br>99.9<br>99.9 \| 6.6<br>1.1<br>0.3<br>0.4 \| \| --- \| --- \| --- \| --- \| --- \| \| Twitter \| t≤5<br>5<t≤10<br>10<t≤15<br>t>15 \| 54.0<br>87.5<br>95.7<br>98.5 \| 73.7<br>91.5<br>96.0<br>95.1 \| 19.7<br>4.0<br>0.3<br>-3.0 \|	1
\| \| \| AAAcc. \| WHAcc. \| Diﬀ. \| \| --- \| --- \| --- \| --- \| --- \| \| langid.py \| t≤5<br>5<t≤10<br>10<t≤15<br>t>15 \| 68.0<br>84.6<br>93.0<br>96.2 \| 70.8<br>91.6<br>98.0<br>99.8 \| 2.8<br>7.0<br>5.0<br>3.6 \| \| IBMWatson \| t≤5<br>5<t≤10<br>10<t≤15<br>t>15 \| 62.8<br>91.9<br>96.4<br>98.0 \| 77.9<br>95.7<br>99.0<br>99.6 \| 15.1<b...	\| WT1<br>WT2<br>WT3<br>WT4 \| 1<0.01[0,0.542]0.497<br>1<0.01[0,0.835]0.765<br>1<0.01[0,0.810]0.741<br>1<0.01[0,0.724]0.664 \| WT5<br>WT6<br>A1<br>A2 \| \| --- \| --- \| --- \| \| WT1<br>WT2<br>WT3<br>WT4 \| 1<0.01[0,0.729]0.630<br>1<0.01[0,0.929]0.802<br>1<0.01[0,0.916]0.791<br>1<0.01[0,0.933]0.833 \| WT5<br>WT6<br>A1<br>A2 \|	0
\| Parameter \| Userquin-tile \| \| \| \| --- \| --- \| --- \| --- \| \| \| Q1 \| Q2 \| Q3 \| \| α \| 0.634 \| 1.0145 \| 0.448 \| \| β \| 0.865 \| 0.0 \| 1.141 \| \| θ \| 0.129 \| -0.730 \| -0.020 \|	\| w1 \| 0.00215 \| 0.0 \| 0.00006 \| \| --- \| --- \| --- \| --- \| \| w2 \| 0.00038 \| 0.00030 \| 0.0 \| \| w3 \| 0.00836 \| -0.00135 \| -300.0 \| \| C \| 8546 \| 754 \| -9 \| \| RMSE \| 52800 \| 406 \| 334 \|	1
\| Parameter \| Userquin-tile \| \| \| \| --- \| --- \| --- \| --- \| \| \| Q1 \| Q2 \| Q3 \| \| α \| 0.634 \| 1.0145 \| 0.448 \| \| β \| 0.865 \| 0.0 \| 1.141 \| \| θ \| 0.129 \| -0.730 \| -0.020 \|	\| \\|Ω\\|<br>mnN \| AR-BC-ADMM \| P-BC-ADMM \| TFOCS \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| \| \| \| \| \| \| \| \| \| 0.01 \| 215 \| 217.98 \| 266 \| 271.72 \| 400 \| 334.08 \| 543 \| \| 0.02 \| 180 \| 180.96 \| 210 \| 217.24 \| 400 \| 338.10 \| 344 \| \| 0.03 \| 165 \| 170.66 \| 192 \| 197.58 \| 400 \| 336.50 \| 307 \| \| ...	0
\| Parameter \| Userquin-tile \| \| \| \| --- \| --- \| --- \| --- \| \| \| Q1 \| Q2 \| Q3 \| \| α \| 0.634 \| 1.0145 \| 0.448 \| \| β \| 0.865 \| 0.0 \| 1.141 \|	\| θ \| 0.129 \| -0.730 \| -0.020 \| \| --- \| --- \| --- \| --- \| \| w1 \| 0.00215 \| 0.0 \| 0.00006 \| \| w2 \| 0.00038 \| 0.00030 \| 0.0 \| \| w3 \| 0.00836 \| -0.00135 \| -300.0 \| \| C \| 8546 \| 754 \| -9 \| \| RMSE \| 52800 \| 406 \| 334 \|	1
\| Parameter \| Userquin-tile \| \| \| \| --- \| --- \| --- \| --- \| \| \| Q1 \| Q2 \| Q3 \| \| α \| 0.634 \| 1.0145 \| 0.448 \| \| β \| 0.865 \| 0.0 \| 1.141 \|	\| 0.05 \| 146 \| 152.56 \| 171 \| 175.42 \| 400 \| 338.13 \| 268 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| 0.10 \| 127 \| 134.35 \| 144 \| 148.66 \| 400 \| 339.83 \| 226 \| \| 0.15 \| 118 \| 124.43 \| 129 \| 133.76 \| 400 \| 341.33 \| 211 \| \| 0.25 \| 108 \| 111.98 \| 114 \| 116.32 \| 400 \| 351.30 \| 188 \|	0
\| Type \| \\|V\\| \| \| --- \| --- \| \| Directed \| 18,268,992 \|	\| Undirected \| 59,216,214 \| \| --- \| --- \| \| Weighted \| 23,947,347 \| \| Chain \| 10,000,000 \|	1
\| Type \| \\|V\\| \| \| --- \| --- \| \| Directed \| 18,268,992 \|	\| Dim. \| ArenaSize \| Obstacles \| OMPLRRT \| BoundedMotionPlan \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Time(s) \| Nodes \| NodesinPath \| Time(s) \| Bound \| \| \| \| \| 2 \| 600×600 \| 2 \| 1.8 \| 9500 \| 60 \| 1.3 \| 4 \| \| 2 \| 6000×6000 \| 3 \| 23.5 \| 11256 \| 78 \| 45.23 \| 5 \| \| 3 \| 600×600 \| 2 \| 132.6 \| 90408 \|...	0
\| Type \| \\|V\\| \| \| --- \| --- \| \| Directed \| 18,268,992 \|	\| Undirected \| 59,216,214 \| \| --- \| --- \| \| Weighted \| 23,947,347 \| \| Chain \| 10,000,000 \|	1
\| Type \| \\|V\\| \| \| --- \| --- \| \| Directed \| 18,268,992 \|	\| 2 \| 6000×6000 \| 3 \| 23.5 \| 11256 \| 78 \| 45.23 \| 5 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| 3 \| 600×600 \| 2 \| 132.6 \| 90408 \| 71 \| 120.3 \| 5 \| \| 3 \| 6000×6000 \| 3 \| 1002.6 \| 183412 \| 93 \| 953.4 \| 5 \|	0
\| 1(1-max) \| 5 \| 10 \| 15 \| \| --- \| --- \| --- \| --- \| \| 81.25(81.00,81.47) \| 80.83(80.69,80.91) \| 80.05(79.69,80.41) \| 80.11(79.89,80.36) \| \| 47.24(46.90,47.65) \| 46.63(46.31,47.12) \| 46.04(45.27,46.61) \| 45.91(45.16,46.49) \| \| 85.53(85.26,85.80) \| 84.61(84.47,84.90) \| 84.09(83.94,84.22) \| 84.02(83.57,84.28) \| \| 93.18(9...	\| 83.81(83.44,84.37) \| 82.70(82.14,83.11) \| 82.46(82.17,82.76) \| 82.26(81.86,82.90) \| \| --- \| --- \| --- \| --- \| \| 89.39(89.14,89.58) \| 89.36(89.17,89.57) \| 89.14(89.00,89.45) \| 89.31(89.18,89.48) \| \| 64.77(64.38,65.20) \| 64.54(64.0365.02) \| 63.87(63.5864.37) \| 63.44(63.0363.76) \| \| 67.33(66.80,67.82) \| 66.81(66.2467.25...	1
\| 1(1-max) \| 5 \| 10 \| 15 \| \| --- \| --- \| --- \| --- \| \| 81.25(81.00,81.47) \| 80.83(80.69,80.91) \| 80.05(79.69,80.41) \| 80.11(79.89,80.36) \| \| 47.24(46.90,47.65) \| 46.63(46.31,47.12) \| 46.04(45.27,46.61) \| 45.91(45.16,46.49) \| \| 85.53(85.26,85.80) \| 84.61(84.47,84.90) \| 84.09(83.94,84.22) \| 84.02(83.57,84.28) \| \| 93.18(9...	\| 81.25(81.00,81.47) \| 80.83(80.69,80.91) \| 80.05(79.69,80.41) \| 80.11(79.89,80.36) \| \| --- \| --- \| --- \| --- \| \| 47.24(46.90,47.65) \| 46.63(46.31,47.12) \| 46.04(45.27,46.61) \| 45.91(45.16,46.49) \| \| 85.53(85.26,85.80) \| 84.61(84.47,84.90) \| 84.09(83.94,84.22) \| 84.02(83.57,84.28) \| \| 93.18(93.09,93.31) \| 92.49(92.33,9...	0
\| 1(1-max) \| 5 \| 10 \| 15 \| \| --- \| --- \| --- \| --- \| \| 81.25(81.00,81.47) \| 80.83(80.69,80.91) \| 80.05(79.69,80.41) \| 80.11(79.89,80.36) \| \| 47.24(46.90,47.65) \| 46.63(46.31,47.12) \| 46.04(45.27,46.61) \| 45.91(45.16,46.49) \| \| 85.53(85.26,85.80) \| 84.61(84.47,84.90) \| 84.09(83.94,84.22) \| 84.02(83.57,84.28) \| \| 93.18(9...	\| 91.53(91.26,91.78) \| 89.93(89.75,90.09) \| 89.73(89.61,89.83) \| 89.49(89.31,89.65) \| \| --- \| --- \| --- \| --- \| \| 83.81(83.44,84.37) \| 82.70(82.14,83.11) \| 82.46(82.17,82.76) \| 82.26(81.86,82.90) \| \| 89.39(89.14,89.58) \| 89.36(89.17,89.57) \| 89.14(89.00,89.45) \| 89.31(89.18,89.48) \| \| 64.77(64.38,65.20) \| 64.54(64.0365...	1
\| 1(1-max) \| 5 \| 10 \| 15 \| \| --- \| --- \| --- \| --- \| \| 81.25(81.00,81.47) \| 80.83(80.69,80.91) \| 80.05(79.69,80.41) \| 80.11(79.89,80.36) \| \| 47.24(46.90,47.65) \| 46.63(46.31,47.12) \| 46.04(45.27,46.61) \| 45.91(45.16,46.49) \| \| 85.53(85.26,85.80) \| 84.61(84.47,84.90) \| 84.09(83.94,84.22) \| 84.02(83.57,84.28) \| \| 93.18(9...	\| 93.18(93.09,93.31) \| 92.49(92.33,92.61) \| 92.66(92.50,92.79) \| 92.52(92.33,92.96) \| \| --- \| --- \| --- \| --- \| \| 91.53(91.26,91.78) \| 89.93(89.75,90.09) \| 89.73(89.61,89.83) \| 89.49(89.31,89.65) \| \| 83.81(83.44,84.37) \| 82.70(82.14,83.11) \| 82.46(82.17,82.76) \| 82.26(81.86,82.90) \| \| 89.39(89.14,89.58) \| 89.36(89.17,8...	0
\| Phase1 \| Coordinates \| Error1 \| HMM \| 71,3 \| \| --- \| --- \| --- \| --- \| --- \| \| DTW \| 40,6 \| \| \| \| \| Error2 \| HMM \| 70,1 \| \| \| \| DTW \| 28,9 \| \| \| \| \| Angles \| Error1 \| HMM \| 78,1 \| \|	\| DTW \| 13,1 \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| \| Error2 \| HMM \| 64,7 \| \| \| \| DTW \| 10,4 \| \| \| \| \| Phase2 \| Coordinates \| Error1 \| HMM \| 65,5 \| \| DTW \| 35,0 \| \| \| \| \| Error2 \| HMM \| 62,0 \| \| \| \| DTW \| 26,0 \| \| \| \| \| Angles \| Error1 \| HMM \| 81,3 \| \| \| DTW \| 13,0 \| \| \| \| \| Error2 \| HMM \| 64,7 \| ...	1
\| Phase1 \| Coordinates \| Error1 \| HMM \| 71,3 \| \| --- \| --- \| --- \| --- \| --- \| \| DTW \| 40,6 \| \| \| \| \| Error2 \| HMM \| 70,1 \| \| \| \| DTW \| 28,9 \| \| \| \| \| Angles \| Error1 \| HMM \| 78,1 \| \|	\| Resolution \| lrel.error(SL)2 \| lrel.error(FFSL)2 \| \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| N \| M \| C \| µ \| I1 \| I3 \| R0 \| R2 \| \| 200 \| 50 \| 1.2 \| 0.8 \| 1.21·10 \| 3.77·10 \| 2.67·10 \| 6.46·10 \| \| 200 \| 100 \| 0.6 \| 0.4 \| 3.38·10 \| 2.91·10 \| 4.83·10 \| 1.89·10 \| \| 200 \| 200 \| 0.3 \| 0.2 \| 4.15·10...	0
\| Phase1 \| Coordinates \| Error1 \| HMM \| 71,3 \| \| --- \| --- \| --- \| --- \| --- \| \| DTW \| 40,6 \| \| \| \| \| Error2 \| HMM \| 70,1 \| \| \| \| DTW \| 28,9 \| \| \| \| \| Angles \| Error1 \| HMM \| 78,1 \| \| \| DTW \| 13,1 \| \| \| \| \| Error2 \| HMM \| 64,7 \| \| \| \| DTW \| 10,4 \| \| \| \| \| Phase2 \| Coordinates \| Error1 \| HMM \| 65,5 \| \| ...	\| DTW \| 26,0 \| \| \| \| --- \| --- \| --- \| --- \| \| Angles \| Error1 \| HMM \| 81,3 \| \| DTW \| 13,0 \| \| \| \| Error2 \| HMM \| 64,7 \| \| \| DTW \| 47,9 \| \| \|	1
\| Phase1 \| Coordinates \| Error1 \| HMM \| 71,3 \| \| --- \| --- \| --- \| --- \| --- \| \| DTW \| 40,6 \| \| \| \| \| Error2 \| HMM \| 70,1 \| \| \| \| DTW \| 28,9 \| \| \| \| \| Angles \| Error1 \| HMM \| 78,1 \| \| \| DTW \| 13,1 \| \| \| \| \| Error2 \| HMM \| 64,7 \| \| \| \| DTW \| 10,4 \| \| \| \| \| Phase2 \| Coordinates \| Error1 \| HMM \| 65,5 \| \| ...	\| 200 \| 200 \| 0.3 \| 0.2 \| 4.15·10 \| 1.57·10 \| 1.11·10 \| 2.67·10 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| 400 \| 100 \| 1.2 \| 1.6 \| 5.02·10 \| 1.84·10 \| 1.25·10 \| 2.14·10 \| \| 400 \| 200 \| 0.6 \| 0.8 \| 1.30·10 \| 1.16·10 \| 3.21·10 \| 4.79·10 \| \| 400 \| 400 \| 0.3 \| 0.4 \| 2.95·10 \| 4.27·10 \| 4.41·10 \| 6.67·10 \|	0
\| rank-1 \| rank-5 \| rank-10 \| \| --- \| --- \| --- \| \| 21.14<br>15.47<br>19.87<br>17.01<br>21.74 \| 40.34<br>34.53<br>38.89<br>33.67<br>- \| 53.29<br>43.99<br>49.37<br>46.84<br>- \|	\| 27.44 \| 43.01 \| 50.82 \| \| --- \| --- \| --- \| \| 40.00<br>40.73<br>40.22<br>42.28<br>35.8<br>53.54<br>42.97<br>34.87<br>42.4<br>37.8 \| 67.40<br>-<br>68.16<br>71.46<br>67.4<br>82.59<br>75.82<br>66.68<br>68.7<br>66.9 \| 80.51<br>82.34<br>80.70<br>82.94<br>83.5<br>91.49<br>87.28<br>79.30<br>79.4<br>77.4 \| \| 43.29<br>54.49 \|...	1
\| rank-1 \| rank-5 \| rank-10 \| \| --- \| --- \| --- \| \| 21.14<br>15.47<br>19.87<br>17.01<br>21.74 \| 40.34<br>34.53<br>38.89<br>33.67<br>- \| 53.29<br>43.99<br>49.37<br>46.84<br>- \|	\| rank-1 \| rank-5 \| rank-10 \| \| --- \| --- \| --- \| \| 11.7<br>19.9<br>24.3<br>46.3<br>52.2<br>54.7 \| 33.3<br>49.3<br>-<br>78.9<br>84.3<br>80.1 \| 48.0<br>64.7<br>-<br>88.6<br>94.8<br>88.3 \| \| 35.8<br>59.8 \| 65.3<br>88.3 \| 77.96<br>94.2 \| \| 49.1<br>71.8 \| 78.4<br>93.0 \| 87.2<br>97.1 \| \| 71.5<br>83.4 \| 91.5<br>97.1 \| 95.9<b...	0
\| rank-1 \| rank-5 \| rank-10 \| \| --- \| --- \| --- \| \| 21.14<br>15.47<br>19.87<br>17.01<br>21.74 \| 40.34<br>34.53<br>38.89<br>33.67<br>- \| 53.29<br>43.99<br>49.37<br>46.84<br>- \|	\| 27.44 \| 43.01 \| 50.82 \| \| --- \| --- \| --- \| \| 40.00<br>40.73<br>40.22<br>42.28<br>35.8<br>53.54<br>42.97<br>34.87<br>42.4<br>37.8 \| 67.40<br>-<br>68.16<br>71.46<br>67.4<br>82.59<br>75.82<br>66.68<br>68.7<br>66.9 \| 80.51<br>82.34<br>80.70<br>82.94<br>83.5<br>91.49<br>87.28<br>79.30<br>79.4<br>77.4 \| \| 43.29<br>54.49 \|...	1
\| rank-1 \| rank-5 \| rank-10 \| \| --- \| --- \| --- \| \| 21.14<br>15.47<br>19.87<br>17.01<br>21.74 \| 40.34<br>34.53<br>38.89<br>33.67<br>- \| 53.29<br>43.99<br>49.37<br>46.84<br>- \|	\| 49.1<br>71.8 \| 78.4<br>93.0 \| 87.2<br>97.1 \| \| --- \| --- \| --- \| \| 71.5<br>83.4 \| 91.5<br>97.1 \| 95.9<br>98.7 \|	0
\| K \| dc \| (d+1)/Kc \| d/Kc \| α(from)d \| \| --- \| --- \| --- \| --- \| --- \| \| 2 \| 2 \| 1.5 \| 1 \| 1 \| \| 3 \| 11.5 \| 4.166 \| 3.83 \| 3.927 \| \| 4 \| 32.6 \| 8.4 \| 8.15 \| 8.297 \| \| 5 \| 80 \| 16.2 \| 16.00 \| 16.12 \|	\| 6 \| 182 \| 30.5 \| 30.33 \| 30.5 \| \| --- \| --- \| --- \| --- \| --- \| \| 7 \| 400 \| 57.28 \| 57.14 \| 57.22 \| \| 8 \| 856 \| 107.13 \| 107.00 \| 107.24 \|	1
\| K \| dc \| (d+1)/Kc \| d/Kc \| α(from)d \| \| --- \| --- \| --- \| --- \| --- \| \| 2 \| 2 \| 1.5 \| 1 \| 1 \| \| 3 \| 11.5 \| 4.166 \| 3.83 \| 3.927 \| \| 4 \| 32.6 \| 8.4 \| 8.15 \| 8.297 \| \| 5 \| 80 \| 16.2 \| 16.00 \| 16.12 \|	\| K \| αd \| αf \| αs \| αo \| αM \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 2 \| 1.5 \| − \| 1.5 \| − \| 2.8 \| \| 3 \| 4.16 \| − \| 4.55 \| − \| 5.83 \| \| 4 \| 8.4 \| − \| 10.15 \| − \| 11.56 \| \| 5 \| 16.2 \| 20.3 \| 21.26 \| 20.7 \| 22.8 \| \| 6 \| 30.5 \| 38.5 \| 43.41 \| 42.95 \| 45 \| \| 7 \| 57.28 \| 72.1 \| 87.84 \| 87.35 \| 89.42 \| \| 8 \| 107.13 \| 134.2...	0
\| K \| dc \| (d+1)/Kc \| d/Kc \| α(from)d \| \| --- \| --- \| --- \| --- \| --- \| \| 2 \| 2 \| 1.5 \| 1 \| 1 \| \| 3 \| 11.5 \| 4.166 \| 3.83 \| 3.927 \| \| 4 \| 32.6 \| 8.4 \| 8.15 \| 8.297 \| \| 5 \| 80 \| 16.2 \| 16.00 \| 16.12 \| \| 6 \| 182 \| 30.5 \| 30.33 \| 30.5 \|	\| 7 \| 400 \| 57.28 \| 57.14 \| 57.22 \| \| --- \| --- \| --- \| --- \| --- \| \| 8 \| 856 \| 107.13 \| 107.00 \| 107.24 \|	1
\| K \| dc \| (d+1)/Kc \| d/Kc \| α(from)d \| \| --- \| --- \| --- \| --- \| --- \| \| 2 \| 2 \| 1.5 \| 1 \| 1 \| \| 3 \| 11.5 \| 4.166 \| 3.83 \| 3.927 \| \| 4 \| 32.6 \| 8.4 \| 8.15 \| 8.297 \| \| 5 \| 80 \| 16.2 \| 16.00 \| 16.12 \| \| 6 \| 182 \| 30.5 \| 30.33 \| 30.5 \|	\| 6 \| 30.5 \| 38.5 \| 43.41 \| 42.95 \| 45 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 7 \| 57.28 \| 72.1 \| 87.84 \| 87.35 \| 89.42 \| \| 8 \| 107.13 \| 134.2 \| 176.57 \| 176.06 \| 178.1 \|	0
\| ContextPRF \| \| --- \| \| both96.496.296.3 \| \| bi-character94.994.694.8 \|	\| uni-character95.895.895.8 \| \| --- \| \| oracle-combined97.497.397.4 \|	1
\| ContextPRF \| \| --- \| \| both96.496.296.3 \| \| bi-character94.994.694.8 \|	\| BranchesofA \| BranchesofB \| BranchesofC \| \| --- \| --- \| --- \| \| Flatten \| \| \| \| FC-64 \| FC-256 \| FC-512 \| \| FC-cA1 \| FC-256 \| FC-512 \| \| \| FC-cB1 \| FC-cC1 \| \| \| *Flatten \| \| \| \| FC-512 \| FC-1024 \| \| \| FC-512 \| FC-1024 \| \| \| FC-cB2 \| FC-cC2 \|	0
\| ContextPRF \| \| --- \| \| both96.496.296.3 \|	\| bi-character94.994.694.8 \| \| --- \| \| uni-character95.895.895.8 \| \| oracle-combined97.497.397.4 \|	1
\| ContextPRF \| \| --- \| \| both96.496.296.3 \|	\| FC-64 \| FC-256 \| FC-512 \| \| --- \| --- \| --- \| \| FC-cA1 \| FC-256 \| FC-512 \| \| \| FC-cB1 \| FC-cC1 \| \| \| **Flatten \| \| \| \| FC-512 \| FC-1024 \| \| \| FC-512 \| FC-1024 \| \| \| FC-cB2 \| FC-cC2 \|	0
\| Model \| Accuracy \| Precision<br>(0,1) \| Recall<br>(0,1) \| F-score<br>(0,1) \| \| --- \| --- \| --- \| --- \| --- \| \| NB \| 94.11 \| 95,92.32 \| 96,90 \| 95.5,91.4 \| \| SVM \| 93.31 \| 97.13,87.18 \| 92.4,94.91 \| 94.74,90.90 \|	\| E-RNN \| 95.4 \| 98.42,90.37 \| 94.47,97.12 \| 96.40,93.62 \| \| --- \| --- \| --- \| --- \| --- \| \| CNN-RNN \| 96.01 \| 96.22,95.56 \| 97.69,92.81 \| 96.94,94.16 \| \| EC-RNN \| 98.1 \| 99.0,96.07 \| 97.85,98.27 \| 98.42,97.16 \|	1
\| Model \| Accuracy \| Precision<br>(0,1) \| Recall<br>(0,1) \| F-score<br>(0,1) \| \| --- \| --- \| --- \| --- \| --- \| \| NB \| 94.11 \| 95,92.32 \| 96,90 \| 95.5,91.4 \| \| SVM \| 93.31 \| 97.13,87.18 \| 92.4,94.91 \| 94.74,90.90 \|	\| Model \| Label \| ACC \| TNR \| FPR \| FNR \| Precision \| Recall \| F1 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| SVM<br>MLP<br>LR<br>RF<br>CNN \| 0<br>0<br>0<br>0<br>0 \| 87.41±0.46<br>75.56±12.84<br>64.08±0.66<br>87.40±0.32<br>92.63±0.27 \| 97.00±0.20<br>74.86±18.72<br>99.73±0.11<br>93.47±0.19<br>94.64±0.44 ...	0
\| Model \| Accuracy \| Precision<br>(0,1) \| Recall<br>(0,1) \| F-score<br>(0,1) \| \| --- \| --- \| --- \| --- \| --- \| \| NB \| 94.11 \| 95,92.32 \| 96,90 \| 95.5,91.4 \|	\| SVM \| 93.31 \| 97.13,87.18 \| 92.4,94.91 \| 94.74,90.90 \| \| --- \| --- \| --- \| --- \| --- \| \| E-RNN \| 95.4 \| 98.42,90.37 \| 94.47,97.12 \| 96.40,93.62 \| \| CNN-RNN \| 96.01 \| 96.22,95.56 \| 97.69,92.81 \| 96.94,94.16 \| \| EC-RNN \| 98.1 \| 99.0,96.07 \| 97.85,98.27 \| 98.42,97.16 \|	1
\| Model \| Accuracy \| Precision<br>(0,1) \| Recall<br>(0,1) \| F-score<br>(0,1) \| \| --- \| --- \| --- \| --- \| --- \| \| NB \| 94.11 \| 95,92.32 \| 96,90 \| 95.5,91.4 \|	\| SVM<br>MLP<br>LR<br>RF<br>CNN \| 5<br>5<br>5<br>5<br>5 \| 96.14±0.22<br>93.88±0.97<br>94.31±0.26<br>94.54±0.11<br>96.60±0.16 \| 97.35±0.31<br>95.47±0.96<br>94.60±0.31<br>96.29±0.14<br>98.26±0.30 \| 2.65±0.31<br>4.53±0.96<br>5.40±0.31<br>3.71±0.14<br>1.74±0.30 \| 20.33±3.08<br>28.15±9.10<br>15.11±2.45<br>31.71±2.48<br>21.7...	0
\| operation \| Latticesize \| \| \| --- \| --- \| --- \| \| \| \| \| \| +,-,*,/ \| 0.0011 \| 0.0046 \|	\| cos,sin \| 0.0540 \| 0.0650 \| \| --- \| --- \| --- \| \| log,exp \| 0.0609 \| 0.1100 \|	1
\| operation \| Latticesize \| \| \| --- \| --- \| --- \| \| \| \| \| \| +,-,*,/ \| 0.0011 \| 0.0046 \|	\| N \| exp \| s,i1 \| s,i2 \| s,s,i \| f,i \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 64 \| 1 \| 0.4 \| 2 \| 7 \| 9 \| \| 128 \| 5 \| 0.7 \| 3 \| 30 \| 39 \| \| 256 \| 30 \| 1.3 \| 7 \| 139 \| 206 \| \| 512 \| 344 \| 4.2 \| 19 \| 611 \| 1200 \|	0
\| operation \| Latticesize \| \| \| --- \| --- \| --- \| \| \| \| \| \| +,-,*,/ \| 0.0011 \| 0.0046 \|	\| cos,sin \| 0.0540 \| 0.0650 \| \| --- \| --- \| --- \| \| log,exp \| 0.0609 \| 0.1100 \|	1
\| operation \| Latticesize \| \| \| --- \| --- \| --- \| \| \| \| \| \| +,-,*,/ \| 0.0011 \| 0.0046 \|	\| 256 \| 30 \| 1.3 \| 7 \| 139 \| 206 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 512 \| 344 \| 4.2 \| 19 \| 611 \| 1200 \|	0
\| Imagetosentence \| \| --- \| \| R@1R@5R@10Medianrank \|	\| 2.56.79.7714 \| \| --- \| \| 0.00.41.21348 \| \| 0.10.71.11103 \| \| 1.25.79.5360 \| \| 1.45.78.9278 \| \| 10.429.340.017 \|	1
\| Imagetosentence \| \| --- \| \| R@1R@5R@10Medianrank \|	\| Imagetosentence \| \| --- \| \| R@1R@5R@10Medianrank \| \| 22.248.261.44.8 \| \| 18.440.250.910 \| \| 23.050.762.95 \| \| 26.652.063.75 \|	0
\| Imagetosentence \| \| --- \| \| R@1R@5R@10Medianrank \| \| 2.56.79.7714 \| \| 0.00.41.21348 \| \| 0.10.71.11103 \|	\| 1.25.79.5360 \| \| --- \| \| 1.45.78.9278 \| \| 10.429.340.017 \|	1
\| Imagetosentence \| \| --- \| \| R@1R@5R@10Medianrank \| \| 2.56.79.7714 \| \| 0.00.41.21348 \| \| 0.10.71.11103 \|	\| 22.248.261.44.8 \| \| --- \| \| 18.440.250.910 \| \| 23.050.762.95 \| \| 26.652.063.75 \|	0
\| Nbof \| BSSR1 \| PRIVATE \| BANCA \| \| --- \| --- \| --- \| --- \| \| users \| 512 \| 100 \| 208 \|	\| intratuples \| 512 \| 1600 \| 467 \| \| --- \| --- \| --- \| --- \| \| intertuples \| 261632 \| 158400 \| 624 \| \| items/tuples \| 4 \| 5 \| 4 \|	1
\| Nbof \| BSSR1 \| PRIVATE \| BANCA \| \| --- \| --- \| --- \| --- \| \| users \| 512 \| 100 \| 208 \|	\| Nbof \| BSSR1 \| PRIVATE \| BANCA \| \| --- \| --- \| --- \| --- \| \| users \| 512 \| 100 \| 208 \| \| intratuple \| 512 \| 1600 \| 467 \| \| intertuple \| 261632 \| 158400 \| 624 \| \| items/tuples \| 4 \| 5 \| 4 \|	0
\| Nbof \| BSSR1 \| PRIVATE \| BANCA \| \| --- \| --- \| --- \| --- \| \| users \| 512 \| 100 \| 208 \| \| intratuples \| 512 \| 1600 \| 467 \|	\| intertuples \| 261632 \| 158400 \| 624 \| \| --- \| --- \| --- \| --- \| \| items/tuples \| 4 \| 5 \| 4 \|	1
\| Nbof \| BSSR1 \| PRIVATE \| BANCA \| \| --- \| --- \| --- \| --- \| \| users \| 512 \| 100 \| 208 \| \| intratuples \| 512 \| 1600 \| 467 \|	\| intertuple \| 261632 \| 158400 \| 624 \| \| --- \| --- \| --- \| --- \| \| items/tuples \| 4 \| 5 \| 4 \|	0
\| Predictor \| AdjustedR \| p−value \| \| --- \| --- \| --- \| \| AvgTweet-rate \| 0.79 \| 8.39e-09 \|	\| AvgTweet-rate+thcnt \| 0.83 \| 7.93e-09 \| \| --- \| --- \| --- \| \| AvgTweet-rate+PNratio \| 0.92 \| 4.31e-12 \| \| Tweet-ratetimeseries \| 0.84 \| 4.18e-06 \| \| Tweet-ratetimeseries+thcnt \| 0.863 \| 3.64e-06 \| \| Tweet-ratetimeseries+PNratio \| 0.94 \| 1.84e-08 \|	1
\| Predictor \| AdjustedR \| p−value \| \| --- \| --- \| --- \| \| AvgTweet-rate \| 0.79 \| 8.39e-09 \|	\| Datasets \| TWEETS \| GN \| YELP \| \| --- \| --- \| --- \| --- \| \| #ofmsg \| 12.7M \| 2.2M \| 1.6M \| \| Vocabularysize \| 1.7M \| 208K \| 85K \| \| Avg.#ofmsgkeywords \| 9 \| 7 \| 37 \| \| SizeinGB \| 2.26 \| 0.3 \| 1.04 \|	0
\| Predictor \| AdjustedR \| p−value \| \| --- \| --- \| --- \| \| AvgTweet-rate \| 0.79 \| 8.39e-09 \| \| AvgTweet-rate+thcnt \| 0.83 \| 7.93e-09 \| \| AvgTweet-rate+PNratio \| 0.92 \| 4.31e-12 \| \| Tweet-ratetimeseries \| 0.84 \| 4.18e-06 \|	\| Tweet-ratetimeseries+thcnt \| 0.863 \| 3.64e-06 \| \| --- \| --- \| --- \| \| Tweet-ratetimeseries+PNratio \| 0.94 \| 1.84e-08 \|	1
\| Predictor \| AdjustedR \| p−value \| \| --- \| --- \| --- \| \| AvgTweet-rate \| 0.79 \| 8.39e-09 \| \| AvgTweet-rate+thcnt \| 0.83 \| 7.93e-09 \| \| AvgTweet-rate+PNratio \| 0.92 \| 4.31e-12 \| \| Tweet-ratetimeseries \| 0.84 \| 4.18e-06 \|	\| Avg.#ofmsgkeywords \| 9 \| 7 \| 37 \| \| --- \| --- \| --- \| --- \| \| SizeinGB \| 2.26 \| 0.3 \| 1.04 \|	0
\| Codec \| Time(s) \| \| --- \| --- \| \| JPEG \| 0.39 \| \| JPEG2000 \| 0.59 \| \| Balle’sworkwithCPU \| 7.39 \|	\| ProposeCAEwithCPU \| 2.29 \| \| --- \| --- \| \| ProposeCAEwithGPU \| 0.67 \|	1
\| Codec \| Time(s) \| \| --- \| --- \| \| JPEG \| 0.39 \| \| JPEG2000 \| 0.59 \| \| Balle’sworkwithCPU \| 7.39 \|	\| Teamname \| meanAP \| \| --- \| --- \| \| CUVideo(Ours) \| 67.82 \| \| ITLabVID-Inha \| 51.50 \| \| UIUC-IFP \| 48.72 \| \| Trimps-Soushen \| 46.12 \| \| 1-HKUST \| 42.11 \| \| HiVision \| 37.52 \| \| RUCBDAI \| 35.97 \|	0
\| Codec \| Time(s) \| \| --- \| --- \| \| JPEG \| 0.39 \| \| JPEG2000 \| 0.59 \|	\| Balle’sworkwithCPU \| 7.39 \| \| --- \| --- \| \| ProposeCAEwithCPU \| 2.29 \| \| ProposeCAEwithGPU \| 0.67 \|	1
\| Codec \| Time(s) \| \| --- \| --- \| \| JPEG \| 0.39 \| \| JPEG2000 \| 0.59 \|	\| HiVision \| 37.52 \| \| --- \| --- \| \| RUCBDAI \| 35.97 \|	0
\| Instance \| Target \| NuMVC<br>IterationsTime(s) \| ULSA<br>IterationsTime(s) \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| frb40-19-1<br>frb40-19-2<br>frb40-19-3<br>frb40-19-4<br>frb40-19-5 \| 40<br>40<br>40<br>40<br>40 \| 205831<br>3668573<br>873459<br>2602852<br>7830157 \| 0.16<br>2.74<br>0.65<br>1.94<br>5.84 \| 25921<...	\| frb59-26-1<br>frb59-26-2<br>frb59-26-3<br>frb59-26-4<br>frb59-26-5 \| 59<br>59<br>59<br>59<br>59 \| 827709031<br>2309186751<br>389945144<br>535848770<br>30809115 \| 1079.55<br>3009.04<br>508.30<br>699.94<br>40.12 \| 187448484<br>236516360<br>62055067<br>215800597<br>2429727 \| 27.76<br>35.06<br>9.21<br>32.31<br>0.38 \| \| -...	1
\| Instance \| Target \| NuMVC<br>IterationsTime(s) \| ULSA<br>IterationsTime(s) \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| frb40-19-1<br>frb40-19-2<br>frb40-19-3<br>frb40-19-4<br>frb40-19-5 \| 40<br>40<br>40<br>40<br>40 \| 205831<br>3668573<br>873459<br>2602852<br>7830157 \| 0.16<br>2.74<br>0.65<br>1.94<br>5.84 \| 25921<...	\| Pattern<br>Size \| Algorithm \| System1 \| System2 \| System3 \| \| --- \| --- \| --- \| --- \| --- \| \| 2 \| ABM<br>HAL<br>L<br>SF<br>TBM \| 8.89665<br>8.26117<br>6.08718<br>4.28357<br>10.5142 \| 24.6946<br>24.6946<br>24.6946<br>9.87784<br>32.9261 \| 32.9261<br>32.9261<br>32.9261<br>24.6946<br>32.9261 \| \| 4 \| ABM<br>HAL<br>L<br>SF...	0
\| Instance \| Target \| NuMVC<br>IterationsTime(s) \| ULSA<br>IterationsTime(s) \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| frb40-19-1<br>frb40-19-2<br>frb40-19-3<br>frb40-19-4<br>frb40-19-5 \| 40<br>40<br>40<br>40<br>40 \| 205831<br>3668573<br>873459<br>2602852<br>7830157 \| 0.16<br>2.74<br>0.65<br>1.94<br>5.84 \| 25921<...	\| frb45-21-1<br>frb45-21-2<br>frb45-21-3<br>frb45-21-4<br>frb45-21-5 \| 45<br>45<br>45<br>45<br>45 \| 1993837<br>4377381<br>9277665<br>2718138<br>7712590 \| 1.77<br>3.86<br>8.16<br>2.40<br>6.81 \| 661451<br>1817130<br>3587173<br>454525<br>6581368 \| 0.10<br>0.26<br>0.50<br>0.07<br>0.93 \| \| --- \| --- \| --- \| --- \| --- \| --- ...	1
\| Instance \| Target \| NuMVC<br>IterationsTime(s) \| ULSA<br>IterationsTime(s) \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| frb40-19-1<br>frb40-19-2<br>frb40-19-3<br>frb40-19-4<br>frb40-19-5 \| 40<br>40<br>40<br>40<br>40 \| 205831<br>3668573<br>873459<br>2602852<br>7830157 \| 0.16<br>2.74<br>0.65<br>1.94<br>5.84 \| 25921<...	\| 6 \| ABM<br>HAL<br>L<br>SF<br>TBM \| 28.1637<br>31.2569<br>6.45279<br>4.28142<br>29.2294 \| 60.2832<br>63.6323<br>27.4015<br>9.84005<br>62.249 \| 89.4829<br>108.055<br>37.9265<br>22.1973<br>93.8837 \| \| --- \| --- \| --- \| --- \| --- \| \| 8 \| ABM<br>HAL<br>L<br>SF<br>TBM \| 33.7463<br>37.0999<br>6.34086<br>4.23323<br>35.3437 \|...	0