premise string | hypothesis string | label int64 |
|---|---|---|
| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |
| --- | --- | --- | --- | --- |
| ash219 | 137 | 111 | 1.187 | 0.18 |
| dwt72 | 26 | 59 | 0.500 | 0.07 | | | can62 | 57 | 119 | 0.500 | 0.15 |
| --- | --- | --- | --- | --- |
| dwt66 | 8 | 31 | 0.312 | 0.06 |
| bcspwr02 | 49 | 51 | 0.484 | 0.06 |
| dwt59 | 137 | 201 | 0.969 | 0.30 |
| bcspwr01 | 13 | 13 | 0.125 | 0.02 |
| ash85 | 593 | 971 | 8.610 | 2.87 |
| dwt87 | 109 | 241 | 3.031 | 0.90 |
| impcolb | 428 | 380 | 1.532 | 0.59 |
| west0067 | 195 | 185 | 1.578 | 0.51 |
| will57 | 55 | 17 | 0.531 | 0.05 |
| can96 | 7787 | 259231 | 154.921 | 1131.60 |
| steam3 | 108 | 313 | 1.828 | 0.81 |
| curtis54 | 77 | 167 | 0.625 | 0.20 |
| can73 | 1138 | 6997 | 8.266 | 21.82 |
| bfw62a | 7 | 11 | 0.579 | 0.05 |
| ibm32 | 69 | 72 | 0.313 | 0.07 |
| pores1 | 48 | 7 | 0.204 | 0.09 |
| can61 | 90 | 5 | 2.109 | 0.82 |
| bcsstk01 | 0 | 39 | 0.063 | 1.63 |
| can24 | 0 | 17 | 0.000 | 0.05 |
| fidapm05 | 44 | 5 | 0.422 | 0.10 |
| fidap005 | 28 | 5 | 0.109 | 0.04 |
| moyenne | 467 | 11219 | 7.867 | 48.46 | | 1 |
| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |
| --- | --- | --- | --- | --- |
| ash219 | 137 | 111 | 1.187 | 0.18 |
| dwt72 | 26 | 59 | 0.500 | 0.07 | | | Instance | n | e | d | β(n) | αmin | α/nmin |
| --- | --- | --- | --- | --- | --- | --- |
| ash219 | 85 | 219 | 0.06 | 56 | 2 | 0.024 |
| dwt72 | 72 | 170 | 0.07 | 48 | 2 | 0.028 |
| can62 | 62 | 210 | 0.11 | 41 | 2 | 0.032 |
| dwt66 | 66 | 255 | 0.12 | 44 | 4 | 0.061 |
| bcspwr02 | 49 | 177 | 0.15 | 32 | 2 | 0.041 |
| dwt59 | 59 | 256 | 0.15 | 39 | 3 | 0.051 |
| bcspwr01 | 39 | 118 | 0.16 | 26 | 2 | 0.051 |
| ash85 | 85 | 616 | 0.17 | 56 | 6 | 0.071 |
| dwt87 | 87 | 726 | 0.19 | 58 | 4 | 0.046 |
| impcolb | 59 | 329 | 0.19 | 39 | 3 | 0.051 |
| west0067 | 67 | 411 | 0.19 | 44 | 3 | 0.045 |
| will57 | 57 | 304 | 0.19 | 38 | 2 | 0.035 |
| can96 | 96 | 912 | 0.20 | 64 | 14 | 0.146 |
| steam3 | 80 | 712 | 0.23 | 53 | 8 | 0.100 |
| curtis54 | 54 | 337 | 0.24 | 36 | 5 | 0.093 |
| can73 | 73 | 652 | 0.25 | 48 | 10 | 0.137 |
| bfw62a | 62 | 639 | 0.34 | 41 | 3 | 0.048 |
| ibm32 | 32 | 179 | 0.36 | 21 | 4 | 0.125 |
| pores1 | 30 | 179 | 0.41 | 20 | 5 | 0.167 |
| can61 | 61 | 866 | 0.47 | 40 | 12 | 0.197 |
| bcsstk01 | 48 | 622 | 0.55 | 32 | 18 | 0.375 |
| can24 | 24 | 156 | 0.57 | 16 | 8 | 0.333 |
| fidapm05 | 42 | 528 | 0.61 | 28 | 12 | 0.286 |
| fidap005 | 27 | 234 | 0.67 | 18 | 9 | 0.333 | | 0 |
| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |
| --- | --- | --- | --- | --- |
| ash219 | 137 | 111 | 1.187 | 0.18 |
| dwt72 | 26 | 59 | 0.500 | 0.07 |
| can62 | 57 | 119 | 0.500 | 0.15 |
| dwt66 | 8 | 31 | 0.312 | 0.06 |
| bcspwr02 | 49 | 51 | 0.484 | 0.06 |
| dwt59 | 137 | 201 | 0.969 | 0.30 |
| bcspwr01 | 13 | 13 | 0.125 | 0.02 |
| ash85 | 593 | 971 | 8.610 | 2.87 |
| dwt87 | 109 | 241 | 3.031 | 0.90 |
| impcolb | 428 | 380 | 1.532 | 0.59 |
| west0067 | 195 | 185 | 1.578 | 0.51 |
| will57 | 55 | 17 | 0.531 | 0.05 |
| can96 | 7787 | 259231 | 154.921 | 1131.60 |
| steam3 | 108 | 313 | 1.828 | 0.81 |
| curtis54 | 77 | 167 | 0.625 | 0.20 |
| can73 | 1138 | 6997 | 8.266 | 21.82 |
| bfw62a | 7 | 11 | 0.579 | 0.05 |
| ibm32 | 69 | 72 | 0.313 | 0.07 |
| pores1 | 48 | 7 | 0.204 | 0.09 |
| can61 | 90 | 5 | 2.109 | 0.82 |
| bcsstk01 | 0 | 39 | 0.063 | 1.63 | | | can24 | 0 | 17 | 0.000 | 0.05 |
| --- | --- | --- | --- | --- |
| fidapm05 | 44 | 5 | 0.422 | 0.10 |
| fidap005 | 28 | 5 | 0.109 | 0.04 |
| moyenne | 467 | 11219 | 7.867 | 48.46 | | 1 |
| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |
| --- | --- | --- | --- | --- |
| ash219 | 137 | 111 | 1.187 | 0.18 |
| dwt72 | 26 | 59 | 0.500 | 0.07 |
| can62 | 57 | 119 | 0.500 | 0.15 |
| dwt66 | 8 | 31 | 0.312 | 0.06 |
| bcspwr02 | 49 | 51 | 0.484 | 0.06 |
| dwt59 | 137 | 201 | 0.969 | 0.30 |
| bcspwr01 | 13 | 13 | 0.125 | 0.02 |
| ash85 | 593 | 971 | 8.610 | 2.87 |
| dwt87 | 109 | 241 | 3.031 | 0.90 |
| impcolb | 428 | 380 | 1.532 | 0.59 |
| west0067 | 195 | 185 | 1.578 | 0.51 |
| will57 | 55 | 17 | 0.531 | 0.05 |
| can96 | 7787 | 259231 | 154.921 | 1131.60 |
| steam3 | 108 | 313 | 1.828 | 0.81 |
| curtis54 | 77 | 167 | 0.625 | 0.20 |
| can73 | 1138 | 6997 | 8.266 | 21.82 |
| bfw62a | 7 | 11 | 0.579 | 0.05 |
| ibm32 | 69 | 72 | 0.313 | 0.07 |
| pores1 | 48 | 7 | 0.204 | 0.09 |
| can61 | 90 | 5 | 2.109 | 0.82 |
| bcsstk01 | 0 | 39 | 0.063 | 1.63 | | | west0067 | 67 | 411 | 0.19 | 44 | 3 | 0.045 |
| --- | --- | --- | --- | --- | --- | --- |
| will57 | 57 | 304 | 0.19 | 38 | 2 | 0.035 |
| can96 | 96 | 912 | 0.20 | 64 | 14 | 0.146 |
| steam3 | 80 | 712 | 0.23 | 53 | 8 | 0.100 |
| curtis54 | 54 | 337 | 0.24 | 36 | 5 | 0.093 |
| can73 | 73 | 652 | 0.25 | 48 | 10 | 0.137 |
| bfw62a | 62 | 639 | 0.34 | 41 | 3 | 0.048 |
| ibm32 | 32 | 179 | 0.36 | 21 | 4 | 0.125 |
| pores1 | 30 | 179 | 0.41 | 20 | 5 | 0.167 |
| can61 | 61 | 866 | 0.47 | 40 | 12 | 0.197 |
| bcsstk01 | 48 | 622 | 0.55 | 32 | 18 | 0.375 |
| can24 | 24 | 156 | 0.57 | 16 | 8 | 0.333 |
| fidapm05 | 42 | 528 | 0.61 | 28 | 12 | 0.286 |
| fidap005 | 27 | 234 | 0.67 | 18 | 9 | 0.333 | | 0 |
| Model | MSE |
| --- | --- |
| GLM5 | 0.4098 |
| GLM6 | 0.3649 | | | GLM7 | 0.3596 |
| --- | --- |
| FuzzyBayesian | 0.3654 | | 1 |
| Model | MSE |
| --- | --- |
| GLM5 | 0.4098 |
| GLM6 | 0.3649 | | | Model | NDCG@1 | NDCG@3 | MAP@1 | MAP@3 |
| --- | --- | --- | --- | --- |
| Fuzzy | 0.535 | 0.576 | 0.087 | 0.144 |
| E-RNN | 0.617 | 0.636 | 0.094 | 0.159 |
| EC-RNN | 0.642 | 0.682 | 0.102 | 0.162 |
| CNN-RNN | 0.615 | 0.658 | 0.090 | 0.151 |
| A-RNN | 0.630 | 0.679 | 0.109 | 0.155 |
| AC-RNN | 0.635 | 0.667 | 0.116 | 0.160 |
| NB | 0.619 | 0.611 | 0.092 | 0.151 |
| SVM | 0.620 | 0.646 | 0.096 | 0.156 |
| LSA | 0.639 | 0.651 | 0.096 | 0.153 |
| LexRank | 0.607 | 0.644 | 0.095 | 0.153 |
| TextRank | 0.629 | 0.645 | 0.095 | 0.153 | | 0 |
| Model | MSE |
| --- | --- |
| GLM5 | 0.4098 | | | GLM6 | 0.3649 |
| --- | --- |
| GLM7 | 0.3596 |
| FuzzyBayesian | 0.3654 | | 1 |
| Model | MSE |
| --- | --- |
| GLM5 | 0.4098 | | | EC-RNN | 0.642 | 0.682 | 0.102 | 0.162 |
| --- | --- | --- | --- | --- |
| CNN-RNN | 0.615 | 0.658 | 0.090 | 0.151 |
| A-RNN | 0.630 | 0.679 | 0.109 | 0.155 |
| AC-RNN | 0.635 | 0.667 | 0.116 | 0.160 |
| NB | 0.619 | 0.611 | 0.092 | 0.151 |
| SVM | 0.620 | 0.646 | 0.096 | 0.156 |
| LSA | 0.639 | 0.651 | 0.096 | 0.153 |
| LexRank | 0.607 | 0.644 | 0.095 | 0.153 |
| TextRank | 0.629 | 0.645 | 0.095 | 0.153 | | 0 |
| Method | Dataset | IDF1 | IDPR | IDRC | MOTA | PR | RC | MT |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| KSP | Town | 0.56(0.47) | 0.55 | 0.57 | 0.87 | 0.93 | 0.97 | 226 |
| MDP | Town | 0.87(0.84) | 0.92 | 0.82 | 0.87 | 0.99 | 0.89 | 184 |
| RNN | Town | 0.65(0.57) | 0.65 | 0.65 | 0.85 | 0.95 | 0.95 | 222 |
| SORT | Town | 0.88(0.85) | 0.93 | 0.84 | 0.90 | 1.00 | 0.90 | 203 |
| OUR | Town | 0.97(0.92) | 0.97 | 0.97 | 0.98 | 1.00 | 1.00 | 245 |
| KSP | ETH | 0.59(0.12) | 0.58 | 0.60 | 0.70 | 0.87 | 0.89 | 287 |
| MDP | ETH | 0.89(0.18) | 0.91 | 0.87 | 0.85 | 0.95 | 0.91 | 300 |
| RNN | ETH | 0.65(0.16) | 0.64 | 0.65 | 0.73 | 0.89 | 0.90 | 289 |
| SORT | ETH | 0.93(0.20) | 0.98 | 0.88 | 0.85 | 0.97 | 0.87 | 307 |
| OUR | ETH | 0.92(0.19) | 0.92 | 0.92 | 0.94 | 0.98 | 0.98 | 347 |
| KSP | Hotel | 0.60(0.21) | 0.61 | 0.58 | 0.74 | 0.90 | 0.86 | 217 |
| MDP | Hotel | 0.85(0.33) | 0.87 | 0.83 | 0.84 | 0.95 | 0.90 | 249 |
| RNN | Hotel | 0.70(0.28) | 0.69 | 0.71 | 0.78 | 0.91 | 0.94 | 284 |
| SORT | Hotel | 0.88(0.36) | 0.97 | 0.81 | 0.82 | 0.99 | 0.83 | 191 |
| OUR | Hotel | 0.94(0.38) | 0.94 | 0.94 | 0.97 | 1.00 | 1.00 | 314 |
| KSP | Station | 0.45 | 0.44 | 0.45 | 0.80 | 0.93 | 0.95 | 10957 |
| MDP | Station | 0.75 | 0.70 | 0.80 | 0.68 | 0.81 | 0.93 | 464 |
| RNN | Station | 0.40 | 0.39 | 0.40 | 0.68 | 0.90 | 0.94 | 10870 | | | SORT | Station | 0.72 | 0.85 | 0.63 | 0.70 | 1.00 | 0.74 | 4968 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| OUR | Station | 0.70 | 0.62 | 0.62 | 0.77 | 0.99 | 0.99 | 579 | | 1 |
| Method | Dataset | IDF1 | IDPR | IDRC | MOTA | PR | RC | MT |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| KSP | Town | 0.56(0.47) | 0.55 | 0.57 | 0.87 | 0.93 | 0.97 | 226 |
| MDP | Town | 0.87(0.84) | 0.92 | 0.82 | 0.87 | 0.99 | 0.89 | 184 |
| RNN | Town | 0.65(0.57) | 0.65 | 0.65 | 0.85 | 0.95 | 0.95 | 222 |
| SORT | Town | 0.88(0.85) | 0.93 | 0.84 | 0.90 | 1.00 | 0.90 | 203 |
| OUR | Town | 0.97(0.92) | 0.97 | 0.97 | 0.98 | 1.00 | 1.00 | 245 |
| KSP | ETH | 0.59(0.12) | 0.58 | 0.60 | 0.70 | 0.87 | 0.89 | 287 |
| MDP | ETH | 0.89(0.18) | 0.91 | 0.87 | 0.85 | 0.95 | 0.91 | 300 |
| RNN | ETH | 0.65(0.16) | 0.64 | 0.65 | 0.73 | 0.89 | 0.90 | 289 |
| SORT | ETH | 0.93(0.20) | 0.98 | 0.88 | 0.85 | 0.97 | 0.87 | 307 |
| OUR | ETH | 0.92(0.19) | 0.92 | 0.92 | 0.94 | 0.98 | 0.98 | 347 |
| KSP | Hotel | 0.60(0.21) | 0.61 | 0.58 | 0.74 | 0.90 | 0.86 | 217 |
| MDP | Hotel | 0.85(0.33) | 0.87 | 0.83 | 0.84 | 0.95 | 0.90 | 249 |
| RNN | Hotel | 0.70(0.28) | 0.69 | 0.71 | 0.78 | 0.91 | 0.94 | 284 |
| SORT | Hotel | 0.88(0.36) | 0.97 | 0.81 | 0.82 | 0.99 | 0.83 | 191 |
| OUR | Hotel | 0.94(0.38) | 0.94 | 0.94 | 0.97 | 1.00 | 1.00 | 314 |
| KSP | Station | 0.45 | 0.44 | 0.45 | 0.80 | 0.93 | 0.95 | 10957 |
| MDP | Station | 0.75 | 0.70 | 0.80 | 0.68 | 0.81 | 0.93 | 464 |
| RNN | Station | 0.40 | 0.39 | 0.40 | 0.68 | 0.90 | 0.94 | 10870 | | | Dataset | c | DPBook | EM | SVT | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1:1 | 1:3 | 1:k | 1:k | 1:1 | | | | |
| BMS-PO | 50 | 0.061 | 0.001 | 0.010 | 0.008 | 0.015 | 0.008 | 0.002 |
| 100 | 0.561 | 0.006 | 0.242 | 0.087 | 0.070 | 0.046 | 0.049 | |
| 150 | 0.674 | 0.048 | 0.502 | 0.339 | 0.243 | 0.209 | 0.184 | |
| 200 | 0.691 | 0.093 | 0.632 | 0.571 | 0.518 | 0.481 | 0.302 | |
| 250 | 0.658 | 0.123 | 0.645 | 0.596 | 0.574 | 0.554 | 0.312 | |
| 300 | 0.619 | 0.140 | 0.645 | 0.599 | 0.557 | 0.581 | 0.283 | |
| Kosarak | 50 | 0.731 | 0.000 | 0.027 | 0.010 | 0.008 | 0.006 | 0.004 |
| 100 | 0.984 | 0.033 | 0.932 | 0.658 | 0.346 | 0.398 | 0.777 | |
| 150 | 0.986 | 0.139 | 0.974 | 0.932 | 0.836 | 0.850 | 0.931 | |
| 200 | 0.987 | 0.218 | 0.981 | 0.969 | 0.936 | 0.955 | 0.958 | |
| 250 | 0.984 | 0.273 | 0.980 | 0.975 | 0.963 | 0.963 | 0.960 | |
| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 | |
| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |
| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 | |
| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 | |
| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 | |
| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 | |
| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 | | | 0 |
| Method | Dataset | IDF1 | IDPR | IDRC | MOTA | PR | RC | MT |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| KSP | Town | 0.56(0.47) | 0.55 | 0.57 | 0.87 | 0.93 | 0.97 | 226 |
| MDP | Town | 0.87(0.84) | 0.92 | 0.82 | 0.87 | 0.99 | 0.89 | 184 |
| RNN | Town | 0.65(0.57) | 0.65 | 0.65 | 0.85 | 0.95 | 0.95 | 222 |
| SORT | Town | 0.88(0.85) | 0.93 | 0.84 | 0.90 | 1.00 | 0.90 | 203 |
| OUR | Town | 0.97(0.92) | 0.97 | 0.97 | 0.98 | 1.00 | 1.00 | 245 |
| KSP | ETH | 0.59(0.12) | 0.58 | 0.60 | 0.70 | 0.87 | 0.89 | 287 |
| MDP | ETH | 0.89(0.18) | 0.91 | 0.87 | 0.85 | 0.95 | 0.91 | 300 |
| RNN | ETH | 0.65(0.16) | 0.64 | 0.65 | 0.73 | 0.89 | 0.90 | 289 |
| SORT | ETH | 0.93(0.20) | 0.98 | 0.88 | 0.85 | 0.97 | 0.87 | 307 |
| OUR | ETH | 0.92(0.19) | 0.92 | 0.92 | 0.94 | 0.98 | 0.98 | 347 |
| KSP | Hotel | 0.60(0.21) | 0.61 | 0.58 | 0.74 | 0.90 | 0.86 | 217 |
| MDP | Hotel | 0.85(0.33) | 0.87 | 0.83 | 0.84 | 0.95 | 0.90 | 249 |
| RNN | Hotel | 0.70(0.28) | 0.69 | 0.71 | 0.78 | 0.91 | 0.94 | 284 | | | SORT | Hotel | 0.88(0.36) | 0.97 | 0.81 | 0.82 | 0.99 | 0.83 | 191 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| OUR | Hotel | 0.94(0.38) | 0.94 | 0.94 | 0.97 | 1.00 | 1.00 | 314 |
| KSP | Station | 0.45 | 0.44 | 0.45 | 0.80 | 0.93 | 0.95 | 10957 |
| MDP | Station | 0.75 | 0.70 | 0.80 | 0.68 | 0.81 | 0.93 | 464 |
| RNN | Station | 0.40 | 0.39 | 0.40 | 0.68 | 0.90 | 0.94 | 10870 |
| SORT | Station | 0.72 | 0.85 | 0.63 | 0.70 | 1.00 | 0.74 | 4968 |
| OUR | Station | 0.70 | 0.62 | 0.62 | 0.77 | 0.99 | 0.99 | 579 | | 1 |
| Method | Dataset | IDF1 | IDPR | IDRC | MOTA | PR | RC | MT |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| KSP | Town | 0.56(0.47) | 0.55 | 0.57 | 0.87 | 0.93 | 0.97 | 226 |
| MDP | Town | 0.87(0.84) | 0.92 | 0.82 | 0.87 | 0.99 | 0.89 | 184 |
| RNN | Town | 0.65(0.57) | 0.65 | 0.65 | 0.85 | 0.95 | 0.95 | 222 |
| SORT | Town | 0.88(0.85) | 0.93 | 0.84 | 0.90 | 1.00 | 0.90 | 203 |
| OUR | Town | 0.97(0.92) | 0.97 | 0.97 | 0.98 | 1.00 | 1.00 | 245 |
| KSP | ETH | 0.59(0.12) | 0.58 | 0.60 | 0.70 | 0.87 | 0.89 | 287 |
| MDP | ETH | 0.89(0.18) | 0.91 | 0.87 | 0.85 | 0.95 | 0.91 | 300 |
| RNN | ETH | 0.65(0.16) | 0.64 | 0.65 | 0.73 | 0.89 | 0.90 | 289 |
| SORT | ETH | 0.93(0.20) | 0.98 | 0.88 | 0.85 | 0.97 | 0.87 | 307 |
| OUR | ETH | 0.92(0.19) | 0.92 | 0.92 | 0.94 | 0.98 | 0.98 | 347 |
| KSP | Hotel | 0.60(0.21) | 0.61 | 0.58 | 0.74 | 0.90 | 0.86 | 217 |
| MDP | Hotel | 0.85(0.33) | 0.87 | 0.83 | 0.84 | 0.95 | 0.90 | 249 |
| RNN | Hotel | 0.70(0.28) | 0.69 | 0.71 | 0.78 | 0.91 | 0.94 | 284 | | | 150 | 0.674 | 0.048 | 0.502 | 0.339 | 0.243 | 0.209 | 0.184 | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 200 | 0.691 | 0.093 | 0.632 | 0.571 | 0.518 | 0.481 | 0.302 | |
| 250 | 0.658 | 0.123 | 0.645 | 0.596 | 0.574 | 0.554 | 0.312 | |
| 300 | 0.619 | 0.140 | 0.645 | 0.599 | 0.557 | 0.581 | 0.283 | |
| Kosarak | 50 | 0.731 | 0.000 | 0.027 | 0.010 | 0.008 | 0.006 | 0.004 |
| 100 | 0.984 | 0.033 | 0.932 | 0.658 | 0.346 | 0.398 | 0.777 | |
| 150 | 0.986 | 0.139 | 0.974 | 0.932 | 0.836 | 0.850 | 0.931 | |
| 200 | 0.987 | 0.218 | 0.981 | 0.969 | 0.936 | 0.955 | 0.958 | |
| 250 | 0.984 | 0.273 | 0.980 | 0.975 | 0.963 | 0.963 | 0.960 | |
| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 | |
| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |
| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 | |
| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 | |
| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 | |
| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 | |
| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 | | | 0 |
| Method | Ratio(e)1 | Ratio(e)2 | AUC |
| --- | --- | --- | --- |
| FilteringOnly | - | - | 0.92116 |
| Hybrid | 0.02 | 0.008 | 0.97549 | | | Hybrid | 0.04 | 0.008 | 0.97082 |
| --- | --- | --- | --- |
| Hybrid | 0.02 | 0.01 | 0.97536 |
| Hybrid | 0.04 | 0.01 | 0.97069 | | 1 |
| Method | Ratio(e)1 | Ratio(e)2 | AUC |
| --- | --- | --- | --- |
| FilteringOnly | - | - | 0.92116 |
| Hybrid | 0.02 | 0.008 | 0.97549 | | | method | AU01 | AU02 | AU04 | AU06 | AU09 | AU12 | AU25 | AU26 | avg |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| APL | 11.4 | 12.0 | 30.1 | 12.4 | 10.1 | 65.9 | 21.4 | 26.0 | 23.8 |
| DRML | 17.3 | 17.7 | 37.4 | 29.0 | 10.7 | 37.7 | 38.5 | 20.1 | 26.7 |
| ROI | 41.5 | 26.4 | 66.4 | 50.7 | 8.5 | 89.3 | 88.9 | 15.6 | 48.5 |
| DSIN | [42.4] | [39.0] | [68.4] | 28.6 | [46.8] | 70.8 | [90.4] | [42.2] | [53.6] |
| DSIN | 46.9 | 42.5 | 68.8 | [32.0] | 51.8 | [73.1] | 91.9 | 46.6 | 56.7 | | 0 |
| Method | Ratio(e)1 | Ratio(e)2 | AUC |
| --- | --- | --- | --- |
| FilteringOnly | - | - | 0.92116 |
| Hybrid | 0.02 | 0.008 | 0.97549 | | | Hybrid | 0.04 | 0.008 | 0.97082 |
| --- | --- | --- | --- |
| Hybrid | 0.02 | 0.01 | 0.97536 |
| Hybrid | 0.04 | 0.01 | 0.97069 | | 1 |
| Method | Ratio(e)1 | Ratio(e)2 | AUC |
| --- | --- | --- | --- |
| FilteringOnly | - | - | 0.92116 |
| Hybrid | 0.02 | 0.008 | 0.97549 | | | DRML | 17.3 | 17.7 | 37.4 | 29.0 | 10.7 | 37.7 | 38.5 | 20.1 | 26.7 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| ROI | 41.5 | 26.4 | 66.4 | 50.7 | 8.5 | 89.3 | 88.9 | 15.6 | 48.5 |
| DSIN | [42.4] | [39.0] | [68.4] | 28.6 | [46.8] | 70.8 | [90.4] | [42.2] | [53.6] |
| DSIN | 46.9 | 42.5 | 68.8 | [32.0] | 51.8 | [73.1] | 91.9 | 46.6 | 56.7 | | 0 |
| Datasets | | | | |
| --- | --- | --- | --- | --- |
| NoofInstances/Classes | | | | |
| Maxnumberofnodes | | | | | | | | | 34.60(0.48) | 70.73(0.10) | 70.15(0.12) |
| --- | --- | --- | --- | --- |
| | 88.61(0.21) | | | |
| | | | | |
| | | | | |
| | | | | | | 1 |
| Datasets | | | | |
| --- | --- | --- | --- | --- |
| NoofInstances/Classes | | | | |
| Maxnumberofnodes | | | | | | | Dataset | Numberoffeatures | Numberofinstances | Numberofclasses |
| --- | --- | --- | --- |
| connect-4 | 42 | 67,557 | 3 |
| splice | 60 | 3,175 | 3 |
| waveform | 40 | 5,000 | 3 |
| landsat | 36 | 6,435 | 6 |
| lung | 325 | 73 | 7 |
| lymph | 4,026 | 96 | 9 |
| NCI9 | 9,712 | 60 | 9 | | 0 |
| Datasets | | | | |
| --- | --- | --- | --- | --- |
| NoofInstances/Classes | | | | |
| Maxnumberofnodes | | | | |
| | | 34.60(0.48) | 70.73(0.10) | 70.15(0.12) |
| | 88.61(0.21) | | | | | | | | | | |
| --- | --- | --- | --- | --- |
| | | | | |
| | | | | | | 1 |
| Datasets | | | | |
| --- | --- | --- | --- | --- |
| NoofInstances/Classes | | | | |
| Maxnumberofnodes | | | | |
| | | 34.60(0.48) | 70.73(0.10) | 70.15(0.12) |
| | 88.61(0.21) | | | | | | splice | 60 | 3,175 | 3 |
| --- | --- | --- | --- |
| waveform | 40 | 5,000 | 3 |
| landsat | 36 | 6,435 | 6 |
| lung | 325 | 73 | 7 |
| lymph | 4,026 | 96 | 9 |
| NCI9 | 9,712 | 60 | 9 | | 0 |
| | CCsAUCAUCNSS |
| --- | --- |
| SAM-ResNet | 0.8420.7790.8833.204 | | | DSCLRCN | 0.8310.7760.8843.157 |
| --- | --- |
| SAM-VGG | 0.8250.7740.8813.143 |
| ML-Net | 0.7430.7680.8662.789 |
| MixNet | 0.7300.7710.8612.767 |
| SU | 0.7800.7600.8802.610 |
| SalGAN(*) | 0.7810.7720.7812.459 |
| SalNet | 0.6220.7240.8581.859 |
| DeepGazeII | 0.5090.7610.8851.336 | | 1 |
| | CCsAUCAUCNSS |
| --- | --- |
| SAM-ResNet | 0.8420.7790.8833.204 | | | | SIMCCsAUCAUCNSSEMD |
| --- | --- |
| DSCLRCN | 0.680.800.720.872.352.17 |
| SAM-ResNet | 0.680.780.700.872.342.15 |
| SAM-VGG | 0.670.770.710.872.302.14 |
| DeepFix | 0.670.780.710.872.262.04 |
| SALICON | 0.600.740.740.872.122.62 |
| PDP | 0.600.700.730.852.052.58 |
| ML-Net | 0.590.670.700.852.052.63 |
| SalGAN(*) | 0.630.730.720.862.042.29 |
| iSEEL | 0.570.650.680.841.782.72 |
| SalNet | 0.520.580.690.831.513.31 |
| BMS | 0.510.550.650.831.413.35 |
| Mr-CNN | 0.480.480.690.791.373.71 |
| DeepGazeII | 0.460.520.720.881.293.98 |
| GBVS | 0.480.480.630.811.243.51 |
| eDN | 0.410.450.620.821.144.56 | | 0 |
| | CCsAUCAUCNSS |
| --- | --- |
| SAM-ResNet | 0.8420.7790.8833.204 |
| DSCLRCN | 0.8310.7760.8843.157 |
| SAM-VGG | 0.8250.7740.8813.143 |
| ML-Net | 0.7430.7680.8662.789 |
| MixNet | 0.7300.7710.8612.767 |
| SU | 0.7800.7600.8802.610 |
| SalGAN(*) | 0.7810.7720.7812.459 | | | SalNet | 0.6220.7240.8581.859 |
| --- | --- |
| DeepGazeII | 0.5090.7610.8851.336 | | 1 |
| | CCsAUCAUCNSS |
| --- | --- |
| SAM-ResNet | 0.8420.7790.8833.204 |
| DSCLRCN | 0.8310.7760.8843.157 |
| SAM-VGG | 0.8250.7740.8813.143 |
| ML-Net | 0.7430.7680.8662.789 |
| MixNet | 0.7300.7710.8612.767 |
| SU | 0.7800.7600.8802.610 |
| SalGAN(*) | 0.7810.7720.7812.459 | | | SALICON | 0.600.740.740.872.122.62 |
| --- | --- |
| PDP | 0.600.700.730.852.052.58 |
| ML-Net | 0.590.670.700.852.052.63 |
| SalGAN(*) | 0.630.730.720.862.042.29 |
| iSEEL | 0.570.650.680.841.782.72 |
| SalNet | 0.520.580.690.831.513.31 |
| BMS | 0.510.550.650.831.413.35 |
| Mr-CNN | 0.480.480.690.791.373.71 |
| DeepGazeII | 0.460.520.720.881.293.98 |
| GBVS | 0.480.480.630.811.243.51 |
| eDN | 0.410.450.620.821.144.56 | | 0 |
| Tags | b | c | f | m | o | p | v | Average |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | DevelopmentSet | | | | | | | | | | GMM(DCASEbaseline)<br>Chunk-SVM<br>Frame-SVM<br>Yun-MFCC-GMM<br>Cakir-MFCC-CNN<br>Lidy-CQT-CNN*<br>MFCC-DNN<br>MBK-DNN<br>ProposedsDAE-DNN<br>ProposedaDAE-DNN | 0.074<br>0.464<br>0.205<br>0.074<br>0.070<br>-<br>0.078<br>0.067<br>0.068<br>0.067 | 0.225<br>0.438<br>0.199<br>0.165<br>0.210<br>-<br>0.145<br>0.142<br>0.134<br>0.124 | 0.289<br>0.430<br>0.284<br>0.249<br>0.250<br>-<br>0.230<br>0.206<br>0.206<br>0.202 | 0.269<br>0.470<br>0.390<br>0.216<br>0.150<br>-<br>0.126<br>0.102<br>0.087<br>0.092 | 0.290<br>0.524<br>0.361<br>0.278<br>0.260<br>-<br>0.268<br>0.256<br>0.238<br>0.231 | 0.248<br>0.518<br>0.308<br>0.210<br>0.210<br>-<br>0.183<br>0.148<br>0.146<br>0.143 | 0.050<br>0.274<br>0.090<br>0.039<br>0.050<br>-<br>0.029<br>0.025<br>0.023<br>0.023 | 0.206<br>0.445<br>0.263<br>0.176<br>0.171<br>-<br>0.151<br>0.135<br>0.129<br>0.126 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | EvaluationSet | | | | | | | |
| GMM(DCASEbaseline)<br>Chunk-SVM<br>Frame-SVM<br>Yun-MFCC-GMM<br>Cakir-MFCC-CNN<br>Lidy-CQT-CNN<br>MFCC-DNN<br>MBK-DNN<br>ProposedsDAE-DNN<br>ProposedaDAE-DNN | 0.117<br>0.032<br>0.129<br>0.032<br>0.022<br>0.032<br>0.032<br>0.032<br>0.023<br>0.014 | 0.191<br>0.385<br>0.166<br>0.177<br>0.25<br>0.21<br>0.204<br>0.184<br>0.184<br>0.210 | 0.314<br>0.407<br>0.241<br>0.179<br>0.25<br>0.214<br>0.21<br>0.204<br>0.203<br>0.207 | 0.326<br>0.472<br>0.353<br>0.253<br>0.159<br>0.182<br>0.209<br>0.172<br>0.165<br>0.149 | 0.249<br>0.536<br>0.336<br>0.266<br>0.258<br>0.32<br>0.288<br>0.272<br>0.280<br>0.256 | 0.212<br>0.506<br>0.268<br>0.207<br>0.208<br>0.168<br>0.194<br>0.179<br>0.174<br>0.175 | 0.056<br>0.473<br>0.093<br>0.102<br>0.027<br>0.035<br>0.039<br>0.053<br>0.041<br>0.022 | 0.209<br>0.402<br>0.227<br>0.174<br>0.168<br>0.166<br>0.168<br>0.157<br>0.153<br>0.148 | | 1 |
| Tags | b | c | f | m | o | p | v | Average |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | DevelopmentSet | | | | | | | | | | Methods | COCO |
| --- | --- |
| B-1B-2B-3B-4MC | |
| NIC<br>m-RNN<br>Hard-Attention<br>ATT<br>Att-CNN+LSTM | 0.6660.4510.3040.203−−<br>0.670.490.350.25−−<br>0.7180.5040.3570.2500.230−<br>0.7090.5370.4020.3040.243−<br>0.740.560.420.310.260.94 |
| LSTM-R<br>LSTM-T<br>LSTM-RT<br>LSTM-RT2 | 0.6980.5250.3900.2920.2380.889<br>0.7160.5460.4110.3120.2500.952<br>0.7240.5550.4190.3160.2520.970<br>0.7300.5680.4300.3220.2490.977 |
| SCN-LSTM<br>SCN-LSTMEnsembleof5 | 0.7280.5660.4330.3300.2571.012<br>0.7410.5780.4440.3410.2611.041 | | 0 |
| Tags | b | c | f | m | o | p | v | Average |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | DevelopmentSet | | | | | | | |
| GMM(DCASEbaseline)<br>Chunk-SVM<br>Frame-SVM<br>Yun-MFCC-GMM<br>Cakir-MFCC-CNN<br>Lidy-CQT-CNN*<br>MFCC-DNN<br>MBK-DNN<br>ProposedsDAE-DNN<br>ProposedaDAE-DNN | 0.074<br>0.464<br>0.205<br>0.074<br>0.070<br>-<br>0.078<br>0.067<br>0.068<br>0.067 | 0.225<br>0.438<br>0.199<br>0.165<br>0.210<br>-<br>0.145<br>0.142<br>0.134<br>0.124 | 0.289<br>0.430<br>0.284<br>0.249<br>0.250<br>-<br>0.230<br>0.206<br>0.206<br>0.202 | 0.269<br>0.470<br>0.390<br>0.216<br>0.150<br>-<br>0.126<br>0.102<br>0.087<br>0.092 | 0.290<br>0.524<br>0.361<br>0.278<br>0.260<br>-<br>0.268<br>0.256<br>0.238<br>0.231 | 0.248<br>0.518<br>0.308<br>0.210<br>0.210<br>-<br>0.183<br>0.148<br>0.146<br>0.143 | 0.050<br>0.274<br>0.090<br>0.039<br>0.050<br>-<br>0.029<br>0.025<br>0.023<br>0.023 | 0.206<br>0.445<br>0.263<br>0.176<br>0.171<br>-<br>0.151<br>0.135<br>0.129<br>0.126 | | | | EvaluationSet | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| GMM(DCASEbaseline)<br>Chunk-SVM<br>Frame-SVM<br>Yun-MFCC-GMM<br>Cakir-MFCC-CNN<br>Lidy-CQT-CNN<br>MFCC-DNN<br>MBK-DNN<br>ProposedsDAE-DNN<br>ProposedaDAE-DNN | 0.117<br>0.032<br>0.129<br>0.032<br>0.022<br>0.032<br>0.032<br>0.032<br>0.023<br>0.014 | 0.191<br>0.385<br>0.166<br>0.177<br>0.25<br>0.21<br>0.204<br>0.184<br>0.184<br>0.210 | 0.314<br>0.407<br>0.241<br>0.179<br>0.25<br>0.214<br>0.21<br>0.204<br>0.203<br>0.207 | 0.326<br>0.472<br>0.353<br>0.253<br>0.159<br>0.182<br>0.209<br>0.172<br>0.165<br>0.149 | 0.249<br>0.536<br>0.336<br>0.266<br>0.258<br>0.32<br>0.288<br>0.272<br>0.280<br>0.256 | 0.212<br>0.506<br>0.268<br>0.207<br>0.208<br>0.168<br>0.194<br>0.179<br>0.174<br>0.175 | 0.056<br>0.473<br>0.093<br>0.102<br>0.027<br>0.035<br>0.039<br>0.053<br>0.041<br>0.022 | 0.209<br>0.402<br>0.227<br>0.174<br>0.168<br>0.166<br>0.168<br>0.157<br>0.153<br>0.148 | | 1 |
| Tags | b | c | f | m | o | p | v | Average |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | DevelopmentSet | | | | | | | |
| GMM(DCASEbaseline)<br>Chunk-SVM<br>Frame-SVM<br>Yun-MFCC-GMM<br>Cakir-MFCC-CNN<br>Lidy-CQT-CNN*<br>MFCC-DNN<br>MBK-DNN<br>ProposedsDAE-DNN<br>ProposedaDAE-DNN | 0.074<br>0.464<br>0.205<br>0.074<br>0.070<br>-<br>0.078<br>0.067<br>0.068<br>0.067 | 0.225<br>0.438<br>0.199<br>0.165<br>0.210<br>-<br>0.145<br>0.142<br>0.134<br>0.124 | 0.289<br>0.430<br>0.284<br>0.249<br>0.250<br>-<br>0.230<br>0.206<br>0.206<br>0.202 | 0.269<br>0.470<br>0.390<br>0.216<br>0.150<br>-<br>0.126<br>0.102<br>0.087<br>0.092 | 0.290<br>0.524<br>0.361<br>0.278<br>0.260<br>-<br>0.268<br>0.256<br>0.238<br>0.231 | 0.248<br>0.518<br>0.308<br>0.210<br>0.210<br>-<br>0.183<br>0.148<br>0.146<br>0.143 | 0.050<br>0.274<br>0.090<br>0.039<br>0.050<br>-<br>0.029<br>0.025<br>0.023<br>0.023 | 0.206<br>0.445<br>0.263<br>0.176<br>0.171<br>-<br>0.151<br>0.135<br>0.129<br>0.126 | | | LSTM-R<br>LSTM-T<br>LSTM-RT<br>LSTM-RT2 | 0.6980.5250.3900.2920.2380.889<br>0.7160.5460.4110.3120.2500.952<br>0.7240.5550.4190.3160.2520.970<br>0.7300.5680.4300.3220.2490.977 |
| --- | --- |
| SCN-LSTM<br>SCN-LSTMEnsembleof5 | 0.7280.5660.4330.3300.2571.012<br>0.7410.5780.4440.3410.2611.041 | | 0 |
| M | init.MSE | conv.MSE | gain(dB) | steps |
| --- | --- | --- | --- | --- |
| Constellation(680×576) | | | | |
| 64 | 2.08·10 | 7.86·10 | 4.23 | 18 |
| 128 | 9.99·10 | 3.05·10 | 5.15 | 14 |
| 256 | 4.72·10 | 7.25·10 | 8.14 | 10 |
| Trellis(680×576) | | | | | | | 64 | 8.56·10 | 3.98·10 | 3.33 | 18 |
| --- | --- | --- | --- | --- |
| 128 | 7.45·10 | 2.00·10 | 5.71 | 13 |
| 256 | 3.39·10 | 6.51·10 | 7.17 | 8 |
| BlockDiagram(529×1123) | | | | |
| 64 | 8.38·10 | 7.02·10 | 0.77 | 7 |
| 128 | 5.79·10 | 3.97·10 | 1.64 | 6 |
| 256 | 2.79·10 | 1.66·10 | 2.25 | 5 |
| 512 | 1.23·10 | 4.71·10 | 4.17 | 5 |
| SampleText(512×512) | | | | |
| 64 | 6.40·10 | 4.59·10 | 1.44 | 10 |
| 128 | 5.46·10 | 2.99·10 | 2.62 | 7 |
| 256 | 3.39·10 | 1.41·10 | 3.81 | 4 | | 1 |
| M | init.MSE | conv.MSE | gain(dB) | steps |
| --- | --- | --- | --- | --- |
| Constellation(680×576) | | | | |
| 64 | 2.08·10 | 7.86·10 | 4.23 | 18 |
| 128 | 9.99·10 | 3.05·10 | 5.15 | 14 |
| 256 | 4.72·10 | 7.25·10 | 8.14 | 10 |
| Trellis(680×576) | | | | | | | | N | PSNR(dB) | RelErr | Iter | Time(s) |
| --- | --- | --- | --- | --- | --- |
| Lena | 1 | 28.83 | 0.0827 | 16 | 0.5 |
| 5 | 29.40 | 0.0774 | 23 | 1.2 | |
| 20 | 29.45 | 0.0769 | 26 | 3.1 | |
| 200 | 29.45 | 0.0769 | 36 | 35.5 | |
| 1000 | 29.45 | 0.0769 | 36 | 199.1 | |
| Barbara | 1 | 27.49 | 0.0790 | 9 | 0.3 |
| 5 | 27.80 | 0.0762 | 19 | 1.0 | |
| 20 | 27.82 | 0.0761 | 20 | 2.5 | |
| 200 | 27.82 | 0.0761 | 20 | 20.4 | |
| 1000 | 27.82 | 0.0761 | 20 | 119.2 | | | 0 |
| M | init.MSE | conv.MSE | gain(dB) | steps |
| --- | --- | --- | --- | --- |
| Constellation(680×576) | | | | |
| 64 | 2.08·10 | 7.86·10 | 4.23 | 18 |
| 128 | 9.99·10 | 3.05·10 | 5.15 | 14 |
| 256 | 4.72·10 | 7.25·10 | 8.14 | 10 |
| Trellis(680×576) | | | | |
| 64 | 8.56·10 | 3.98·10 | 3.33 | 18 |
| 128 | 7.45·10 | 2.00·10 | 5.71 | 13 |
| 256 | 3.39·10 | 6.51·10 | 7.17 | 8 |
| BlockDiagram(529×1123) | | | | |
| 64 | 8.38·10 | 7.02·10 | 0.77 | 7 |
| 128 | 5.79·10 | 3.97·10 | 1.64 | 6 | | | 256 | 2.79·10 | 1.66·10 | 2.25 | 5 |
| --- | --- | --- | --- | --- |
| 512 | 1.23·10 | 4.71·10 | 4.17 | 5 |
| SampleText(512×512) | | | | |
| 64 | 6.40·10 | 4.59·10 | 1.44 | 10 |
| 128 | 5.46·10 | 2.99·10 | 2.62 | 7 |
| 256 | 3.39·10 | 1.41·10 | 3.81 | 4 | | 1 |
| M | init.MSE | conv.MSE | gain(dB) | steps |
| --- | --- | --- | --- | --- |
| Constellation(680×576) | | | | |
| 64 | 2.08·10 | 7.86·10 | 4.23 | 18 |
| 128 | 9.99·10 | 3.05·10 | 5.15 | 14 |
| 256 | 4.72·10 | 7.25·10 | 8.14 | 10 |
| Trellis(680×576) | | | | |
| 64 | 8.56·10 | 3.98·10 | 3.33 | 18 |
| 128 | 7.45·10 | 2.00·10 | 5.71 | 13 |
| 256 | 3.39·10 | 6.51·10 | 7.17 | 8 |
| BlockDiagram(529×1123) | | | | |
| 64 | 8.38·10 | 7.02·10 | 0.77 | 7 |
| 128 | 5.79·10 | 3.97·10 | 1.64 | 6 | | | 200 | 29.45 | 0.0769 | 36 | 35.5 | |
| --- | --- | --- | --- | --- | --- |
| 1000 | 29.45 | 0.0769 | 36 | 199.1 | |
| Barbara | 1 | 27.49 | 0.0790 | 9 | 0.3 |
| 5 | 27.80 | 0.0762 | 19 | 1.0 | |
| 20 | 27.82 | 0.0761 | 20 | 2.5 | |
| 200 | 27.82 | 0.0761 | 20 | 20.4 | |
| 1000 | 27.82 | 0.0761 | 20 | 119.2 | | | 0 |
| | scale | CT-SRCNN-13 | Trim-S1 | Trim-S2 | Trim-S3 |
| --- | --- | --- | --- | --- | --- |
| Param. | - | 149,344 | 137,424 | 123,600 | 109,776 | | | Set5 | 2<br>3<br>4 | 37.61/0.9590/0.019<br>33.76/0.9219/0.019<br>31.49/0.8849/0.020 | 37.61/0.9591/0.018<br>33.77/0.9219/0.018<br>31.49/0.8849/0.018 | 37.60/0.9590/0.016<br>33.75/0.9218/0.016<br>31.49/0.8848/0.017 | 37.59/0.9589/0.015<br>33.74/0.9216/0.014<br>31.48/0.8847/0.017 |
| --- | --- | --- | --- | --- | --- |
| Set14 | 2<br>3<br>4 | 33.37/0.9131/0.032<br>29.91/0.8324/0.034<br>28.20/0.7680/0.032 | 33.38/0.9130/0.030<br>29.90/0.8326/0.031<br>28.20/0.7681/0.029 | 33.36/0.9130/0.028<br>29.89/0.8324/0.028<br>28.19/0.7679/0.027 | 33.36/0.9128/0.025<br>29.88/0.8322/0.026<br>28.18/0.7677/0.025 |
| BSD | 2<br>3<br>4 | 31.87/0.8962/0.020<br>28.80/0.7980/0.021<br>27.30/0.7253/0.020 | 31.86/0.8964/0.018<br>28.81/0.7980/0.019<br>27.30/0.7254/0.018 | 31.86/0.8962/0.017<br>28.80/0.7979/0.017<br>27.30/0.7251/0.016 | 31.84/0.8960/0.015<br>28.78/0.7978/0.016<br>27.28/0.7249/0.015 | | 1 |
| | scale | CT-SRCNN-13 | Trim-S1 | Trim-S2 | Trim-S3 |
| --- | --- | --- | --- | --- | --- |
| Param. | - | 149,344 | 137,424 | 123,600 | 109,776 | | | nc | Methods | LRC | SRC | BSRC | CRC | MRSRC | MRBSRC | MRCRC |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 16 | Mean<br>Min<br>Max | 71.67<br>69.90<br>73.03<br>73.66<br>72.78<br>74.59<br>74.38<br>73.68<br>75.08<br>74.88<br>73.77<br>75.66 | 65.94<br>64.80<br>66.94<br>67.17<br>65.87<br>67.93<br>67.60<br>66.28<br>68.59<br>68.22<br>67.68<br>69.16 | 58.50<br>56.50<br>59.62<br>56.55<br>54.77<br>58.39<br>55.10<br>53.54<br>56.66<br>53.17<br>52.47<br>53.95 | 59.96<br>58.63<br>61.43<br>62.55<br>60.36<br>63.98<br>63.03<br>62.17<br>64.47<br>63.62<br>62.99<br>64.80 | 81.88<br>80.35<br>82.98<br>85.01<br>83.72<br>85.94<br>87.68<br>86.60<br>88.73<br>89.35<br>88.73<br>90.05 | 76.77<br>75.08<br>77.96<br>79.67<br>77.88<br>81.25<br>82.84<br>82.07<br>85.03<br>85.21<br>84.05<br>85.94 | 81.95<br>81.25<br>82.89<br>82.53<br>81.17<br>83.47<br>82.86<br>82.07<br>83.80<br>83.08<br>82.24<br>84.05 |
| 20 | Mean<br>Min<br>Max | | | | | | | |
| 24 | Mean<br>Min<br>Max | | | | | | | |
| 28 | Mean<br>Min<br>Max | | | | | | | | | 0 |
| | scale | CT-SRCNN-13 | Trim-S1 | Trim-S2 | Trim-S3 |
| --- | --- | --- | --- | --- | --- |
| Param. | - | 149,344 | 137,424 | 123,600 | 109,776 |
| Set5 | 2<br>3<br>4 | 37.61/0.9590/0.019<br>33.76/0.9219/0.019<br>31.49/0.8849/0.020 | 37.61/0.9591/0.018<br>33.77/0.9219/0.018<br>31.49/0.8849/0.018 | 37.60/0.9590/0.016<br>33.75/0.9218/0.016<br>31.49/0.8848/0.017 | 37.59/0.9589/0.015<br>33.74/0.9216/0.014<br>31.48/0.8847/0.017 | | | Set14 | 2<br>3<br>4 | 33.37/0.9131/0.032<br>29.91/0.8324/0.034<br>28.20/0.7680/0.032 | 33.38/0.9130/0.030<br>29.90/0.8326/0.031<br>28.20/0.7681/0.029 | 33.36/0.9130/0.028<br>29.89/0.8324/0.028<br>28.19/0.7679/0.027 | 33.36/0.9128/0.025<br>29.88/0.8322/0.026<br>28.18/0.7677/0.025 |
| --- | --- | --- | --- | --- | --- |
| BSD | 2<br>3<br>4 | 31.87/0.8962/0.020<br>28.80/0.7980/0.021<br>27.30/0.7253/0.020 | 31.86/0.8964/0.018<br>28.81/0.7980/0.019<br>27.30/0.7254/0.018 | 31.86/0.8962/0.017<br>28.80/0.7979/0.017<br>27.30/0.7251/0.016 | 31.84/0.8960/0.015<br>28.78/0.7978/0.016<br>27.28/0.7249/0.015 | | 1 |
| | scale | CT-SRCNN-13 | Trim-S1 | Trim-S2 | Trim-S3 |
| --- | --- | --- | --- | --- | --- |
| Param. | - | 149,344 | 137,424 | 123,600 | 109,776 |
| Set5 | 2<br>3<br>4 | 37.61/0.9590/0.019<br>33.76/0.9219/0.019<br>31.49/0.8849/0.020 | 37.61/0.9591/0.018<br>33.77/0.9219/0.018<br>31.49/0.8849/0.018 | 37.60/0.9590/0.016<br>33.75/0.9218/0.016<br>31.49/0.8848/0.017 | 37.59/0.9589/0.015<br>33.74/0.9216/0.014<br>31.48/0.8847/0.017 | | | 24 | Mean<br>Min<br>Max |
| --- | --- |
| 28 | Mean<br>Min<br>Max | | 0 |
| Algorithm | Strong<br>PRF | Weak<br>PRF |
| --- | --- | --- |
| Megvii-Image++ | 0.57480.39380.4674 | 0.49190.3370.4 |
| Stradvision-2 | 0.67920.32210.4370 | --- |
| Baseline-TextSpotter | 0.62210.24410.3506 | 0.24960.16560.1991 |
| StradVisionv1 | 0.28510.39770.3321 | --- |
| NJUText(Version3) | 0.4880.24510.3263 | --- |
| BeamsearchCUNI | 0.37830.15650.2214 | 0.33720.14010.1980 |
| Deep2Text-MO | 0.21340.13820.1677 | 0.21340.13820.1677 | | | Baseline(OpenCV+Tesseract) | 0.4090.08330.1384 | 0.32480.07370.1201 |
| --- | --- | --- |
| BeamsearchCUNI+S | 0.81080.07220.1326 | 0.05920.64740.1085 | | 1 |
| Algorithm | Strong<br>PRF | Weak<br>PRF |
| --- | --- | --- |
| Megvii-Image++ | 0.57480.39380.4674 | 0.49190.3370.4 |
| Stradvision-2 | 0.67920.32210.4370 | --- |
| Baseline-TextSpotter | 0.62210.24410.3506 | 0.24960.16560.1991 |
| StradVisionv1 | 0.28510.39770.3321 | --- |
| NJUText(Version3) | 0.4880.24510.3263 | --- |
| BeamsearchCUNI | 0.37830.15650.2214 | 0.33720.14010.1980 |
| Deep2Text-MO | 0.21340.13820.1677 | 0.21340.13820.1677 | | | Algorithm | Strong<br>PRF | Weak<br>PRF |
| --- | --- | --- |
| Megvii-Image++ | 0.92530.79210.8535 | 0.90590.79000.8440 |
| Deep2TextII+ | 0.92270.73920.8208 | 0.89160.73780.8075 |
| Stradvision-2 | 0.83930.73020.7810 | 0.77610.70860.7408 |
| Deep2TextII-1 | 0.80970.73370.7698 | 0.80970.73370.7698 |
| StradVision-1 | 0.84720.70170.7676 | 0.78900.67870.7297 |
| Deep2TextI | 0.83460.61400.7075 | 0.83460.61400.7075 |
| PAL(v1.5) | 0.65220.61540.6333 | --- |
| NJUText(Version3) | 0.60120.41310.4897 | --- |
| BaselineOpenCV3.0+Tesseract | 0.46480.37130.4128 | 0.47200.32820.3872 | | 0 |
| Algorithm | Strong<br>PRF | Weak<br>PRF |
| --- | --- | --- |
| Megvii-Image++ | 0.57480.39380.4674 | 0.49190.3370.4 |
| Stradvision-2 | 0.67920.32210.4370 | --- |
| Baseline-TextSpotter | 0.62210.24410.3506 | 0.24960.16560.1991 |
| StradVisionv1 | 0.28510.39770.3321 | --- | | | NJUText(Version3) | 0.4880.24510.3263 | --- |
| --- | --- | --- |
| BeamsearchCUNI | 0.37830.15650.2214 | 0.33720.14010.1980 |
| Deep2Text-MO | 0.21340.13820.1677 | 0.21340.13820.1677 |
| Baseline(OpenCV+Tesseract) | 0.4090.08330.1384 | 0.32480.07370.1201 |
| BeamsearchCUNI+S | 0.81080.07220.1326 | 0.05920.64740.1085 | | 1 |
| Algorithm | Strong<br>PRF | Weak<br>PRF |
| --- | --- | --- |
| Megvii-Image++ | 0.57480.39380.4674 | 0.49190.3370.4 |
| Stradvision-2 | 0.67920.32210.4370 | --- |
| Baseline-TextSpotter | 0.62210.24410.3506 | 0.24960.16560.1991 |
| StradVisionv1 | 0.28510.39770.3321 | --- | | | PAL(v1.5) | 0.65220.61540.6333 | --- |
| --- | --- | --- |
| NJUText(Version3) | 0.60120.41310.4897 | --- |
| BaselineOpenCV3.0+Tesseract | 0.46480.37130.4128 | 0.47200.32820.3872 | | 0 |
| | Mean | 1quartile | median | 3quartile |
| --- | --- | --- | --- | --- |
| SRSWOR | 2.531 | 1.322 | 1.982 | 3.351 |
| SYS | 2.625 | 1.355 | 2.412 | 3.087 |
| PROP | 1.060 | 0.8498 | 1.017 | 1.234 | | | u-OPTIM | 1.000 | 0.7946 | 0.9552 | 1.142 |
| --- | --- | --- | --- | --- |
| POST | 1.041 | 0.8275 | 0.9785 | 1.203 |
| PPS | 7.1410 | 2.7880 | 6.1370 | 9.5600 | | 1 |
| | Mean | 1quartile | median | 3quartile |
| --- | --- | --- | --- | --- |
| SRSWOR | 2.531 | 1.322 | 1.982 | 3.351 |
| SYS | 2.625 | 1.355 | 2.412 | 3.087 |
| PROP | 1.060 | 0.8498 | 1.017 | 1.234 | | | Pr.No. | Median | Median | Median | LLEvals |
| --- | --- | --- | --- | --- |
| ULAccuracy | LLAccuracy | LLCalls | | |
| SMD1 | 0.000247 | 0.000143 | 4686 | 995.52 |
| SMD2 | 0.000146 | 0.000169 | 3866 | 921.23 |
| SMD3 | 0.000442 | 0.000155 | 4494 | 1110.03 |
| SMD4 | 0.000526 | 0.000171 | 3250 | 749.48 |
| SMD5 | 0.000011 | 0.000013 | 7404 | 1206.62 |
| SMD6 | 0.000745 | 0.000351 | 6874 | 1199.66 | | 0 |
| | Mean | 1quartile | median | 3quartile |
| --- | --- | --- | --- | --- |
| SRSWOR | 2.531 | 1.322 | 1.982 | 3.351 |
| SYS | 2.625 | 1.355 | 2.412 | 3.087 | | | PROP | 1.060 | 0.8498 | 1.017 | 1.234 |
| --- | --- | --- | --- | --- |
| u-OPTIM | 1.000 | 0.7946 | 0.9552 | 1.142 |
| POST | 1.041 | 0.8275 | 0.9785 | 1.203 |
| PPS | 7.1410 | 2.7880 | 6.1370 | 9.5600 | | 1 |
| | Mean | 1quartile | median | 3quartile |
| --- | --- | --- | --- | --- |
| SRSWOR | 2.531 | 1.322 | 1.982 | 3.351 |
| SYS | 2.625 | 1.355 | 2.412 | 3.087 | | | SMD3 | 0.000442 | 0.000155 | 4494 | 1110.03 |
| --- | --- | --- | --- | --- |
| SMD4 | 0.000526 | 0.000171 | 3250 | 749.48 |
| SMD5 | 0.000011 | 0.000013 | 7404 | 1206.62 |
| SMD6 | 0.000745 | 0.000351 | 6874 | 1199.66 | | 0 |
| | TheNumberofSpeakersinClusters | | |
| --- | --- | --- | --- |
| | min | max | avg | | | Cluster=5 | 23 | 126 | 55.4 |
| --- | --- | --- | --- |
| Cluster=10 | 14 | 57 | 27.7 |
| Cluster=20 | 7 | 23 | 13.9 | | 1 |
| | TheNumberofSpeakersinClusters | | |
| --- | --- | --- | --- |
| | min | max | avg | | | Testset | Duration | Nb.speakers | Nb.words |
| --- | --- | --- | --- |
| Hub5’00SWB | 2.1h | 40 | 21.4K |
| Hub5’00CH | 1.6h | 40 | 21.6K |
| RT’02 | 6.4h | 120 | 64.0K |
| RT’03 | 7.2h | 144 | 76.0K |
| RT’04 | 3.4h | 72 | 36.7K |
| DEV’04f | 3.2h | 72 | 37.8K | | 0 |
| | TheNumberofSpeakersinClusters | | |
| --- | --- | --- | --- |
| | min | max | avg |
| Cluster=5 | 23 | 126 | 55.4 | | | Cluster=10 | 14 | 57 | 27.7 |
| --- | --- | --- | --- |
| Cluster=20 | 7 | 23 | 13.9 | | 1 |
| | TheNumberofSpeakersinClusters | | |
| --- | --- | --- | --- |
| | min | max | avg |
| Cluster=5 | 23 | 126 | 55.4 | | | RT’02 | 6.4h | 120 | 64.0K |
| --- | --- | --- | --- |
| RT’03 | 7.2h | 144 | 76.0K |
| RT’04 | 3.4h | 72 | 36.7K |
| DEV’04f | 3.2h | 72 | 37.8K | | 0 |
| Superclass | Intermediateclass |
| --- | --- |
| Naturalobject | Fruit(9) |
| Plant | Vegetable(9) |
| Flower(3) | |
| Animal | Dog(14) |
| Cat(5) | |
| Fish(10) | |
| Bird(10) | |
| Artifact | Instrument(10) | | | Vehicle(10) |
| --- |
| Furniture(10) |
| Construction(10) | | 1 |
| Superclass | Intermediateclass |
| --- | --- |
| Naturalobject | Fruit(9) |
| Plant | Vegetable(9) |
| Flower(3) | |
| Animal | Dog(14) |
| Cat(5) | |
| Fish(10) | |
| Bird(10) | |
| Artifact | Instrument(10) | | | Class | Flow/RGBaccuracyratio |
| --- | --- |
| ‘rockscissorspaper’ | 5.3 |
| ‘swordfighting’ | 3.1 |
| ‘robotdancing’ | 3.1 |
| ‘airdrumming’ | 2.8 |
| ‘exercisingarm’ | 2.5 |
| ‘makingacake’ | 0.1 |
| ‘cookingsausages’ | 0.1 |
| ‘sniffing’ | 0.1 |
| ‘eatingcake’ | 0.0 |
| ‘makingasandwich’ | 0.0 | | 0 |
| Superclass | Intermediateclass |
| --- | --- |
| Naturalobject | Fruit(9) |
| Plant | Vegetable(9) |
| Flower(3) | |
| Animal | Dog(14) |
| Cat(5) | |
| Fish(10) | |
| Bird(10) | |
| Artifact | Instrument(10) | | | Vehicle(10) |
| --- |
| Furniture(10) |
| Construction(10) | | 1 |
| Superclass | Intermediateclass |
| --- | --- |
| Naturalobject | Fruit(9) |
| Plant | Vegetable(9) |
| Flower(3) | |
| Animal | Dog(14) |
| Cat(5) | |
| Fish(10) | |
| Bird(10) | |
| Artifact | Instrument(10) | | | ‘sniffing’ | 0.1 |
| --- | --- |
| ‘eatingcake’ | 0.0 |
| ‘makingasandwich’ | 0.0 | | 0 |
| | 12cores | 60cores | 144cores | 300core | 600cores | 1200cores |
| --- | --- | --- | --- | --- | --- | --- |
| mincores=12<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO | | | | | | |
| mincores=60<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO | | | | | | | | | mincores=144<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |
| --- |
| mincores=300<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO | | 1 |
| | 12cores | 60cores | 144cores | 300core | 600cores | 1200cores |
| --- | --- | --- | --- | --- | --- | --- |
| mincores=12<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO | | | | | | |
| mincores=60<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO | | | | | | | | | | 12 | 24 | 60 | 144 | 300 | 600 | 1200 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| mincores1<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO | | | | | | | |
| mincores=12<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO | | | | | | | |
| mincores=24<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO | | | | | | | |
| mincores=60<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO | | | | | | | |
| mincores=144<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO | | | | | | | |
| mincores=300<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO | | | | | | | |
| mincores=600<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO | | | | | | | | | 0 |
| | 12cores | 60cores | 144cores | 300core | 600cores | 1200cores |
| --- | --- | --- | --- | --- | --- | --- |
| mincores=12<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO | | | | | | |
| mincores=60<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO | | | | | | | | | mincores=144<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |
| --- |
| mincores=300<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO | | 1 |
| | 12cores | 60cores | 144cores | 300core | 600cores | 1200cores |
| --- | --- | --- | --- | --- | --- | --- |
| mincores=12<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO | | | | | | |
| mincores=60<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO | | | | | | | | | mincores=300<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |
| --- |
| mincores=600<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO | | 0 |
| Game | Board | Move<br>Rule | Army<br>Size | d(B,R) | Lower<br>Bound(??) | Shortest<br>Game |
| --- | --- | --- | --- | --- | --- | --- |
| ChineseCheckers | 9×9 | 6-move | 10 | 10 | 27 | 30 |
| ChineseCheckers(15man) | 9×9 | 6-move | 15 | 8 | 35 | 36 |
| Halma | 16×16 | 8-move | 19 | 10 | 45 | Unknown | | | Grasshopper | 8×8 | 8-move | 10 | 4 | 21 | 24 |
| --- | --- | --- | --- | --- | --- | --- |
| ChineseCheckers(8-move) | 9×9 | 8-move | 10 | 5 | 22 | 24 | | 1 |
| Game | Board | Move<br>Rule | Army<br>Size | d(B,R) | Lower<br>Bound(??) | Shortest<br>Game |
| --- | --- | --- | --- | --- | --- | --- |
| ChineseCheckers | 9×9 | 6-move | 10 | 10 | 27 | 30 |
| ChineseCheckers(15man) | 9×9 | 6-move | 15 | 8 | 35 | 36 |
| Halma | 16×16 | 8-move | 19 | 10 | 45 | Unknown | | | Problem | Configuration | #Men | Board | Shortestsolutionunder<br>4-move6-move8-move | | |
| --- | --- | --- | --- | --- | --- | --- |
| #1 | Triangle | 6 | 9×9 | 25 | 23 | 16 |
| #2 | Triangle | 10 | 9×9 | 30 | 27(Fig??) | 20 |
| #3 | Triangle(jumpsonly) | 10 | 9×9 | 46 | 35(Fig??) | 21 |
| #4 | Triangle | 15 | 9×9 | 36† | 31†(Fig??) | 26† |
| #5 | Square | 4 | 9×9 | 15 | 15 | 12 |
| #6 | Square | 9 | 9×9 | 25 | 25 | 16(Fig??) |
| #7 | Checkersstart | 12 | Fig??b | 20 | 16 | 16 |
| †-MCCsearchdidnotterminate,ashortersolutionmaybepossible. | | | | | | | | 0 |
| Game | Board | Move<br>Rule | Army<br>Size | d(B,R) | Lower<br>Bound(??) | Shortest<br>Game |
| --- | --- | --- | --- | --- | --- | --- |
| ChineseCheckers | 9×9 | 6-move | 10 | 10 | 27 | 30 |
| ChineseCheckers(15man) | 9×9 | 6-move | 15 | 8 | 35 | 36 | | | Halma | 16×16 | 8-move | 19 | 10 | 45 | Unknown |
| --- | --- | --- | --- | --- | --- | --- |
| Grasshopper | 8×8 | 8-move | 10 | 4 | 21 | 24 |
| ChineseCheckers(8-move) | 9×9 | 8-move | 10 | 5 | 22 | 24 | | 1 |
| Game | Board | Move<br>Rule | Army<br>Size | d(B,R) | Lower<br>Bound(??) | Shortest<br>Game |
| --- | --- | --- | --- | --- | --- | --- |
| ChineseCheckers | 9×9 | 6-move | 10 | 10 | 27 | 30 |
| ChineseCheckers(15man) | 9×9 | 6-move | 15 | 8 | 35 | 36 | | | #2 | Triangle | 10 | 9×9 | 30 | 27(Fig??) | 20 |
| --- | --- | --- | --- | --- | --- | --- |
| #3 | Triangle(jumpsonly) | 10 | 9×9 | 46 | 35(Fig??) | 21 |
| #4 | Triangle | 15 | 9×9 | 36† | 31†(Fig??) | 26† |
| #5 | Square | 4 | 9×9 | 15 | 15 | 12 |
| #6 | Square | 9 | 9×9 | 25 | 25 | 16(Fig??) |
| #7 | Checkersstart | 12 | Fig??b | 20 | 16 | 16 |
| †-MCCsearchdidnotterminate,ashortersolutionmaybepossible. | | | | | | | | 0 |
| ComputeUnits | Memory | Storage | VMType |
| --- | --- | --- | --- |
| 1units | 1.875GB | 211.25GB | 1-1(1) |
| 4units | 7.5GB | 845GB | 1-2(2) |
| 8units | 15GB | 1690GB | 1-3(3) |
| 6.5units | 17.1GB | 422.5GB | 2-1(4) | | | 13units | 34.2GB | 845GB | 2-2(5) |
| --- | --- | --- | --- |
| 26units | 68.4GB | 1690GB | 2-3(6) |
| 5units | 1.875GB | 422.5GB | 3-1(7) |
| 20units | 7GB | 1690GB | 3-2(8) | | 1 |
| ComputeUnits | Memory | Storage | VMType |
| --- | --- | --- | --- |
| 1units | 1.875GB | 211.25GB | 1-1(1) |
| 4units | 7.5GB | 845GB | 1-2(2) |
| 8units | 15GB | 1690GB | 1-3(3) |
| 6.5units | 17.1GB | 422.5GB | 2-1(4) | | | MEM(GB) | CPU(units) | BW(G) | VM |
| --- | --- | --- | --- |
| 1.7 | 1(1coresx1units) | 160 | 1-1(1) |
| 7.5 | 4(2coresx2units) | 850 | 1-2(2) |
| 15.0 | 8(4coresx2units) | 1690 | 1-3(3) |
| 17.1 | 6.5(2coresx3.25units) | 420 | 2-1(4) |
| 34.2 | 13(4coresx3.25units) | 850 | 2-2(5) |
| 68.4 | 26(8coresx3.25units) | 1690 | 2-3(6) |
| 1.7 | 5(2coresx2.5units) | 350 | 3-1(7) |
| 7.0 | 20(8coresx2.5units) | 1690 | 3-2(8) | | 0 |
| ComputeUnits | Memory | Storage | VMType |
| --- | --- | --- | --- |
| 1units | 1.875GB | 211.25GB | 1-1(1) |
| 4units | 7.5GB | 845GB | 1-2(2) |
| 8units | 15GB | 1690GB | 1-3(3) | | | 6.5units | 17.1GB | 422.5GB | 2-1(4) |
| --- | --- | --- | --- |
| 13units | 34.2GB | 845GB | 2-2(5) |
| 26units | 68.4GB | 1690GB | 2-3(6) |
| 5units | 1.875GB | 422.5GB | 3-1(7) |
| 20units | 7GB | 1690GB | 3-2(8) | | 1 |
| ComputeUnits | Memory | Storage | VMType |
| --- | --- | --- | --- |
| 1units | 1.875GB | 211.25GB | 1-1(1) |
| 4units | 7.5GB | 845GB | 1-2(2) |
| 8units | 15GB | 1690GB | 1-3(3) | | | 68.4 | 26(8coresx3.25units) | 1690 | 2-3(6) |
| --- | --- | --- | --- |
| 1.7 | 5(2coresx2.5units) | 350 | 3-1(7) |
| 7.0 | 20(8coresx2.5units) | 1690 | 3-2(8) | | 0 |
| Features | OnClaim | OnTheme | Irrelevant |
| --- | --- | --- | --- |
| Title/Claimreview | 0.24(91) | 0.23(99) | 0.52(202) | | | PageContent | 0.25(128) | 0.30(188) | 0.43(219) |
| --- | --- | --- | --- |
| Topics | 0.10(67) | 0.25(153) | 0.63(310) |
| Thematictopics | 0.11(65) | 0.35(182) | 0.53(257) |
| Allfeatures | 0.23(130) | 0.41(232) | 0.35(198) | | 1 |
| Features | OnClaim | OnTheme | Irrelevant |
| --- | --- | --- | --- |
| Title/Claimreview | 0.24(91) | 0.23(99) | 0.52(202) | | | Features | OnClaimRecall |
| --- | --- |
| Title/Claimreview | 0.72 |
| PageContent | 0.85 |
| Topicmatch | 0.62 |
| Thematictopicmatch | 0.55 |
| Allfeatures | 0.88 | | 0 |
| Features | OnClaim | OnTheme | Irrelevant |
| --- | --- | --- | --- |
| Title/Claimreview | 0.24(91) | 0.23(99) | 0.52(202) |
| PageContent | 0.25(128) | 0.30(188) | 0.43(219) | | | Topics | 0.10(67) | 0.25(153) | 0.63(310) |
| --- | --- | --- | --- |
| Thematictopics | 0.11(65) | 0.35(182) | 0.53(257) |
| Allfeatures | 0.23(130) | 0.41(232) | 0.35(198) | | 1 |
| Features | OnClaim | OnTheme | Irrelevant |
| --- | --- | --- | --- |
| Title/Claimreview | 0.24(91) | 0.23(99) | 0.52(202) |
| PageContent | 0.25(128) | 0.30(188) | 0.43(219) | | | Thematictopicmatch | 0.55 |
| --- | --- |
| Allfeatures | 0.88 | | 0 |
| Seqs | Kendo | PoznanStreet | UndoDancer |
| --- | --- | --- | --- |
| JBF | 32.53 | 32.78 | 31.90 |
| 3-POLY | 32.28 | 33.05 | 31.97 | | | 3-CG | 35.76 | 34.49 | 31.91 |
| --- | --- | --- | --- |
| 3-CHEB | 35.67 | 34.35 | 31.92 | | 1 |
| Seqs | Kendo | PoznanStreet | UndoDancer |
| --- | --- | --- | --- |
| JBF | 32.53 | 32.78 | 31.90 |
| 3-POLY | 32.28 | 33.05 | 31.97 | | | SequenceName | ViewA | ViewB | ViewV |
| --- | --- | --- | --- |
| PoznanStreet | 3 | 5 | 4 |
| PoznanHall2 | 5 | 7 | 6 |
| PoznanCarPark | 3 | 5 | 4 |
| BookArrival | 7 | 9 | 8 | | 0 |
| Seqs | Kendo | PoznanStreet | UndoDancer |
| --- | --- | --- | --- |
| JBF | 32.53 | 32.78 | 31.90 | | | 3-POLY | 32.28 | 33.05 | 31.97 |
| --- | --- | --- | --- |
| 3-CG | 35.76 | 34.49 | 31.91 |
| 3-CHEB | 35.67 | 34.35 | 31.92 | | 1 |
| Seqs | Kendo | PoznanStreet | UndoDancer |
| --- | --- | --- | --- |
| JBF | 32.53 | 32.78 | 31.90 | | | PoznanHall2 | 5 | 7 | 6 |
| --- | --- | --- | --- |
| PoznanCarPark | 3 | 5 | 4 |
| BookArrival | 7 | 9 | 8 | | 0 |
| H |
| --- |
| L |
| L |
| M |
| H |
| H |
| H |
| L |
| L |
| L | | | L |
| --- |
| L |
| L |
| 0.69 | | 1 |
| H |
| --- |
| L |
| L |
| M |
| H |
| H |
| H |
| L |
| L |
| L | | | Data(hrs) | AM | LM | SWB | CH |
| --- | --- | --- | --- | --- |
| 300 | A2W | - | 20.8 | 30.4 |
| 300 | PhoneCTC | Small | 14.5 | 25.1 |
| 2000 | A2W | - | 13.0 | 18.8 |
| 2000 | PhoneCTC | Big | 9.6 | 16.0 | | 0 |
| H |
| --- |
| L |
| L |
| M |
| H |
| H |
| H | | | L |
| --- |
| L |
| L |
| L |
| L |
| L |
| 0.69 | | 1 |
| H |
| --- |
| L |
| L |
| M |
| H |
| H |
| H | | | 2000 | A2W | - | 13.0 | 18.8 |
| --- | --- | --- | --- | --- |
| 2000 | PhoneCTC | Big | 9.6 | 16.0 | | 0 |
| Classifier | Accuracy | Precision | Recall |
| --- | --- | --- | --- |
| BaggingwithJ48 | 76.59 | 75.61 | 76.35 |
| BaggingwithREPTree | 74.25 | 72.78 | 73.96 | | | BaggingwithRF | 79.48 | 78.60 | 79.27 |
| --- | --- | --- | --- |
| BoostingwithJ48 | 76.76 | 76.18 | 76.58 |
| BoostingwithREPTree | 74.57 | 73.98 | 74.37 |
| BoostingwithRF | 79.10 | 78.32 | 78.93 | | 1 |
| Classifier | Accuracy | Precision | Recall |
| --- | --- | --- | --- |
| BaggingwithJ48 | 76.59 | 75.61 | 76.35 |
| BaggingwithREPTree | 74.25 | 72.78 | 73.96 | | | | | Precision | Recall | F1 |
| --- | --- | --- | --- | --- |
| Partial | GS+noEP | 79.40 | 79.96 | 79.68 |
| GS+EP | 65.93 | 79.96 | 72.27 | |
| Auto+EP | 64.40 | 51.68 | 57.34 | |
| Exact | GS+noEP | 65.72 | 66.19 | 65.95 |
| GS+EP | 54.57 | 66.19 | 59.82 | |
| Auto+EP | 47.83 | 38.39 | 42.59 | | | 0 |
| Classifier | Accuracy | Precision | Recall |
| --- | --- | --- | --- |
| BaggingwithJ48 | 76.59 | 75.61 | 76.35 |
| BaggingwithREPTree | 74.25 | 72.78 | 73.96 | | | BaggingwithRF | 79.48 | 78.60 | 79.27 |
| --- | --- | --- | --- |
| BoostingwithJ48 | 76.76 | 76.18 | 76.58 |
| BoostingwithREPTree | 74.57 | 73.98 | 74.37 |
| BoostingwithRF | 79.10 | 78.32 | 78.93 | | 1 |
| Classifier | Accuracy | Precision | Recall |
| --- | --- | --- | --- |
| BaggingwithJ48 | 76.59 | 75.61 | 76.35 |
| BaggingwithREPTree | 74.25 | 72.78 | 73.96 | | | GS+EP | 54.57 | 66.19 | 59.82 |
| --- | --- | --- | --- |
| Auto+EP | 47.83 | 38.39 | 42.59 | | 0 |
| NAS<br>benchmark | Numberof<br>processes | Ckpt<br>time(s) | Ckpt<br>size(MB) |
| --- | --- | --- | --- |
| LU.E | 128×4 | 70.8 | 350 | | | LU.E | 64×8 | 136.6 | 356 |
| --- | --- | --- | --- |
| LU.E | 32×16 | 222.6 | 355 |
| LU.E | 128×16 | 70.2 | 117 | | 1 |
| NAS<br>benchmark | Numberof<br>processes | Ckpt<br>time(s) | Ckpt<br>size(MB) |
| --- | --- | --- | --- |
| LU.E | 128×4 | 70.8 | 350 | | | Num.of<br>processes | Checkpoint<br>time(s) | Restart<br>time(s) | Totalckpt<br>size(TB) | Write(ckpt)<br>bandwidth(GB/s) |
| --- | --- | --- | --- | --- |
| 8192 | 136.1 | 215.3 | 9.4 | 69 |
| 16368 | 367.4 | 706.6 | 19 | 52 |
| 1<br>24000() | 634.8 | 1183.8 | 29 | 46 |
| 2<br>32752() | 652.8 | 2539.05 | 38 | 60 | | 0 |
| NAS<br>benchmark | Numberof<br>processes | Ckpt<br>time(s) | Ckpt<br>size(MB) |
| --- | --- | --- | --- |
| LU.E | 128×4 | 70.8 | 350 |
| LU.E | 64×8 | 136.6 | 356 | | | LU.E | 32×16 | 222.6 | 355 |
| --- | --- | --- | --- |
| LU.E | 128×16 | 70.2 | 117 | | 1 |
| NAS<br>benchmark | Numberof<br>processes | Ckpt<br>time(s) | Ckpt<br>size(MB) |
| --- | --- | --- | --- |
| LU.E | 128×4 | 70.8 | 350 |
| LU.E | 64×8 | 136.6 | 356 | | | 1<br>24000() | 634.8 | 1183.8 | 29 | 46 |
| --- | --- | --- | --- | --- |
| 2<br>32752() | 652.8 | 2539.05 | 38 | 60 | | 0 |
| Index | 27 | 31 | 54 | 62 | 77 | 91 | 108 | 124 | 153 | 156 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ |
| Index | 182 | 201 | 213 | 216 | 248 | 306 | 308 | 339 | 341 | 364 |
| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ |
| Index | 371 | 402 | 426 | 432 | 495 | 496 | 511 | 573 | 581 | 612 | | | SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Index | 616 | | | | | | | | | |
| SpectralComponent | γ | | | | | | | | | | | 1 |
| Index | 27 | 31 | 54 | 62 | 77 | 91 | 108 | 124 | 153 | 156 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ |
| Index | 182 | 201 | 213 | 216 | 248 | 306 | 308 | 339 | 341 | 364 |
| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ |
| Index | 371 | 402 | 426 | 432 | 495 | 496 | 511 | 573 | 581 | 612 | | | Index | 61 | 89 | 122 | 139 | 178 | 185 | 209 | 215 | 244 | 271 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ |
| Index | 278 | 325 | 356 | 370 | 395 | 418 | 430 | 433 | 461 | 488 |
| SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ |
| Index | 523 | 542 | 556 | 587 | 619 | 635 | 643 | 647 | 649 | 650 |
| SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ | | 0 |
| Index | 27 | 31 | 54 | 62 | 77 | 91 | 108 | 124 | 153 | 156 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ | | | Index | 182 | 201 | 213 | 216 | 248 | 306 | 308 | 339 | 341 | 364 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ |
| Index | 371 | 402 | 426 | 432 | 495 | 496 | 511 | 573 | 581 | 612 |
| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ |
| Index | 616 | | | | | | | | | |
| SpectralComponent | γ | | | | | | | | | | | 1 |
| Index | 27 | 31 | 54 | 62 | 77 | 91 | 108 | 124 | 153 | 156 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ | | | SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Index | 523 | 542 | 556 | 587 | 619 | 635 | 643 | 647 | 649 | 650 |
| SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ | | 0 |
| κ˜(L)G | No.ofItr. |
| --- | --- |
| 1.9538 | 585 |
| 30.5375 | 587 | | | 32.1103 | 587 |
| --- | --- |
| 27.1499 | 586 | | 1 |
| κ˜(L)G | No.ofItr. |
| --- | --- |
| 1.9538 | 585 |
| 30.5375 | 587 | | | Noisecoefficient | horizontal | vertical |
| --- | --- | --- |
| 0.01 | 1.2992 | 1.2739 |
| 0.03 | 1.5758 | 1.2661 |
| 0.05 | 2.0938 | 1.2753 |
| 0.07 | 2.3385 | 1.3668 | | 0 |
| κ˜(L)G | No.ofItr. |
| --- | --- |
| 1.9538 | 585 | | | 30.5375 | 587 |
| --- | --- |
| 32.1103 | 587 |
| 27.1499 | 586 | | 1 |
| κ˜(L)G | No.ofItr. |
| --- | --- |
| 1.9538 | 585 | | | 0.03 | 1.5758 | 1.2661 |
| --- | --- | --- |
| 0.05 | 2.0938 | 1.2753 |
| 0.07 | 2.3385 | 1.3668 | | 0 |
| EmojiEmbeddingModel | ρx100foreachCorpus | |
| --- | --- | --- |
| GoogleNews | Twitter | |
| (SenseDesc.) | 49.0 | 46.6 |
| (SenseLabel) | 76.0 | 70.2 | | | (SenseDef.) | 69.5 | 66.9 |
| --- | --- | --- |
| (SenseAll) | 71.2 | 67.7 | | 1 |
| EmojiEmbeddingModel | ρx100foreachCorpus | |
| --- | --- | --- |
| GoogleNews | Twitter | |
| (SenseDesc.) | 49.0 | 46.6 |
| (SenseLabel) | 76.0 | 70.2 | | | WordEmbeddingModel | Classificationaccuracyontestingdataset | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| N=12,920 | N=2,295 | N=2,186 | N=308 | | | | | |
| RF | SVM | RF | SVM | RF | SVM | RF | SVM | |
| GoogleNews+emoji2vec | 59.5 | 60.5 | 54.4 | 59.2 | 55.0 | 59.5 | 54.5 | 55.2 |
| GoogleNews+(SenseDesc.) | 58.7 | 61.9 | 50.6 | 55.0 | 49.7 | 55.3 | 45.4 | 50.0 |
| Twitter+(SenseDesc.) | 60.2 | 62.5 | 55.1 | 56.7 | 53.8 | 57.3 | 53.5 | 53.2 |
| GoogleNews+(SenseLabel) | 60.3 | 63.3 | 55.0 | 61.8 | 56.8 | 62.3 | 54.2 | 59.0 |
| Twitter+(SenseLabel) | 60.7 | 63.6 | 57.3 | 60.8 | 57.5 | 61.5 | 56.1 | 58.4 |
| GoogleNews+(SenseDef.) | 59.0 | 62.2 | 50.3 | 55.0 | 51.1 | 55.2 | 48.0 | 50.6 |
| Twitter+(SenseDef.) | 60.0 | 62.4 | 53.6 | 56.2 | 53.7 | 56.7 | 50.6 | 50.6 |
| GoogleNews+(SenseAll) | 59.1 | 62.2 | 50.8 | 55.1 | 50.2 | 55.3 | 50.0 | 50.6 |
| Twitter+(SenseAll) | 60.3 | 62.4 | 53.1 | 57.6 | 54.1 | 56.8 | 54.5 | 50.0 | | 0 |
| EmojiEmbeddingModel | ρx100foreachCorpus | |
| --- | --- | --- |
| GoogleNews | Twitter | |
| (SenseDesc.) | 49.0 | 46.6 | | | (SenseLabel) | 76.0 | 70.2 |
| --- | --- | --- |
| (SenseDef.) | 69.5 | 66.9 |
| (SenseAll) | 71.2 | 67.7 | | 1 |
| EmojiEmbeddingModel | ρx100foreachCorpus | |
| --- | --- | --- |
| GoogleNews | Twitter | |
| (SenseDesc.) | 49.0 | 46.6 | | | Twitter+(SenseDesc.) | 60.2 | 62.5 | 55.1 | 56.7 | 53.8 | 57.3 | 53.5 | 53.2 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| GoogleNews+(SenseLabel) | 60.3 | 63.3 | 55.0 | 61.8 | 56.8 | 62.3 | 54.2 | 59.0 |
| Twitter+(SenseLabel) | 60.7 | 63.6 | 57.3 | 60.8 | 57.5 | 61.5 | 56.1 | 58.4 |
| GoogleNews+(SenseDef.) | 59.0 | 62.2 | 50.3 | 55.0 | 51.1 | 55.2 | 48.0 | 50.6 |
| Twitter+(SenseDef.) | 60.0 | 62.4 | 53.6 | 56.2 | 53.7 | 56.7 | 50.6 | 50.6 |
| GoogleNews+(SenseAll) | 59.1 | 62.2 | 50.8 | 55.1 | 50.2 | 55.3 | 50.0 | 50.6 |
| Twitter+(SenseAll) | 60.3 | 62.4 | 53.1 | 57.6 | 54.1 | 56.8 | 54.5 | 50.0 | | 0 |
| HW# | PLMR | KT-IDEM |
| --- | --- | --- |
| 2 | 0.641 | 0.623 |
| 3 | 0.733 | 0.681 |
| 4 | 0.748 | 0.739 |
| 5 | 0.838 | 0.829 |
| 6 | 0.690 | 0.667 | | | 7 | 0.780 | 0.730 |
| --- | --- | --- |
| 8 | 0.823 | 0.823 |
| 9 | 0.690 | 0.655 |
| Avg | 0.743 | 0.718 | | 1 |
| HW# | PLMR | KT-IDEM |
| --- | --- | --- |
| 2 | 0.641 | 0.623 |
| 3 | 0.733 | 0.681 |
| 4 | 0.748 | 0.739 |
| 5 | 0.838 | 0.829 |
| 6 | 0.690 | 0.667 | | | nv04 | #ret | Av.P | Av.R | Av.F | Difference |
| --- | --- | --- | --- | --- | --- |
| p0.7 | 5713 | 0.495 | 0.864 | 0.615 | 192novelin<br>492extra |
| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 | |
| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 | 80novelin<br>347extra |
| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 | |
| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 | 56novelin<br>266extra |
| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 | |
| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 | 15novelin<br>75extra |
| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | |
| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | 22novelin<br>72extra |
| o0.7 | 6965 | 0.462 | 0.950 | 0.608 | |
| nv03 | #ret | Av.P | Av.R | Av.F | Difference |
| p0.7 | 9127 | 0.755 | 0.762 | 0.744 | 2763novel<br>4123extra |
| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | |
| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | 25novel<br>53extra |
| o0.7 | 13303 | 0.719 | 0.972 | 0.815 | |
| nvyiz | #ret | Av.P | Av.R | Av.F | Difference |
| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |
| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | |
| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |
| o0.8 | 9349 | 0.909 | 0.988 | 0.945 | | | 0 |
| HW# | PLMR | KT-IDEM |
| --- | --- | --- |
| 2 | 0.641 | 0.623 |
| 3 | 0.733 | 0.681 |
| 4 | 0.748 | 0.739 |
| 5 | 0.838 | 0.829 | | | 6 | 0.690 | 0.667 |
| --- | --- | --- |
| 7 | 0.780 | 0.730 |
| 8 | 0.823 | 0.823 |
| 9 | 0.690 | 0.655 |
| Avg | 0.743 | 0.718 | | 1 |
| HW# | PLMR | KT-IDEM |
| --- | --- | --- |
| 2 | 0.641 | 0.623 |
| 3 | 0.733 | 0.681 |
| 4 | 0.748 | 0.739 |
| 5 | 0.838 | 0.829 | | | nv03 | #ret | Av.P | Av.R | Av.F | Difference |
| --- | --- | --- | --- | --- | --- |
| p0.7 | 9127 | 0.755 | 0.762 | 0.744 | 2763novel<br>4123extra |
| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | |
| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | 25novel<br>53extra |
| o0.7 | 13303 | 0.719 | 0.972 | 0.815 | |
| nvyiz | #ret | Av.P | Av.R | Av.F | Difference |
| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |
| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | |
| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |
| o0.8 | 9349 | 0.909 | 0.988 | 0.945 | | | 0 |
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