premise
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hypothesis
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int64
| Item | Statistics | | --- | --- | | SpatialCoverage | UnitedStates | | TemporalCoverage | Aug,2010toSep,2012 |
| VocabularySize | 40,173 | | --- | --- | | Num.Documents | 5,298,978 |
1
| Item | Statistics | | --- | --- | | SpatialCoverage | UnitedStates | | TemporalCoverage | Aug,2010toSep,2012 |
| Totalvocabularysize | 768,298 | | --- | --- | | Mediandocumentlength | 346characters | | Mediannumberofwords | 54 | | Mediansentencelength | 51characters | | MedianNbrofwordsinsentence | 8 |
0
| Item | Statistics | | --- | --- | | SpatialCoverage | UnitedStates | | TemporalCoverage | Aug,2010toSep,2012 |
| VocabularySize | 40,173 | | --- | --- | | Num.Documents | 5,298,978 |
1
| Item | Statistics | | --- | --- | | SpatialCoverage | UnitedStates | | TemporalCoverage | Aug,2010toSep,2012 |
| Mediansentencelength | 51characters | | --- | --- | | MedianNbrofwordsinsentence | 8 |
0
| Dataset | Average<br>FPCR | Average<br>TPCR | Average<br>FPC1PR | Average<br>TPC1PR | AverageFP<br>MCSrank | AverageFP<br>MC1PSrank | | --- | --- | --- | --- | --- | --- | --- | | (2,2) | 0.20 | 0.05 | 0.66 | 0.82 | 39.65 | 15.47 | | (3,2) | 0.20 | 0.06 | 0.67 | 0.76 | 38.48 | 19.27 | | (4,2) | 0.21 | 0.06 | 0.61 | 0...
| (5,2) | 0.21 | 0.05 | 0.59 | 0.69 | 38.37 | 19.57 | | --- | --- | --- | --- | --- | --- | --- | | (2,5) | 0.21 | 0.07 | 0.69 | 0.79 | 39.53 | 17.72 | | (3,5) | 0.21 | 0.07 | 0.63 | 0.73 | 38.33 | 18.72 | | (4,5) | 0.21 | 0.06 | 0.60 | 0.65 | 38.16 | 21.19 | | (5,5) | 0.21 | 0.06 | 0.59 | 0.65 | 37.91 | 21.33 | | (2,1...
1
| Dataset | Average<br>FPCR | Average<br>TPCR | Average<br>FPC1PR | Average<br>TPC1PR | AverageFP<br>MCSrank | AverageFP<br>MC1PSrank | | --- | --- | --- | --- | --- | --- | --- | | (2,2) | 0.20 | 0.05 | 0.66 | 0.82 | 39.65 | 15.47 | | (3,2) | 0.20 | 0.06 | 0.67 | 0.76 | 38.48 | 19.27 | | (4,2) | 0.21 | 0.06 | 0.61 | 0...
| 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...
0
| Dataset | Average<br>FPCR | Average<br>TPCR | Average<br>FPC1PR | Average<br>TPC1PR | AverageFP<br>MCSrank | AverageFP<br>MC1PSrank | | --- | --- | --- | --- | --- | --- | --- | | (2,2) | 0.20 | 0.05 | 0.66 | 0.82 | 39.65 | 15.47 | | (3,2) | 0.20 | 0.06 | 0.67 | 0.76 | 38.48 | 19.27 |
| (4,2) | 0.21 | 0.06 | 0.61 | 0.73 | 39.35 | 18.45 | | --- | --- | --- | --- | --- | --- | --- | | (5,2) | 0.21 | 0.05 | 0.59 | 0.69 | 38.37 | 19.57 | | (2,5) | 0.21 | 0.07 | 0.69 | 0.79 | 39.53 | 17.72 | | (3,5) | 0.21 | 0.07 | 0.63 | 0.73 | 38.33 | 18.72 | | (4,5) | 0.21 | 0.06 | 0.60 | 0.65 | 38.16 | 21.19 | | (5,5...
1
| Dataset | Average<br>FPCR | Average<br>TPCR | Average<br>FPC1PR | Average<br>TPC1PR | AverageFP<br>MCSrank | AverageFP<br>MC1PSrank | | --- | --- | --- | --- | --- | --- | --- | | (2,2) | 0.20 | 0.05 | 0.66 | 0.82 | 39.65 | 15.47 | | (3,2) | 0.20 | 0.06 | 0.67 | 0.76 | 38.48 | 19.27 |
| 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...
0
| Noise | Image | WNN-I | WNN | LNN | TNNwithr=1 | Swithp=0.1p | | --- | --- | --- | --- | --- | --- | --- | | σ=10 | airplane | 34.732 | 34.352 | 34.130 | 30.146 | 34.495 | | boat | 33.727 | 33.186 | 33.309 | 30.023 | 33.512 | | | couple | 33.735 | 33.247 | 33.240 | 30.019 | 33.551 | | | fingerprint | 31.069 | 30.907...
| couple | 27.698 | 26.893 | 27.198 | 25.885 | 27.046 | | | --- | --- | --- | --- | --- | --- | --- | | fingerprint | 24.919 | 24.637 | 24.776 | 24.193 | 24.790 | | | hill | 28.472 | 27.759 | 28.013 | 26.436 | 27.868 | | | Lena | 29.929 | 29.060 | 29.167 | 26.970 | 29.186 | | | man | 27.897 | 27.337 | 27.535 | 26.08...
1
| Noise | Image | WNN-I | WNN | LNN | TNNwithr=1 | Swithp=0.1p | | --- | --- | --- | --- | --- | --- | --- | | σ=10 | airplane | 34.732 | 34.352 | 34.130 | 30.146 | 34.495 | | boat | 33.727 | 33.186 | 33.309 | 30.023 | 33.512 | | | couple | 33.735 | 33.247 | 33.240 | 30.019 | 33.551 | | | fingerprint | 31.069 | 30.907...
| | BMCNN | woBMCNN | DnCNN | | --- | --- | --- | --- | | Cameraman | 30.20 | 30.08 | 30.11 | | Lena | 32.53 | 32.45 | 32.48 | | Barbara | 30.58 | 29.91 | 29.94 | | Boat | 30.25 | 30.17 | 30.21 | | Couple | 30.12 | 30.09 | 30.10 | | Fingerprint | 28.01 | 27.61 | 27.64 | | Hill | 30.00 | 29.96 | 29.99 | | House | 33.32...
0
| Noise | Image | WNN-I | WNN | LNN | TNNwithr=1 | Swithp=0.1p | | --- | --- | --- | --- | --- | --- | --- | | σ=10 | airplane | 34.732 | 34.352 | 34.130 | 30.146 | 34.495 | | boat | 33.727 | 33.186 | 33.309 | 30.023 | 33.512 | | | couple | 33.735 | 33.247 | 33.240 | 30.019 | 33.551 | | | fingerprint | 31.069 | 30.907...
| boat | 22.737 | 21.690 | 21.842 | 21.623 | 21.853 | | --- | --- | --- | --- | --- | --- | | couple | 22.631 | 21.530 | 21.691 | 21.607 | 21.681 | | fingerprint | 20.079 | 19.253 | 19.384 | 18.991 | 19.417 | | hill | 23.597 | 22.406 | 22.605 | 22.583 | 22.609 | | Lena | 24.531 | 22.660 | 22.881 | 22.749 | 23.051 | | ma...
1
| Noise | Image | WNN-I | WNN | LNN | TNNwithr=1 | Swithp=0.1p | | --- | --- | --- | --- | --- | --- | --- | | σ=10 | airplane | 34.732 | 34.352 | 34.130 | 30.146 | 34.495 | | boat | 33.727 | 33.186 | 33.309 | 30.023 | 33.512 | | | couple | 33.735 | 33.247 | 33.240 | 30.019 | 33.551 | | | fingerprint | 31.069 | 30.907...
| Couple | 30.12 | 30.09 | 30.10 | | --- | --- | --- | --- | | Fingerprint | 28.01 | 27.61 | 27.64 | | Hill | 30.00 | 29.96 | 29.99 | | House | 33.32 | 33.20 | 33.23 | | Jetplane | 32.17 | 32.02 | 32.06 | | Man | 30.06 | 30.04 | 30.06 | | Montage | 33.47 | 33.02 | 32.97 | | Peppers | 30.93 | 30.81 | 30.80 | | Average |...
0
| parameter | value | parameter | value | parameter | value | | --- | --- | --- | --- | --- | --- | | Ron | 10 | Roff | 1 | vc | 1 | | α | 60 | C | 10 | k | ∞ |
| Vt | 0 | γ | 60 | q | 10 | | --- | --- | --- | --- | --- | --- | | m0 | −400 | m1 | 400 | imin | 10 | | imax | 20 | ki | 10 | ks | 10 | | δs | 0 | δi | 0 | | |
1
| parameter | value | parameter | value | parameter | value | | --- | --- | --- | --- | --- | --- | | Ron | 10 | Roff | 1 | vc | 1 | | α | 60 | C | 10 | k | ∞ |
| SSC | LRSC | ENSC | KMP | | --- | --- | --- | --- | | α | τα | λλλ123 | kλ | | 25 | 55 | 0.10.11 | 1000.1 | | 200 | 100100 | 0.10.11000 | 1000.1 | | 120 | -- | --- | -- | | - | -- | --- | -- |
0
| parameter | value | parameter | value | parameter | value | | --- | --- | --- | --- | --- | --- | | Ron | 10 | Roff | 1 | vc | 1 |
| α | 60 | C | 10 | k | ∞ | | --- | --- | --- | --- | --- | --- | | Vt | 0 | γ | 60 | q | 10 | | m0 | −400 | m1 | 400 | imin | 10 | | imax | 20 | ki | 10 | ks | 10 | | δs | 0 | δi | 0 | | |
1
| parameter | value | parameter | value | parameter | value | | --- | --- | --- | --- | --- | --- | | Ron | 10 | Roff | 1 | vc | 1 |
| 200 | 100100 | 0.10.11000 | 1000.1 | | --- | --- | --- | --- | | 120 | -- | --- | -- | | - | -- | --- | -- |
0
| | Sentence1 | Sentence2 | | --- | --- | --- | | 1 | tableshowresult | tableexpressresult | | 2 | tableshowresult | tablepictureresult | | 3 | mapshowlocation | mappicturelocation | | 4 | mapshowlocation | mapexpresslocation |
| 5 | childshowinterest | childpictureinterest | | --- | --- | --- | | 6 | childshowinterest | childexpressinterest |
1
| | Sentence1 | Sentence2 | | --- | --- | --- | | 1 | tableshowresult | tableexpressresult | | 2 | tableshowresult | tablepictureresult | | 3 | mapshowlocation | mappicturelocation | | 4 | mapshowlocation | mapexpresslocation |
| | Sentence1 | Sentence2 | | --- | --- | --- | | 1 | thesystemmetthecriterion | thesystemvisitedthecriterion | | 2 | thesystemmetthecriterion | thesystemsatisfiedthecriterion | | 3 | thechildmetthehouse | thechildvisitedthehouse | | 4 | thechildmetthehouse | thechildsatisfiedthehouse | | 5 | thechildshowedinterest | th...
0
| | Sentence1 | Sentence2 | | --- | --- | --- | | 1 | tableshowresult | tableexpressresult |
| 2 | tableshowresult | tablepictureresult | | --- | --- | --- | | 3 | mapshowlocation | mappicturelocation | | 4 | mapshowlocation | mapexpresslocation | | 5 | childshowinterest | childpictureinterest | | 6 | childshowinterest | childexpressinterest |
1
| | Sentence1 | Sentence2 | | --- | --- | --- | | 1 | tableshowresult | tableexpressresult |
| 2 | thesystemmetthecriterion | thesystemsatisfiedthecriterion | | --- | --- | --- | | 3 | thechildmetthehouse | thechildvisitedthehouse | | 4 | thechildmetthehouse | thechildsatisfiedthehouse | | 5 | thechildshowedinterest | thechildpicturedinterest | | 6 | thechildshowedinterest | thechildexpressedinterest | | 7 | the...
0
| 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 | 0.46 | 0.50 | | NJU-Text | 0.70 | 0.36 | 0.47 | | AJOU | 0.47 | 0.47 | 0.47 | | HUSTMCLAB | 0.44 | 0.38 | 0.41 |
1
| 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 |
| Algorithm | Precision | Recall | F-measure | | --- | --- | --- | --- | | Proposed | 0.71 | 0.43 | 0.54 | | StradVision-2 | 0.77 | 0.37 | 0.50 | | StradVision-1 | 0.53 | 0.46 | 0.50 | | NJUText | 0.70 | 0.36 | 0.47 | | AJOU | 0.47 | 0.47 | 0.47 | | HUSTMCLAB | 0.44 | 0.38 | 0.41 | | Deep2Text-MO | 0.50 | 0.32 | 0.39 |...
0
| 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 | 0.46 | 0.50 | | NJU-Text | 0.70 | 0.36 | 0.47 | | AJOU | 0.47 | 0.47 | 0.47 | | HUSTMC...
1
| Algorithm | Precision | Recall | F-measure | | --- | --- | --- | --- | | Proposed(R-NMS) | 0.82 | 0.80 | 0.81 |
| AJOU | 0.47 | 0.47 | 0.47 | | --- | --- | --- | --- | | HUSTMCLAB | 0.44 | 0.38 | 0.41 | | Deep2Text-MO | 0.50 | 0.32 | 0.39 | | CNNProposal | 0.35 | 0.34 | 0.35 | | TextCatcher-2 | 0.25 | 0.34 | 0.29 |
0
| Input<br>Points | Cube<br>10,000 | Cube<br>100,000 | Cube<br>1,000,000 | Ball<br>10,000 | Ball<br>100,000 | Ball<br>200,000 | | --- | --- | --- | --- | --- | --- | --- | | Exact | 1.2 | 6 | 72 | 0.23 | 1.88 | 7.43 | | Approx | 0.3 | 0.7 | 41 | 0.2 | 1.97 | 3.9 | | Har-Peled | 2 | 16 | 322 | 0.39 | 10 | 41.70 | | Hybr...
| Har-Peled | 122.71 | 7.96 | 33.27 | 284.69 | 103.88 | 113.8 | | --- | --- | --- | --- | --- | --- | --- | | Hybrid1 | 1.29 | 0.75 | 3.22 | 95.19 | 66.65 | 66.93 | | Hybrid2 | 1.43 | 0.71 | 2.94 | 0.114 | 65.1 | 68.75 | | Algorithm?? | 0.27 | 2.6 | 6.1 | 23.5 | 26.84 | 27.8 | | Algorithm??-5 | 0.34 | 3.59 | 7.69 | 44....
1
| Input<br>Points | Cube<br>10,000 | Cube<br>100,000 | Cube<br>1,000,000 | Ball<br>10,000 | Ball<br>100,000 | Ball<br>200,000 | | --- | --- | --- | --- | --- | --- | --- | | Exact | 1.2 | 6 | 72 | 0.23 | 1.88 | 7.43 | | Approx | 0.3 | 0.7 | 41 | 0.2 | 1.97 | 3.9 | | Har-Peled | 2 | 16 | 322 | 0.39 | 10 | 41.70 | | Hybr...
| Cube,n=100,000 | | | | | | --- | --- | --- | --- | --- | | Input | d=6 | d=9 | d=12 | d=15 | | Exact | 73.24 | 235.57 | 1520 | 27520 | | Approx | 64.63 | 162.47 | 3210 | 16990 | | Har-Peled | 207.52 | 24020 | 119890 | 138240 | | Hybrid1 | 87.23 | 180.31 | 17960 | 15450 | | Hybrid2 | 87.59 | 171.43 | 11800 | 12230...
0
| Input<br>Points | Cube<br>10,000 | Cube<br>100,000 | Cube<br>1,000,000 | Ball<br>10,000 | Ball<br>100,000 | Ball<br>200,000 | | --- | --- | --- | --- | --- | --- | --- | | Exact | 1.2 | 6 | 72 | 0.23 | 1.88 | 7.43 | | Approx | 0.3 | 0.7 | 41 | 0.2 | 1.97 | 3.9 | | Har-Peled | 2 | 16 | 322 | 0.39 | 10 | 41.70 | | Hybr...
| Exact | 0.29 | 3.03 | 5.9 | 100.28 | 52.81 | 51.86 | | --- | --- | --- | --- | --- | --- | --- | | Approx | 0.27 | 2.8 | 5.7 | 106.08 | 51.92 | 52.53 | | Har-Peled | 122.71 | 7.96 | 33.27 | 284.69 | 103.88 | 113.8 | | Hybrid1 | 1.29 | 0.75 | 3.22 | 95.19 | 66.65 | 66.93 | | Hybrid2 | 1.43 | 0.71 | 2.94 | 0.114 | 65.1...
1
| Input<br>Points | Cube<br>10,000 | Cube<br>100,000 | Cube<br>1,000,000 | Ball<br>10,000 | Ball<br>100,000 | Ball<br>200,000 | | --- | --- | --- | --- | --- | --- | --- | | Exact | 1.2 | 6 | 72 | 0.23 | 1.88 | 7.43 | | Approx | 0.3 | 0.7 | 41 | 0.2 | 1.97 | 3.9 | | Har-Peled | 2 | 16 | 322 | 0.39 | 10 | 41.70 | | Hybr...
| Approx | 31.9 | 504 | 589 | 1300 | | --- | --- | --- | --- | --- | | Har-Peled | 3040 | 109760 | 127280 | 134070 | | Hybrid1 | 90 | 2280 | 3240 | 5580 | | Hybrid2 | 98 | 2020 | 3900 | 5200 | | Algorithm?? | 5.21 | 6.9 | 7.28 | 9.5 | | Algorithm??-5 | 7.3 | 9.5 | 12.1 | 16.5 | | Algorithm??-3 | 4.39 | 5.79 | 7.2 | 8.6...
0
| Cipher | Model | rounds | #linearequ. | #keybits | #Plaintexts | Pr(Success) | | --- | --- | --- | --- | --- | --- | --- | | DES<br>DES | HW<br>HW | 1<br>1 | 349<br>349 | 30<br>48 | 10<br>2<br>12<br>2 | 0.79<br>0.99 |
| DES<br>DES | HW<br>HW | 2<br>2 | 728<br>728 | 6<br>48 | 2<br>12<br>2 | 0.97<br>0.95 | | --- | --- | --- | --- | --- | --- | --- | | DES<br>DES | HW<br>HW | 3<br>3 | 164<br>164 | 12<br>27 | 2<br>20<br>2 | 0.96<br>0.99 | | DES<br>DES | HD<br>HD | 2<br>2 | 27<br>27 | 16<br>16 | 2<br>16<br>2 | 0.71<br>0.99 | | AES<br>AES...
1
| Cipher | Model | rounds | #linearequ. | #keybits | #Plaintexts | Pr(Success) | | --- | --- | --- | --- | --- | --- | --- | | DES<br>DES | HW<br>HW | 1<br>1 | 349<br>349 | 30<br>48 | 10<br>2<br>12<br>2 | 0.79<br>0.99 |
| Number<br>ofFlows | Unique<br>ServerIPs | Numberof<br>SSCerts | Selected<br>Ciphersuite | | --- | --- | --- | --- | | 332 | 12 | 0 | TLSRSAWITH3DESEDECBCSHA | | 129 | 38 | 0 | TLSRSAWITH3DESEDECBCSHA | | 103 | 10 | 89 | TLSRSAWITHAES128CBCSHA | | 372 | 155 | 3 | TLSECDHERSAWITHAES128GCMSHA256 | | 1152 | 225 | 52 | TL...
0
| Cipher | Model | rounds | #linearequ. | #keybits | #Plaintexts | Pr(Success) | | --- | --- | --- | --- | --- | --- | --- | | DES<br>DES | HW<br>HW | 1<br>1 | 349<br>349 | 30<br>48 | 10<br>2<br>12<br>2 | 0.79<br>0.99 | | DES<br>DES | HW<br>HW | 2<br>2 | 728<br>728 | 6<br>48 | 2<br>12<br>2 | 0.97<br>0.95 |
| DES<br>DES | HW<br>HW | 3<br>3 | 164<br>164 | 12<br>27 | 2<br>20<br>2 | 0.96<br>0.99 | | --- | --- | --- | --- | --- | --- | --- | | DES<br>DES | HD<br>HD | 2<br>2 | 27<br>27 | 16<br>16 | 2<br>16<br>2 | 0.71<br>0.99 | | AES<br>AES | HW<br>HW | Last<br>Last | 1410<br>1410 | 128<br>128 | 2<br>11<br>2 | 0.80<br>0.99 |
1
| Cipher | Model | rounds | #linearequ. | #keybits | #Plaintexts | Pr(Success) | | --- | --- | --- | --- | --- | --- | --- | | DES<br>DES | HW<br>HW | 1<br>1 | 349<br>349 | 30<br>48 | 10<br>2<br>12<br>2 | 0.79<br>0.99 | | DES<br>DES | HW<br>HW | 2<br>2 | 728<br>728 | 6<br>48 | 2<br>12<br>2 | 0.97<br>0.95 |
| 404 | 138 | 8 | TLSRSAWITH3DESEDECBCSHA | | --- | --- | --- | --- | | 891 | 37 | 155 | TLSRSAWITHRC4128MD5 | | 12,847 | 1 | 0 | TLSDHERSAWITHAES256CBCSHA256 | | 511 | 120 | 0 | TLSRSAWITH3DESEDECBCSHA | | 337 | 51 | 0 | TLSRSAWITHRC4128SHA | | 2,902 | 269 | 507 | TLSRSAWITHRC4128MD5 | | 733 | 145 | 14 | TLSRSAWITH3DE...
0
| n | xandx12 | xthroughx3n | xn+1 | | --- | --- | --- | --- | | 3 | 2.4556264573869506 | 3.5140460449331314 | 1.5613009117434562 | | 4 | 3.5424450202354296 | 4.920230571592636 | 2.294026685501083 |
| 5 | 4.618609731491003 | 6.336229610465761 | 3.0154193383617174 | | --- | --- | --- | --- | | 6 | 5.689328832275783 | 7.753335975414664 | 3.7315531287091606 | | 7 | 6.757011330006688 | 9.170224016158656 | 4.4448690694127775 | | 8 | 7.822844123284092 | 10.58670954888685 | 5.15650608100577 | | 9 | 8.88747045789415 | 12....
1
| n | xandx12 | xthroughx3n | xn+1 | | --- | --- | --- | --- | | 3 | 2.4556264573869506 | 3.5140460449331314 | 1.5613009117434562 | | 4 | 3.5424450202354296 | 4.920230571592636 | 2.294026685501083 |
| i | xandx12 | xthroughx3i | | --- | --- | --- | | 3 | 2.127480103088468 | 2.715029663803688 | | 4 | 3.2023557495551507 | 4.175556640172782 | | 5 | 4.270167577054796 | 5.608618419590356 | | 6 | 5.335126162486634 | 7.033301794415261 | | 7 | 6.3986555212789265 | 8.454218195486414 | | 8 | 7.461367172755974 | 9.8731015607...
0
| n | xandx12 | xthroughx3n | xn+1 | | --- | --- | --- | --- | | 3 | 2.4556264573869506 | 3.5140460449331314 | 1.5613009117434562 | | 4 | 3.5424450202354296 | 4.920230571592636 | 2.294026685501083 | | 5 | 4.618609731491003 | 6.336229610465761 | 3.0154193383617174 | | 6 | 5.689328832275783 | 7.753335975414664 | 3.731553...
| 9 | 8.88747045789415 | 12.002823667602273 | 5.867063400774457 | | --- | --- | --- | --- | | 10 | 9.951267362449125 | 13.41863151261787 | 6.576885724382338 |
1
| n | xandx12 | xthroughx3n | xn+1 | | --- | --- | --- | --- | | 3 | 2.4556264573869506 | 3.5140460449331314 | 1.5613009117434562 | | 4 | 3.5424450202354296 | 4.920230571592636 | 2.294026685501083 | | 5 | 4.618609731491003 | 6.336229610465761 | 3.0154193383617174 | | 6 | 5.689328832275783 | 7.753335975414664 | 3.731553...
| 6 | 5.335126162486634 | 7.033301794415261 | | --- | --- | --- | | 7 | 6.3986555212789265 | 8.454218195486414 | | 8 | 7.461367172755974 | 9.873101560726544 | | 9 | 8.52356722480373 | 11.290758818589284 | | 10 | 9.585425903496056 | 12.707618366991161 |
0
| Dataset | ExclusivelyDark | MicrosoftCOCO | | --- | --- | --- | | Class | NumberofImage | Numberofimage |
| Bicycle | 652 | 603 | | --- | --- | --- | | Boat | 679 | 650 | | Bottle | 547 | 650 | | Bus | 527 | 564 | | Car | 638 | 650 | | Cat | 735 | 650 | | Chair | 648 | 651 | | Cup | 519 | 650 | | Dog | 801 | 650 | | Motorbike | 503 | 644 | | People | 609 | 650 | | Table | 505 | 650 | | Total | 7,363 | 7,662 |
1
| Dataset | ExclusivelyDark | MicrosoftCOCO | | --- | --- | --- | | Class | NumberofImage | Numberofimage |
| Dataset | Size | Dim. | No.Classes | | --- | --- | --- | --- | | Balance | 625 | 4 | 3 | | BUPALiverDisorders | 345 | 6 | 2 | | Diabetes | 768 | 8 | 2 | | Sonar | 208 | 60 | 2 | | Wine | 178 | 13 | 3 | | Cho’sgene | 307 | 100 | 5 |
0
| Dataset | ExclusivelyDark | MicrosoftCOCO | | --- | --- | --- | | Class | NumberofImage | Numberofimage | | Bicycle | 652 | 603 | | Boat | 679 | 650 | | Bottle | 547 | 650 | | Bus | 527 | 564 | | Car | 638 | 650 | | Cat | 735 | 650 | | Chair | 648 | 651 | | Cup | 519 | 650 | | Dog | 801 | 650 | | Motorbike | 503 | 64...
| Table | 505 | 650 | | --- | --- | --- | | Total | 7,363 | 7,662 |
1
| Dataset | ExclusivelyDark | MicrosoftCOCO | | --- | --- | --- | | Class | NumberofImage | Numberofimage | | Bicycle | 652 | 603 | | Boat | 679 | 650 | | Bottle | 547 | 650 | | Bus | 527 | 564 | | Car | 638 | 650 | | Cat | 735 | 650 | | Chair | 648 | 651 | | Cup | 519 | 650 | | Dog | 801 | 650 | | Motorbike | 503 | 64...
| BUPALiverDisorders | 345 | 6 | 2 | | --- | --- | --- | --- | | Diabetes | 768 | 8 | 2 | | Sonar | 208 | 60 | 2 | | Wine | 178 | 13 | 3 | | Cho’sgene | 307 | 100 | 5 |
0
| Description | Count | | --- | --- | | Requests | 252036 | | Responses | 251802 |
| URLsaccessed | 503838 | | --- | --- | | DistinctURLs | 201628 | | Distincthosts | 9580 | | Distincthosts(combined) | 8601 |
1
| Description | Count | | --- | --- | | Requests | 252036 | | Responses | 251802 |
| | Counts | | --- | --- | | UniqueURLsCrawled | 1,113,653 | | UniqueDomainsCrawled | 329,575 | | UniqueFilteredURLs | 115,337 | | UniquePoisoneddomains | 1355 | | FilteredURLs/1000URLscrawled | 103.57 | | Poisoneddomains/1000domainscrawled | 4.11 |
0
| Description | Count | | --- | --- | | Requests | 252036 | | Responses | 251802 |
| URLsaccessed | 503838 | | --- | --- | | DistinctURLs | 201628 | | Distincthosts | 9580 | | Distincthosts(combined) | 8601 |
1
| Description | Count | | --- | --- | | Requests | 252036 | | Responses | 251802 |
| UniqueFilteredURLs | 115,337 | | --- | --- | | UniquePoisoneddomains | 1355 | | FilteredURLs/1000URLscrawled | 103.57 | | Poisoneddomains/1000domainscrawled | 4.11 |
0
| dim | Market-1501 | CUHK03 | | --- | --- | --- | | 151020mAP | 151020 | |
| 4,096<br>751<br>2,048<br>751 | 55.4976.2883.5588.9832.36<br>53.6575.4882.9388.5131.60<br>73.0287.4491.2494.7047.62<br>70.5884.9590.0293.5345.84 | 57.1583.5090.8595.70<br>58.8085.8091.9096.25<br>51.6079.6087.7095.00<br>54.8084.2091.7097.60 | | --- | --- | --- | | 4,096<br>751<br>2,048<br>751 | 52.2271.5378.9585.0428.9...
1
| dim | Market-1501 | CUHK03 | | --- | --- | --- | | 151020mAP | 151020 | |
| H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 | | 72.9<br>41.1<br>19.7 | 40712.1<br>24618.2<br>7771.4 | 1048153<br>1035994<br>991498 | 6.61<br>6.5...
0
| dim | Market-1501 | CUHK03 | | --- | --- | --- | | 151020mAP | 151020 | | | 4,096<br>751<br>2,048<br>751 | 55.4976.2883.5588.9832.36<br>53.6575.4882.9388.5131.60<br>73.0287.4491.2494.7047.62<br>70.5884.9590.0293.5345.84 | 57.1583.5090.8595.70<br>58.8085.8091.9096.25<br>51.6079.6087.7095.00<br>54.8084.2091.7097.60 |
| 4,096<br>751<br>2,048<br>751 | 52.2271.5378.9585.0428.95<br>51.1072.2479.4885.6029.91<br>64.4979.4885.0788.9538.16<br>62.2078.3683.7688.8437.91 | 39.9071.4082.3090.00<br>42.3075.0584.3592.00<br>36.9068.4078.7086.70<br>41.7072.7084.2092.50 | | --- | --- | --- | | 8,206<br>751<br>4,108<br>751 | 64.6182.0787.8391.7538.9...
1
| dim | Market-1501 | CUHK03 | | --- | --- | --- | | 151020mAP | 151020 | | | 4,096<br>751<br>2,048<br>751 | 55.4976.2883.5588.9832.36<br>53.6575.4882.9388.5131.60<br>73.0287.4491.2494.7047.62<br>70.5884.9590.0293.5345.84 | 57.1583.5090.8595.70<br>58.8085.8091.9096.25<br>51.6079.6087.7095.00<br>54.8084.2091.7097.60 |
| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<b...
0
| Datasets | #images#queries#descriptorsEvaluation | | --- | --- | | Holidays | 14915004,455,091mAP |
| Oxford | 50635512,534,635mAP | | --- | --- | | Ukbench | 102001020019,415,079N-Sscore | | MirFlickr1M | 1,000,000-502,115,988- |
1
| Datasets | #images#queries#descriptorsEvaluation | | --- | --- | | Holidays | 14915004,455,091mAP |
| Dataset | #Images | #Subjects | | --- | --- | --- | | AWE | 1000 | 100 | | AMI | 700 | 100 | | WPUT | 2071 | 501 | | IITD | 493 | 125 | | CP | 102 | 17 | | UERCTrain | 2304 | 166 | | Multi-PIEEar | 17183 | 205 |
0
| Datasets | #images#queries#descriptorsEvaluation | | --- | --- | | Holidays | 14915004,455,091mAP |
| Oxford | 50635512,534,635mAP | | --- | --- | | Ukbench | 102001020019,415,079N-Sscore | | MirFlickr1M | 1,000,000-502,115,988- |
1
| Datasets | #images#queries#descriptorsEvaluation | | --- | --- | | Holidays | 14915004,455,091mAP |
| AMI | 700 | 100 | | --- | --- | --- | | WPUT | 2071 | 501 | | IITD | 493 | 125 | | CP | 102 | 17 | | UERCTrain | 2304 | 166 | | Multi-PIEEar | 17183 | 205 |
0
| Activity | Duration(s) | GBread | GBwritten | | --- | --- | --- | --- | | reverseComplement | 11.8 | 0.15 | 0.14 | | words | 55.9 | 0.29 | 7.05 | | sortWords | 76.6 | 7.05 | 7.05 | | w2hd | 425.1 | 7.05 | 11.67 | | combineFrags | 425.8 | 0.32 | 0.16 | | csvGenerator | 697.8 | 0.006 | 0.004 | | filterHits | 2402 | 111....
| FragHits | 3793.3 | 94.7 | 0.32 | | --- | --- | --- | --- | | sortHits | 4457.3 | 111.36 | 111.36 | | hits | 60058 | 455.24 | 111.36 |
1
| Activity | Duration(s) | GBread | GBwritten | | --- | --- | --- | --- | | reverseComplement | 11.8 | 0.15 | 0.14 | | words | 55.9 | 0.29 | 7.05 | | sortWords | 76.6 | 7.05 | 7.05 | | w2hd | 425.1 | 7.05 | 11.67 | | combineFrags | 425.8 | 0.32 | 0.16 | | csvGenerator | 697.8 | 0.006 | 0.004 | | filterHits | 2402 | 111....
| name | \|V\| | \|E\| | tw(G) | safeseparatorsfound | maxsubproblem | time(secs) | | --- | --- | --- | --- | --- | --- | --- | | ex181 | 109 | 732 | 18 | 18 | 89 | 0.078 | | ex183 | 265 | 471 | 11 | 173 | 76 | 0.031 | | ex185 | 237 | 793 | 14 | 142 | 52 | 0.046 | | ex187 | 240 | 453 | 10 | 138 | 81 | 0.031 | | ex189 |...
0
| Activity | Duration(s) | GBread | GBwritten | | --- | --- | --- | --- | | reverseComplement | 11.8 | 0.15 | 0.14 | | words | 55.9 | 0.29 | 7.05 |
| sortWords | 76.6 | 7.05 | 7.05 | | --- | --- | --- | --- | | w2hd | 425.1 | 7.05 | 11.67 | | combineFrags | 425.8 | 0.32 | 0.16 | | csvGenerator | 697.8 | 0.006 | 0.004 | | filterHits | 2402 | 111.36 | 83.09 | | FragHits | 3793.3 | 94.7 | 0.32 | | sortHits | 4457.3 | 111.36 | 111.36 | | hits | 60058 | 455.24 | 111.36 ...
1
| Activity | Duration(s) | GBread | GBwritten | | --- | --- | --- | --- | | reverseComplement | 11.8 | 0.15 | 0.14 | | words | 55.9 | 0.29 | 7.05 |
| ex185 | 237 | 793 | 14 | 142 | 52 | 0.046 | | --- | --- | --- | --- | --- | --- | --- | | ex187 | 240 | 453 | 10 | 138 | 81 | 0.031 | | ex189 | 178 | 4517 | 70 | 6 | 161 | 0.062 | | ex191 | 492 | 1608 | 15 | 184 | 132 | 0.171 | | ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 | | ex195 | 216 | 382 | 10 | 114 | 84 | 0.01...
0
| Parameter | Value | | --- | --- | | k(BM25parameter) | 2.8 |
| b(LeftBound)1 | 2.9 | | --- | --- | | b(RightBound)2 | 3.7 | | B(Growthparameter)1 | 1 | | B(Growthparameter)2 | 1 | | c(Troughcurvature) | 0.5 |
1
| Parameter | Value | | --- | --- | | k(BM25parameter) | 2.8 |
| Parameter | RangeofParameter | | --- | --- | | InlineRange | [100−750] | | CrosslineRange | [300−1250] | | ZRange | [0−1848] | | Size(km) | [24∗16] |
0
| Parameter | Value | | --- | --- | | k(BM25parameter) | 2.8 | | b(LeftBound)1 | 2.9 | | b(RightBound)2 | 3.7 | | B(Growthparameter)1 | 1 |
| B(Growthparameter)2 | 1 | | --- | --- | | c(Troughcurvature) | 0.5 |
1
| Parameter | Value | | --- | --- | | k(BM25parameter) | 2.8 | | b(LeftBound)1 | 2.9 | | b(RightBound)2 | 3.7 | | B(Growthparameter)1 | 1 |
| ZRange | [0−1848] | | --- | --- | | Size(km) | [24∗16] |
0
| 3DConvolutional(filters=32,kernelsize=5,strides=2,activation=”relu”) | | --- | | 3DConvolutional(filters=32,kernelsize=5,strides=2,activation=”relu”) |
| MaxPooling3D(poolsize=(2,2),strides=(1,1)) | | --- | | 3DConvolutional(filters=32,kernelsize=3,strides=1,activation=”relu”) | | 3DConvolutional(filters=32,kernelsize=3,strides=1,activation=”relu”) | | MaxPooling3D(poolsize=(2,2),strides=(1,1)) | | Dense(128,activation=“relu”) | | Dense(64,activation=“relu”) | | Dense(1...
1
| 3DConvolutional(filters=32,kernelsize=5,strides=2,activation=”relu”) | | --- | | 3DConvolutional(filters=32,kernelsize=5,strides=2,activation=”relu”) |
| 2DConvolutional(filters=64,kernelsize=3,activation=”relu”,padding=”same”) | | --- | | 2DConvolutional(filters=64,kernelsize=3,activation=“relu”,padding=“same”) | | 2DConvolutional(filters=64,kernelsize=3,activation=“relu”,padding=“same”) | | MaxPooling(poolsize=(2,2),strides=(2,2)) | | 2DConvolutional(filters=128,kernels...
0
| 3DConvolutional(filters=32,kernelsize=5,strides=2,activation=”relu”) | | --- | | 3DConvolutional(filters=32,kernelsize=5,strides=2,activation=”relu”) | | MaxPooling3D(poolsize=(2,2),strides=(1,1)) |
| 3DConvolutional(filters=32,kernelsize=3,strides=1,activation=”relu”) | | --- | | 3DConvolutional(filters=32,kernelsize=3,strides=1,activation=”relu”) | | MaxPooling3D(poolsize=(2,2),strides=(1,1)) | | Dense(128,activation=“relu”) | | Dense(64,activation=“relu”) | | Dense(1,activation=None) |
1
| 3DConvolutional(filters=32,kernelsize=5,strides=2,activation=”relu”) | | --- | | 3DConvolutional(filters=32,kernelsize=5,strides=2,activation=”relu”) | | MaxPooling3D(poolsize=(2,2),strides=(1,1)) |
| 2DConvolutional(filters=128,kernelsize=3,activation=“relu”,padding=“same”) | | --- | | 2DConvolutional(filters=128,kernelsize=3,activation=“relu”,padding=“same”) | | MaxPooling(poolsize=(2,2),strides=(2,2)) | | 2DConvolutional(filters=256,kernelsize=3,activation=“relu”,padding=“same”) | | 2DConvolutional(filters=256,kern...
0
| 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 | 0.7234 | 0.7190 | | Midterm(Actual) | 17.5650 | 17.51134 | 0.5218 | 0.5094 | 0.4338 |
1
| OverallScore | Uniformweights | ActualWeights | LinearRegression | HuberRegression | OrdinaryLS | | --- | --- | --- | --- | --- | --- | | Final(Normalized) | 7.2368 | 6.1644 | 0.5690 | 0.5280 | 0.6804 |
| PE | skewness | kurtosis | | --- | --- | --- | | 0.02 | 0.1502 | 0.0206 | | 0.04 | 0.1007 | 0.0081 | | 0.08 | 0.0637 | 0.0021 | | 0.1 | 0.0537 | 0.0009 | | 0.2 | 0.0271 | -0.0012 | | 0.3 | 0.0140 | -0.0017 | | 0.4 | 0.0056 | -0.0019 | | 0.5 | -0.0004 | -0.0020 | | 0.6 | -0.0050 | -0.0021 | | 0.7 | -0.0086 | -0.0021 |...
0
| 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 | 0.7234 | 0.7190 | | Midterm(Actual) | 17.5650 | 17.51134 | 0.5218 | 0.5094 | 0.4338 |
1
| OverallScore | Uniformweights | ActualWeights | LinearRegression | HuberRegression | OrdinaryLS | | --- | --- | --- | --- | --- | --- | | Final(Normalized) | 7.2368 | 6.1644 | 0.5690 | 0.5280 | 0.6804 |
| 0.6 | -0.0050 | -0.0021 | | --- | --- | --- | | 0.7 | -0.0086 | -0.0021 | | 0.8 | -0.0116 | -0.0022 | | 0.9 | -0.0141 | -0.0022 |
0
| k=250 | k=500 | k=1000 | | | --- | --- | --- | --- | | SC | 14.37min+2.13h | 25.09min+14.96h | 55.63min+106.87h |
| us | 0.12min+2.55h | 0.19min+22.75h | 0.52min+104.82h | | --- | --- | --- | --- | | Cus | 0.12min+11.36h | 0.19min+17.22h | 0.52min+58.46h | | CSC | 2.34min+9.74h | 3.73min+21.07h | 2.61min+35.47h |
1
| k=250 | k=500 | k=1000 | | | --- | --- | --- | --- | | SC | 14.37min+2.13h | 25.09min+14.96h | 55.63min+106.87h |
| K=1000 | C2F | C2F+wt | | --- | --- | --- | | 0 | 82.25 | 86.78 | | 1000 | 80.23 | 83.95 | | 10,000 | 77.36 | 79.30 | | 100,000 | 71.64 | 72.73 | | 500,000 | 68.39 | 69.41 | | 1,000,000 | 67.26 | 69.15 |
0
| k=250 | k=500 | k=1000 | | | --- | --- | --- | --- | | SC | 14.37min+2.13h | 25.09min+14.96h | 55.63min+106.87h | | us | 0.12min+2.55h | 0.19min+22.75h | 0.52min+104.82h |
| Cus | 0.12min+11.36h | 0.19min+17.22h | 0.52min+58.46h | | --- | --- | --- | --- | | CSC | 2.34min+9.74h | 3.73min+21.07h | 2.61min+35.47h |
1
| k=250 | k=500 | k=1000 | | | --- | --- | --- | --- | | SC | 14.37min+2.13h | 25.09min+14.96h | 55.63min+106.87h | | us | 0.12min+2.55h | 0.19min+22.75h | 0.52min+104.82h |
| 1000 | 80.23 | 83.95 | | --- | --- | --- | | 10,000 | 77.36 | 79.30 | | 100,000 | 71.64 | 72.73 | | 500,000 | 68.39 | 69.41 | | 1,000,000 | 67.26 | 69.15 |
0
| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample | | --- | --- | --- | --- | | 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9391.017<br>10.48311.404<br>111.442121.697<br>0.7670.834<br>3.3173.632<br>14.24015.535 | 0.2324.00.505<br>2.1684.84.813<br>20.7705.423.703<br>0.21...
| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 0.9261.006<br>9.96110.864<br>100.551109.778<br>0.7650.826<br>3.2753.555<br>13.60714.830 | 0.2383.91.086<br>2.2504.44.002<br>19.9005.123.386<br>0.1934.00.304<br>0.7044.71.377<br>2.8654.73.751 | 0.1546.00.183<br>2.0144.92.262<br>18.2735.524....
1
| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample | | --- | --- | --- | --- | | 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9391.017<br>10.48311.404<br>111.442121.697<br>0.7670.834<br>3.3173.632<br>14.24015.535 | 0.2324.00.505<br>2.1684.84.813<br>20.7705.423.703<br>0.21...
| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample | | --- | --- | --- | --- | | 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9401.022<br>10.49211.421<br>112.110122.450<br>0.7810.848<br>3.3203.639<br>14.33515.638 | 0.2433.91.027<br>2.2444.79.085<br>20.9645.331.643<br>0.22...
0
| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample | | --- | --- | --- | --- | | 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9391.017<br>10.48311.404<br>111.442121.697<br>0.7670.834<br>3.3173.632<br>14.24015.535 | 0.2324.00.505<br>2.1684.84.813<br>20.7705.423.703<br>0.21...
| 10000000<br>100000000<br>Buckets1000000000<br>8388607<br>33554431<br>134217727 | 0.8640.950<br>10.05011.190<br>104.524116.298<br>0.7110.774<br>3.0923.408<br>13.36314.724 | 0.2343.70.980<br>1.8935.35.331<br>20.7455.024.175<br>0.1694.20.404<br>0.5935.21.931<br>2.3155.82.951 | 0.1167.50.140<br>1.3577.41.679<br>14.5357.2...
1
| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample | | --- | --- | --- | --- | | 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9391.017<br>10.48311.404<br>111.442121.697<br>0.7670.834<br>3.3173.632<br>14.24015.535 | 0.2324.00.505<br>2.1684.84.813<br>20.7705.423.703<br>0.21...
| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 0.9371.017<br>9.97110.883<br>101.042110.295<br>0.7850.847<br>3.3283.609<br>13.61314.859 | 0.2453.81.189<br>2.3104.37.713<br>20.1515.034.062<br>0.2053.80.794<br>0.7274.63.403<br>2.8814.710.175 | 0.1546.10.184<br>2.0254.92.280<br>18.3855.524...
0
| ReviewsCorpus | MC | Claim | Premise | PSIC | NA | | --- | --- | --- | --- | --- | --- | | MC | 0.481 | 0.262 | 0.067 | 0.005 | 0.183 | | Claim | 0.031 | 0.755 | 0.139 | 0.009 | 0.064 |
| Premise | 0.009 | 0.168 | 0.679 | 0.019 | 0.123 | | --- | --- | --- | --- | --- | --- | | PSIC | 0.009 | 0.126 | 0.209 | 0.453 | 0.200 | | NA | 0.058 | 0.173 | 0.273 | 0.416 | 0.453 | | SentencesCorpus | MC | Claim | Premise | PSIC | NA | | MC | 0.800 | 0.088 | 0.026 | 0.002 | 0.082 | | Claim | 0.012 | 0.877 | 0.074 ...
1
| ReviewsCorpus | MC | Claim | Premise | PSIC | NA | | --- | --- | --- | --- | --- | --- | | MC | 0.481 | 0.262 | 0.067 | 0.005 | 0.183 | | Claim | 0.031 | 0.755 | 0.139 | 0.009 | 0.064 |
| Method | Rating | Setup1 | Setup2 | | --- | --- | --- | --- | | Likert | naturalness | 0.07 | 0.12 | | quality | 0.02 | 0.41* | | | informativeness | 0.93* | 0.78* | | | PlainME | naturalness | -0.03 | 0.27* | | quality | 0.22* | 0.60* | | | informativeness | 0.59* | 0.79* | | | RankME | naturalness | 0.11 | 0.42...
0
| ReviewsCorpus | MC | Claim | Premise | PSIC | NA | | --- | --- | --- | --- | --- | --- | | MC | 0.481 | 0.262 | 0.067 | 0.005 | 0.183 | | Claim | 0.031 | 0.755 | 0.139 | 0.009 | 0.064 |
| Premise | 0.009 | 0.168 | 0.679 | 0.019 | 0.123 | | --- | --- | --- | --- | --- | --- | | PSIC | 0.009 | 0.126 | 0.209 | 0.453 | 0.200 | | NA | 0.058 | 0.173 | 0.273 | 0.416 | 0.453 | | SentencesCorpus | MC | Claim | Premise | PSIC | NA | | MC | 0.800 | 0.088 | 0.026 | 0.002 | 0.082 | | Claim | 0.012 | 0.877 | 0.074 ...
1
| ReviewsCorpus | MC | Claim | Premise | PSIC | NA | | --- | --- | --- | --- | --- | --- | | MC | 0.481 | 0.262 | 0.067 | 0.005 | 0.183 | | Claim | 0.031 | 0.755 | 0.139 | 0.009 | 0.064 |
| informativeness | 0.59* | 0.79* | | | --- | --- | --- | --- | | RankME | naturalness | 0.11 | 0.42* | | quality | 0.10 | 0.68* | | | informativeness | 0.72* | 0.82* | |
0
| IU | Goals | TaskStates | Abilities | Behaviours | | --- | --- | --- | --- | --- | | 1 | Final,wetbrush | teethdirty,tapoff | Af:tap | Turnontap |
| 2 | Final,wetbrush | teethdirty,brushonsurface | Rn:brushonsurface | Takebrushfromsurface | | --- | --- | --- | --- | --- | | 3 | Final,wetbrush | teethdirty,brushincup | Rn:brushincup | Takebrushfromcup | | 4 | Final,wetbrush | teethdirty,tapon,brushinhand | Af:water | Wetbrush |
1
| IU | Goals | TaskStates | Abilities | Behaviours | | --- | --- | --- | --- | --- | | 1 | Final,wetbrush | teethdirty,tapoff | Af:tap | Turnontap |
| IU | Goals | TaskStates | Abilities | Behaviours | | --- | --- | --- | --- | --- | | 1 | HandsClean,HandsWashed | handscdirty | Af:dispenser | Latherhands | | 2 | HandsClean,HandsWashed | tapoff | Rn:tapoff | Turnontap | | 3 | HandsClean,HandsWashed | handscsoapy,tapon | Af:water | Rinsehands | | 4 | HandsClean,HandsWa...
0
| IU | Goals | TaskStates | Abilities | Behaviours | | --- | --- | --- | --- | --- | | 1 | Final,wetbrush | teethdirty,tapoff | Af:tap | Turnontap |
| 2 | Final,wetbrush | teethdirty,brushonsurface | Rn:brushonsurface | Takebrushfromsurface | | --- | --- | --- | --- | --- | | 3 | Final,wetbrush | teethdirty,brushincup | Rn:brushincup | Takebrushfromcup | | 4 | Final,wetbrush | teethdirty,tapon,brushinhand | Af:water | Wetbrush |
1
| IU | Goals | TaskStates | Abilities | Behaviours | | --- | --- | --- | --- | --- | | 1 | Final,wetbrush | teethdirty,tapoff | Af:tap | Turnontap |
| 3 | HandsClean,HandsWashed | handscsoapy,tapon | Af:water | Rinsehands | | --- | --- | --- | --- | --- | | 4 | HandsClean,HandsWashed | handscclean,handswwet | Af:towel | Dryhands | | 5 | HandsClean,HandsWashed | handscclean,tapon | Rn:tapon | Turnofftap | | 6 | HandsClean,HandsWashed | handscclean,handswdry<br>tapoff ...
0
| R&GNo | R&Gpair | R&GSimilarity | Lee2014 | | --- | --- | --- | --- | | 1 | cordsmile | 0.005 | 0.01 | | 2 | noonstring | 0.01 | 0.005 | | 3 | roostervoyage | 0.01 | 0.0125 | | 4 | fruitfurnace | 0.0125 | 0.0475 | | 5 | autographshore | 0.015 | 0.005 | | 6 | automobilewizard | 0.0275 | 0.02 | | 7 | moundstove | 0.035...
| 44 | foodfruit | 0.6725 | 0.2425 | | --- | --- | --- | --- | | 45 | brothermonk | 0.685 | 0.045 | | 46 | asylummadhouse | 0.76 | 0.215 | | 47 | furnacestove | 0.7775 | 0.3475 | | 48 | magicianwizard | 0.8025 | 0.355 | | 49 | hillmound | 0.8225 | 0.2925 | | 50 | cordstring | 0.8525 | 0.47 | | 51 | glasstumbler | 0.862...
1
| R&GNo | R&Gpair | R&GSimilarity | Lee2014 | | --- | --- | --- | --- | | 1 | cordsmile | 0.005 | 0.01 | | 2 | noonstring | 0.01 | 0.005 | | 3 | roostervoyage | 0.01 | 0.0125 | | 4 | fruitfurnace | 0.0125 | 0.0475 | | 5 | autographshore | 0.015 | 0.005 | | 6 | automobilewizard | 0.0275 | 0.02 | | 7 | moundstove | 0.035...
| R&GNo | R&Gpair | ProposedAlgorithm<br>Similarity | A.Islam2008 | | --- | --- | --- | --- | | 1 | cordsmile | 0.0899021679 | 0.06 | | 5 | autographshore | 0.0742552483 | 0.11 | | 9 | asylumfruit | 0.0720444643 | 0.07 | | 12 | boyrooster | 0.0907164485 | 0.16 | | 17 | coastforest | 0.1106378337 | 0.26 | | 21 | boysage...
0
| R&GNo | R&Gpair | R&GSimilarity | Lee2014 | | --- | --- | --- | --- | | 1 | cordsmile | 0.005 | 0.01 | | 2 | noonstring | 0.01 | 0.005 | | 3 | roostervoyage | 0.01 | 0.0125 | | 4 | fruitfurnace | 0.0125 | 0.0475 | | 5 | autographshore | 0.015 | 0.005 | | 6 | automobilewizard | 0.0275 | 0.02 | | 7 | moundstove | 0.035...
| 24 | ladwizard | 0.2475 | 0.0325 | | --- | --- | --- | --- | | 25 | forestgraveyard | 0.25 | 0.065 | | 26 | foodrooster | 0.2725 | 0.055 | | 27 | cemeterywoodland | 0.295 | 0.0375 | | 28 | shorevoyage | 0.305 | 0.02 | | 29 | birdwoodland | 0.31 | 0.0125 | | 30 | coasthill | 0.315 | 0.1 | | 31 | furnaceimplement | 0.3...
1
| R&GNo | R&Gpair | R&GSimilarity | Lee2014 | | --- | --- | --- | --- | | 1 | cordsmile | 0.005 | 0.01 | | 2 | noonstring | 0.01 | 0.005 | | 3 | roostervoyage | 0.01 | 0.0125 | | 4 | fruitfurnace | 0.0125 | 0.0475 | | 5 | autographshore | 0.015 | 0.005 | | 6 | automobilewizard | 0.0275 | 0.02 | | 7 | moundstove | 0.035...
| 5 | autographshore | 0.0742552483 | 0.11 | | --- | --- | --- | --- | | 9 | asylumfruit | 0.0720444643 | 0.07 | | 12 | boyrooster | 0.0907164485 | 0.16 | | 17 | coastforest | 0.1106378337 | 0.26 | | 21 | boysage | 0.2017739882 | 0.16 | | 25 | forestgraveyard | 0.2015952767 | 0.33 | | 29 | birdwoodland | 0.1651985693 |...
0
| Replacedcharactersequence | Replacedby | | --- | --- | | tu | tsu | | ti | chi | | sya | sha |
| syo | sho | | --- | --- | | syu | shu | | zya | ja | | zyo | jo | | zyu | ju | | tya | cha | | tyo | cho | | tyu | chu | | si | shi | | hu | fu | | zi | ji | | jya | ja | | jyo | jo | | jyu | ju | | l | r |
1
| Replacedcharactersequence | Replacedby | | --- | --- | | tu | tsu | | ti | chi | | sya | sha |
| Token | Language | | --- | --- | | bhai | hi | | triple | en | | talaq | hi | | se | hi | | aap | hi | | kya | hi | | samjhte | hi | | hai | hi | | samjhaye | hi | | aap | hi | | zara | hi | | .. | rest | | agar | hi | | triple | en | | talaq | hi | | pta | hi | | hota | hi | | apko | hi | | toh | hi | | aisa | hi | ...
0
| Replacedcharactersequence | Replacedby | | --- | --- | | tu | tsu | | ti | chi | | sya | sha | | syo | sho | | syu | shu |
| zya | ja | | --- | --- | | zyo | jo | | zyu | ju | | tya | cha | | tyo | cho | | tyu | chu | | si | shi | | hu | fu | | zi | ji | | jya | ja | | jyo | jo | | jyu | ju | | l | r |
1
| Replacedcharactersequence | Replacedby | | --- | --- | | tu | tsu | | ti | chi | | sya | sha | | syo | sho | | syu | shu |
| aap | hi | | --- | --- | | zara | hi | | .. | rest | | agar | hi | | triple | en | | talaq | hi | | pta | hi | | hota | hi | | apko | hi | | toh | hi | | aisa | hi | | nhi | en | | kehte | hi | | .. | rest |
0
| Model | Pre | Rec | F1 | | --- | --- | --- | --- | | semi+distant | 0.73 | 0.64 | 0.682 | | no-distant | 0.70 | 0.65 | 0.674 |
| one-step(CRF) | 0.67 | 0.64 | 0.655 | | --- | --- | --- | --- | | rule | 0.80 | 0.30 | 0.436 |
1
| Model | Pre | Rec | F1 | | --- | --- | --- | --- | | semi+distant | 0.73 | 0.64 | 0.682 | | no-distant | 0.70 | 0.65 | 0.674 |
| Model | Pre | Rec | F1 | | --- | --- | --- | --- | | semi+distant | 0.73 | 0.64 | 0.682 | | no-distant | 0.70 | 0.65 | 0.674 | | one-step(CRF) | 0.67 | 0.64 | 0.655 | | rule | 0.80 | 0.30 | 0.436 |
0
| Model | Pre | Rec | F1 | | --- | --- | --- | --- | | semi+distant | 0.73 | 0.64 | 0.682 | | no-distant | 0.70 | 0.65 | 0.674 |
| one-step(CRF) | 0.67 | 0.64 | 0.655 | | --- | --- | --- | --- | | rule | 0.80 | 0.30 | 0.436 |
1
| Model | Pre | Rec | F1 | | --- | --- | --- | --- | | semi+distant | 0.73 | 0.64 | 0.682 | | no-distant | 0.70 | 0.65 | 0.674 |
| no-distant | 0.70 | 0.65 | 0.674 | | --- | --- | --- | --- | | one-step(CRF) | 0.67 | 0.64 | 0.655 | | rule | 0.80 | 0.30 | 0.436 |
0
| Error | Frequency | | --- | --- | | Earlystart | 398 |
| Latestart | 77 | | --- | --- | | Earlyend | 116 | | Lateend | 115 |
1
| Error | Frequency | | --- | --- | | Earlystart | 398 |
| Identifier | DateandTimestampofLog-on | DurationofPrecedingPowerOutage | | --- | --- | --- | | Log-on1 | 23rdFeb.23:57Z | Between381and442minutes | | Log-on2 | 26thFeb.14:11Z | Between295and354minutes | | Log-on3 | 5thMar.03:06Z | Between35and95minutes | | Log-on4 | 6thMar.13:29Z | Between43and103minutes | | Log-on5 |...
0
| Error | Frequency | | --- | --- | | Earlystart | 398 |
| Latestart | 77 | | --- | --- | | Earlyend | 116 | | Lateend | 115 |
1
| Error | Frequency | | --- | --- | | Earlystart | 398 |
| Log-on2 | 26thFeb.14:11Z | Between295and354minutes | | --- | --- | --- | | Log-on3 | 5thMar.03:06Z | Between35and95minutes | | Log-on4 | 6thMar.13:29Z | Between43and103minutes | | Log-on5 | 6thMar.15:02Z | Between35and92minutes | | Log-on6 | 7thMar.12:50Z | Between228and288minutes | | Log-on7 | 7thMar.18:25Z | Betwee...
0