premise string | hypothesis string | label int64 |
|---|---|---|
| | |
| --- | --- |
| Verifier<br>Communication<br>Prover | Verify()+EEA<br>SeqCertCommunicate()+2n<br>SeqCertCompute() | | | | |
| --- | --- |
| Verifier<br>Communication<br>Prover | Verifier()<br>MinPolyPreCondCycCommunicate(+)<br>MinPolyPreCondCycCompute(+) |
| | |
| Verifier<br>Communication<br>Prover | Verify()+2n<br>DetCommunicate()+n<br>CharPolyDetCompute()+Compute() | | 1 |
| | |
| --- | --- |
| Verifier<br>Communication<br>Prover | Verify()+EEA<br>SeqCertCommunicate()+2n<br>SeqCertCompute() | | | Problem | Input | Output |
| --- | --- | --- |
| SEQ-IC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>includingPasasubsequence |
| STR-IC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>includingPasasubstring |
| SEQ-EC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>excludingPasasubsequence |
| STR-EC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>excludingPasasubstring | | 0 |
| | |
| --- | --- |
| Verifier<br>Communication<br>Prover | Verify()+EEA<br>SeqCertCommunicate()+2n<br>SeqCertCompute() |
| | | | | Verifier<br>Communication<br>Prover | Verifier()<br>MinPolyPreCondCycCommunicate(+)<br>MinPolyPreCondCycCompute(+) |
| --- | --- |
| | |
| Verifier<br>Communication<br>Prover | Verify()+2n<br>DetCommunicate()+n<br>CharPolyDetCompute()+Compute() | | 1 |
| | |
| --- | --- |
| Verifier<br>Communication<br>Prover | Verify()+EEA<br>SeqCertCommunicate()+2n<br>SeqCertCompute() |
| | | | | STR-IC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>includingPasasubstring |
| --- | --- | --- |
| SEQ-EC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>excludingPasasubsequence |
| STR-EC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>excludingPasasubstring | | 0 |
| TCNSettings | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Dataset/Task | Subtask | k | n | Hidden | Dropout | GradClip | Note |
| TheAddingProblem | T=200<br>T=400<br>T=600 | 6<br>7<br>8 | 7<br>7<br>8 | 27<br>27<br>24 | 0.0 | N/A | | | | Seq.MNIST | - | 7<br>6 | 8<br>8 | 25<br>20 | 0.0 | N/A | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| PermutedMNIST | - | 7<br>6 | 8<br>8 | 25<br>20 | 0.0 | N/A | |
| CopyMemoryTask | T=500<br>T=1000<br>T=2000 | 6<br>8<br>8 | 9<br>8<br>9 | 10<br>10<br>10 | 0.05 | 1.0 | RMSprop5e-4 |
| MusicJSBChorales | - | 3 | 2 | 150 | 0.5 | 0.4 | |
| MusicNottingham | - | 6 | 4 | 150 | 0.2 | 0.4 | |
| Word-levelLM | PTB<br>Wiki-103<br>LAMBADA | 3<br>3<br>4 | 4<br>5<br>5 | 600<br>1000<br>500 | 0.5<br>0.4 | 0.4 | Embed.size600<br>Embed.size400<br>Embed.size500 |
| Char-levelLM | PTB<br>text8 | 3<br>2 | 3<br>5 | 450<br>520 | 0.1 | 0.15 | Embed.size100 | | 1 |
| TCNSettings | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Dataset/Task | Subtask | k | n | Hidden | Dropout | GradClip | Note |
| TheAddingProblem | T=200<br>T=400<br>T=600 | 6<br>7<br>8 | 7<br>7<br>8 | 27<br>27<br>24 | 0.0 | N/A | | | | Thesourceof<br>featurestatistics | DTW | Histogram | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| | | | | | | |
| MCYT<br>SUSIG<br>NYU | 0.27<br>0.15<br>n.a. | 0.06<br>0.32<br>n.a. | 0.082<br>0.3<br>0.28 | 0.78<br>0.47<br>n.a. | 0.37<br>0.68<br>n.a. | 0.33<br>0.59<br>0.71 |
| Genericassumption | 0.34 | 0.19 | 0.17 | 0.50 | 0.57 | 0.56 | | 0 |
| TCNSettings | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Dataset/Task | Subtask | k | n | Hidden | Dropout | GradClip | Note |
| TheAddingProblem | T=200<br>T=400<br>T=600 | 6<br>7<br>8 | 7<br>7<br>8 | 27<br>27<br>24 | 0.0 | N/A | |
| Seq.MNIST | - | 7<br>6 | 8<br>8 | 25<br>20 | 0.0 | N/A | |
| PermutedMNIST | - | 7<br>6 | 8<br>8 | 25<br>20 | 0.0 | N/A | |
| CopyMemoryTask | T=500<br>T=1000<br>T=2000 | 6<br>8<br>8 | 9<br>8<br>9 | 10<br>10<br>10 | 0.05 | 1.0 | RMSprop5e-4 |
| MusicJSBChorales | - | 3 | 2 | 150 | 0.5 | 0.4 | |
| MusicNottingham | - | 6 | 4 | 150 | 0.2 | 0.4 | | | | Word-levelLM | PTB<br>Wiki-103<br>LAMBADA | 3<br>3<br>4 | 4<br>5<br>5 | 600<br>1000<br>500 | 0.5<br>0.4 | 0.4 | Embed.size600<br>Embed.size400<br>Embed.size500 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Char-levelLM | PTB<br>text8 | 3<br>2 | 3<br>5 | 450<br>520 | 0.1 | 0.15 | Embed.size100 | | 1 |
| TCNSettings | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Dataset/Task | Subtask | k | n | Hidden | Dropout | GradClip | Note |
| TheAddingProblem | T=200<br>T=400<br>T=600 | 6<br>7<br>8 | 7<br>7<br>8 | 27<br>27<br>24 | 0.0 | N/A | |
| Seq.MNIST | - | 7<br>6 | 8<br>8 | 25<br>20 | 0.0 | N/A | |
| PermutedMNIST | - | 7<br>6 | 8<br>8 | 25<br>20 | 0.0 | N/A | |
| CopyMemoryTask | T=500<br>T=1000<br>T=2000 | 6<br>8<br>8 | 9<br>8<br>9 | 10<br>10<br>10 | 0.05 | 1.0 | RMSprop5e-4 |
| MusicJSBChorales | - | 3 | 2 | 150 | 0.5 | 0.4 | |
| MusicNottingham | - | 6 | 4 | 150 | 0.2 | 0.4 | | | | MCYT<br>SUSIG<br>NYU | 0.27<br>0.15<br>n.a. | 0.06<br>0.32<br>n.a. | 0.082<br>0.3<br>0.28 | 0.78<br>0.47<br>n.a. | 0.37<br>0.68<br>n.a. | 0.33<br>0.59<br>0.71 |
| --- | --- | --- | --- | --- | --- | --- |
| Genericassumption | 0.34 | 0.19 | 0.17 | 0.50 | 0.57 | 0.56 | | 0 |
| Year | Journal |
| --- | --- |
| 2000 | α |
| τ[yrs] | |
| A[yrs]0 | |
| 1989-91 | α | | | τ[yrs] |
| --- |
| A[yrs]0 | | 1 |
| Year | Journal |
| --- | --- |
| 2000 | α |
| τ[yrs] | |
| A[yrs]0 | |
| 1989-91 | α | | | Papers | Year |
| --- | --- |
| | 2005 |
| | 2006 |
| | 2007 |
| | 2008 |
| | 2010 |
| | 2011 |
| | 2012 |
| | 2013 |
| | 2014 |
| | 2015 |
| | 2016 |
| | 2017 | | 0 |
| Year | Journal |
| --- | --- |
| 2000 | α |
| τ[yrs] | |
| A[yrs]0 | |
| 1989-91 | α | | | τ[yrs] |
| --- |
| A[yrs]0 | | 1 |
| Year | Journal |
| --- | --- |
| 2000 | α |
| τ[yrs] | |
| A[yrs]0 | |
| 1989-91 | α | | | | 2014 |
| --- | --- |
| | 2015 |
| | 2016 |
| | 2017 | | 0 |
| OriginalContent | Retweets | | |
| --- | --- | --- | --- |
| nachdem | 32 | eu | 62 |
| eu | 30 | european | 54 |
| fr | 25 | uk | 41 |
| may | 21 | doorstep | 35 |
| gibt | 21 | council | 35 |
| merkel | 21 | la | 28 |
| negativen | 20 | deal | 26 | | | frau | 20 | vote | 24 |
| --- | --- | --- | --- |
| folgen | 20 | britain | 24 |
| neue | 19 | special | 22 | | 1 |
| OriginalContent | Retweets | | |
| --- | --- | --- | --- |
| nachdem | 32 | eu | 62 |
| eu | 30 | european | 54 |
| fr | 25 | uk | 41 |
| may | 21 | doorstep | 35 |
| gibt | 21 | council | 35 |
| merkel | 21 | la | 28 |
| negativen | 20 | deal | 26 | | | Allotherdays | | 23rdJune2016 | |
| --- | --- | --- | --- |
| #brexit | 787 | #britaininout | 378 |
| #eu | 148 | #euref | 354 |
| #merkelmussbleiben | 125 | #brexitornot | 211 |
| #merkel | 110 | #goodbyeuk | 187 |
| #euco | 89 | #brexitinout | 186 |
| #ukineu | 64 | #remainineu | 168 |
| #may | 60 | #brexit | 38 |
| #uk | 33 | #reasonstoleaveeu | 14 |
| #article50 | 31 | #eu | 10 |
| #girlstalkselfies | 18 | #uk | 8 | | 0 |
| OriginalContent | Retweets | | |
| --- | --- | --- | --- |
| nachdem | 32 | eu | 62 |
| eu | 30 | european | 54 |
| fr | 25 | uk | 41 |
| may | 21 | doorstep | 35 |
| gibt | 21 | council | 35 |
| merkel | 21 | la | 28 |
| negativen | 20 | deal | 26 |
| frau | 20 | vote | 24 | | | folgen | 20 | britain | 24 |
| --- | --- | --- | --- |
| neue | 19 | special | 22 | | 1 |
| OriginalContent | Retweets | | |
| --- | --- | --- | --- |
| nachdem | 32 | eu | 62 |
| eu | 30 | european | 54 |
| fr | 25 | uk | 41 |
| may | 21 | doorstep | 35 |
| gibt | 21 | council | 35 |
| merkel | 21 | la | 28 |
| negativen | 20 | deal | 26 |
| frau | 20 | vote | 24 | | | #article50 | 31 | #eu | 10 |
| --- | --- | --- | --- |
| #girlstalkselfies | 18 | #uk | 8 | | 0 |
| Fig.No | T−T | m(E,t=0)t | Plotting |
| --- | --- | --- | --- |
| ?? | 20 | 1 | Pv.s(t,E) |
| ?? | 20 | 1 | Pv.st | | | ?? | 20 | 1 | mv.s(t,E)t |
| --- | --- | --- | --- |
| ?? | 20 | 0ifE≤18,else1 | mv.s(t,E)t |
| ?? | 120 | 1 | Pv.st |
| ?? | 120 | 1 | v(E,t=0)v.sEt | | 1 |
| Fig.No | T−T | m(E,t=0)t | Plotting |
| --- | --- | --- | --- |
| ?? | 20 | 1 | Pv.s(t,E) |
| ?? | 20 | 1 | Pv.st | | | T=1 | T=3 |
| --- | --- |
| 1.6839 | 0.7567 |
| 1.6639 | 0.7684 |
| 1.6090 | 0.8258 |
| 1.6793 | 0.8017 |
| 1.5191 | 0.7784 |
| 1.4991 | 0.8218 |
| 1.4101 | 0.8027 |
| 1.3879 | 0.7786 |
| 1.4162 | 0.7408 | | 0 |
| Fig.No | T−T | m(E,t=0)t | Plotting |
| --- | --- | --- | --- |
| ?? | 20 | 1 | Pv.s(t,E) | | | ?? | 20 | 1 | Pv.st |
| --- | --- | --- | --- |
| ?? | 20 | 1 | mv.s(t,E)t |
| ?? | 20 | 0ifE≤18,else1 | mv.s(t,E)t |
| ?? | 120 | 1 | Pv.st |
| ?? | 120 | 1 | v(E,t=0)v.sEt | | 1 |
| Fig.No | T−T | m(E,t=0)t | Plotting |
| --- | --- | --- | --- |
| ?? | 20 | 1 | Pv.s(t,E) | | | 1.4991 | 0.8218 |
| --- | --- |
| 1.4101 | 0.8027 |
| 1.3879 | 0.7786 |
| 1.4162 | 0.7408 | | 0 |
| ODS | OIS |
| --- | --- |
| .651<br>.631<br>.687<br>.695<br>.706 | .667<br>.661<br>.716<br>.708<br>.734 | | | .720<br>.682<br>.746 | .734<br>.695<br>.761 |
| --- | --- |
| .729<br>.705<br>.757 | .742<br>.715<br>.771 |
| .739<br>.707<br>.762 | .754<br>.719<br>.778 | | 1 |
| ODS | OIS |
| --- | --- |
| .651<br>.631<br>.687<br>.695<br>.706 | .667<br>.661<br>.716<br>.708<br>.734 | | | 8<br>4<br>2 | 895542<br>1791084<br>3582168 | 934040<br>1808784<br>3585869 |
| --- | --- | --- |
| 8<br>4<br>2 | 3203546<br>6407091<br>7<br>1.2814·10 | 3219769<br>6427398<br>7<br>1.2827·10 |
| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |
| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |
| 8 | 6.4582·10 | 6.4651·10 | | 0 |
| ODS | OIS |
| --- | --- |
| .651<br>.631<br>.687<br>.695<br>.706 | .667<br>.661<br>.716<br>.708<br>.734 | | | .720<br>.682<br>.746 | .734<br>.695<br>.761 |
| --- | --- |
| .729<br>.705<br>.757 | .742<br>.715<br>.771 |
| .739<br>.707<br>.762 | .754<br>.719<br>.778 | | 1 |
| ODS | OIS |
| --- | --- |
| .651<br>.631<br>.687<br>.695<br>.706 | .667<br>.661<br>.716<br>.708<br>.734 | | | 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |
| --- | --- | --- |
| 8 | 6.4582·10 | 6.4651·10 | | 0 |
| n | n/2<br>2 | m | 12<br>m<br>m!2n | m<br>2 |
| --- | --- | --- | --- | --- |
| 100 | 1.12×10 | 6 | 7.49×10 | 1.08×10 | | | 150 | 3.77×10 | 7 | 1.84×10 | 7.96×10 |
| --- | --- | --- | --- | --- |
| 200 | 1.26×10 | 8 | 5.54×10 | 1.12×10 |
| 250 | 4.25×10 | 9 | 4.97×10 | 5.29×10 |
| 300 | 1.42×10 | 10 | 2.07×10 | 1.15×10 |
| 310 | 4.56×10 | 10 | 6.13×10 | 4.61×10 |
| 350 | 4.78×10 | 10 | 4.21×10 | 1.18×10 |
| 400 | 1.60×10 | 11 | 5.92×10 | 7.81×10 |
| 409 | 3.63×10 | 11 | 1.36×10 | 2.43×10 |
| 450 | 5.39×10 | 11 | 5.68×10 | 4.26×10 |
| 500 | 1.80×10 | 12 | 4.08×10 | 1.21×10 |
| 571 | 8.79×10 | 12 | 1.21×10 | 4.44×10 | | 1 |
| n | n/2<br>2 | m | 12<br>m<br>m!2n | m<br>2 |
| --- | --- | --- | --- | --- |
| 100 | 1.12×10 | 6 | 7.49×10 | 1.08×10 | | | M | RunningTime(sec) | M | RunningTime(sec) |
| --- | --- | --- | --- |
| 1 | −2<br>1.10×10 | 40 | −1<br>3.74×10 |
| 2 | 2.04×10 | 50 | 4.61×10 |
| 4 | 3.51×10 | 80 | 7.46×10 |
| 5 | 5.01×10 | 100 | 9.32×10 |
| 8 | 8.24×10 | 200 | 1.81 |
| 10 | 9.02×10 | 250 | 2.41 |
| 16 | 1.60×10 | 400 | 3.90 |
| 20 | 1.84×10 | 500 | 5.14 |
| 25 | 2.38×10 | 1,000 | 11.31 | | 0 |
| n | n/2<br>2 | m | 12<br>m<br>m!2n | m<br>2 |
| --- | --- | --- | --- | --- |
| 100 | 1.12×10 | 6 | 7.49×10 | 1.08×10 |
| 150 | 3.77×10 | 7 | 1.84×10 | 7.96×10 |
| 200 | 1.26×10 | 8 | 5.54×10 | 1.12×10 |
| 250 | 4.25×10 | 9 | 4.97×10 | 5.29×10 |
| 300 | 1.42×10 | 10 | 2.07×10 | 1.15×10 | | | 310 | 4.56×10 | 10 | 6.13×10 | 4.61×10 |
| --- | --- | --- | --- | --- |
| 350 | 4.78×10 | 10 | 4.21×10 | 1.18×10 |
| 400 | 1.60×10 | 11 | 5.92×10 | 7.81×10 |
| 409 | 3.63×10 | 11 | 1.36×10 | 2.43×10 |
| 450 | 5.39×10 | 11 | 5.68×10 | 4.26×10 |
| 500 | 1.80×10 | 12 | 4.08×10 | 1.21×10 |
| 571 | 8.79×10 | 12 | 1.21×10 | 4.44×10 | | 1 |
| n | n/2<br>2 | m | 12<br>m<br>m!2n | m<br>2 |
| --- | --- | --- | --- | --- |
| 100 | 1.12×10 | 6 | 7.49×10 | 1.08×10 |
| 150 | 3.77×10 | 7 | 1.84×10 | 7.96×10 |
| 200 | 1.26×10 | 8 | 5.54×10 | 1.12×10 |
| 250 | 4.25×10 | 9 | 4.97×10 | 5.29×10 |
| 300 | 1.42×10 | 10 | 2.07×10 | 1.15×10 | | | 4 | 3.51×10 | 80 | 7.46×10 |
| --- | --- | --- | --- |
| 5 | 5.01×10 | 100 | 9.32×10 |
| 8 | 8.24×10 | 200 | 1.81 |
| 10 | 9.02×10 | 250 | 2.41 |
| 16 | 1.60×10 | 400 | 3.90 |
| 20 | 1.84×10 | 500 | 5.14 |
| 25 | 2.38×10 | 1,000 | 11.31 | | 0 |
| Problems | sC<br>Lines | s-to-P<br>(s) | Object<br>(s) | Enum<br>(s) | P-to-E<br>(s) | Total<br>(s) | Ecl<br>Lines |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Golfers | 31 | 0.276 | 0.340 | 0.080 | 0.075 | 0.771 | 37 |
| Engine | 112 | 0.292 | 0.641 | 0.146 | 0.087 | 1.166 | 78 |
| Send | 16 | 0.289 | 0.273 | - | 0.089 | 0.651 | 21 | | | Marriage | 46 | 0.330 | 0.469 | 0.085 | 0.067 | 0.951 | 26 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 10-Q | 14 | 0.279 | 0.252 | - | 0.033 | 0.564 | 12 | | 1 |
| Problems | sC<br>Lines | s-to-P<br>(s) | Object<br>(s) | Enum<br>(s) | P-to-E<br>(s) | Total<br>(s) | Ecl<br>Lines |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Golfers | 31 | 0.276 | 0.340 | 0.080 | 0.075 | 0.771 | 37 |
| Engine | 112 | 0.292 | 0.641 | 0.146 | 0.087 | 1.166 | 78 |
| Send | 16 | 0.289 | 0.273 | - | 0.089 | 0.651 | 21 | | | Inputtype | Acc | JGM | GoogleIT | KNPTC |
| --- | --- | --- | --- | --- |
| CP | W-Acc | 99.86 | 99.89 | 99.83 |
| S-Acc | 99.51 | 99.78 | 99.64 | |
| LAP | W-Acc | 55.06 | 90.19 | 93.11 |
| S-Acc | 0 | 78.20 | 83.40 | |
| GAP | W-Acc | 17.01 | 61.78 | 62.94 |
| S-Acc | 0 | 35.77 | 31.18 | |
| MP | W-Acc | 68.11 | 50.90 | 95.19 |
| S-Acc | 47.84 | 11.58 | 88.87 | |
| MIX | W-Acc | 68.69 | 84.09 | 91.25 |
| S-Acc | 44.85 | 70.58 | 83.22 | | | 0 |
| Problems | sC<br>Lines | s-to-P<br>(s) | Object<br>(s) | Enum<br>(s) | P-to-E<br>(s) | Total<br>(s) | Ecl<br>Lines |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Golfers | 31 | 0.276 | 0.340 | 0.080 | 0.075 | 0.771 | 37 |
| Engine | 112 | 0.292 | 0.641 | 0.146 | 0.087 | 1.166 | 78 | | | Send | 16 | 0.289 | 0.273 | - | 0.089 | 0.651 | 21 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Marriage | 46 | 0.330 | 0.469 | 0.085 | 0.067 | 0.951 | 26 |
| 10-Q | 14 | 0.279 | 0.252 | - | 0.033 | 0.564 | 12 | | 1 |
| Problems | sC<br>Lines | s-to-P<br>(s) | Object<br>(s) | Enum<br>(s) | P-to-E<br>(s) | Total<br>(s) | Ecl<br>Lines |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Golfers | 31 | 0.276 | 0.340 | 0.080 | 0.075 | 0.771 | 37 |
| Engine | 112 | 0.292 | 0.641 | 0.146 | 0.087 | 1.166 | 78 | | | S-Acc | 0 | 78.20 | 83.40 | |
| --- | --- | --- | --- | --- |
| GAP | W-Acc | 17.01 | 61.78 | 62.94 |
| S-Acc | 0 | 35.77 | 31.18 | |
| MP | W-Acc | 68.11 | 50.90 | 95.19 |
| S-Acc | 47.84 | 11.58 | 88.87 | |
| MIX | W-Acc | 68.69 | 84.09 | 91.25 |
| S-Acc | 44.85 | 70.58 | 83.22 | | | 0 |
| | SVMSVM(RR)SVM(SDB)SVM(RM)LFR |
| --- | --- |
| labelerror<br>bias<br>RRB | 0.1471(5.7e-17)0.2007(0.002)0.1869(0.004)0.1740(0.003)0.2299<br>0.1689(5.7e-17)0.0050(0.003)0.0036(0.009)0.0795(0.010)0.0020<br>0.2702(0.014)0.2926(0.004)0.3172(0.025)0.2545(0.007)n/a |
| | LRLR(RR)LR(SDB)LR(RM)DADT | | | labelerror<br>bias<br>RRB | 0.1478(4.8e-04)0.2077(0.004)0.1802(0.002)0.1810(0.003)0.1600<br>0.1968(0.003)0.0044(0.006)0.0060(0.011)0.0262(0.008)0.0090(0.015)<br>0.4647(0.013)0.4696(0.009)0.5402(0.011)0.4282(0.019)n/a |
| --- | --- |
| | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |
| labelerror<br>bias<br>RRB | 0.1529(0.002)0.2078(0.004)0.1822(0.005)0.1864(0.004)0.1860(0.004)<br>0.1856(0.012)0.0091(0.006)0.0013(0.007)0.0381(0.013)0.0682(0.004)<br>0.4372(0.032)0.4661(0.019)0.5461(0.015)0.4410(0.013)0.4321(0.016) | | 1 |
| | SVMSVM(RR)SVM(SDB)SVM(RM)LFR |
| --- | --- |
| labelerror<br>bias<br>RRB | 0.1471(5.7e-17)0.2007(0.002)0.1869(0.004)0.1740(0.003)0.2299<br>0.1689(5.7e-17)0.0050(0.003)0.0036(0.009)0.0795(0.010)0.0020<br>0.2702(0.014)0.2926(0.004)0.3172(0.025)0.2545(0.007)n/a |
| | LRLR(RR)LR(SDB)LR(RM)DADT | | | | SVMSVM(RR)SVM(SDB)SVM(RM)CND |
| --- | --- |
| labelerror<br>bias<br>RRB | 0.2823(0)0.2778(0.025)0.2979(0.022)0.3000(0.017)0.2757<br>0.0886(4.2e-17)0.0732(0.066)0.0266(0.085)0.0445(0.028)0.0327<br>0.6756(0.081)0.7827(0.054)0.8619(0.041)0.6232(0.070)n/a |
| | LRLR(RR)LR(SDB)LR(RM) |
| labelerror<br>bias<br>RRB | 0.2541(0.005)0.2656(0.020)0.2685(0.021)0.2625(0.011)<br>0.1383(0.014)0.0095(0.064)0.0142(0.219)0.0202(0.566)<br>0.3070(0.067)0.8564(0.045)0.8687(0.042)0.6741(0.045) |
| | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |
| labelerror<br>bias<br>RRB | 0.2602(0.009)0.2429(0.010)0.2745(0.010)0.2637(0.019)0.2859(0.016)<br>0.2617(0.272)0.0376(0.044)0.0034(0.064)0.0391(0.023)0.0093(0.035)<br>0.6774(0.219)0.8629(0.051)0.8596(0.067)0.6965(0.037)0.6879(0.042) | | 0 |
| | SVMSVM(RR)SVM(SDB)SVM(RM)LFR |
| --- | --- |
| labelerror<br>bias<br>RRB | 0.1471(5.7e-17)0.2007(0.002)0.1869(0.004)0.1740(0.003)0.2299<br>0.1689(5.7e-17)0.0050(0.003)0.0036(0.009)0.0795(0.010)0.0020<br>0.2702(0.014)0.2926(0.004)0.3172(0.025)0.2545(0.007)n/a |
| | LRLR(RR)LR(SDB)LR(RM)DADT |
| labelerror<br>bias<br>RRB | 0.1478(4.8e-04)0.2077(0.004)0.1802(0.002)0.1810(0.003)0.1600<br>0.1968(0.003)0.0044(0.006)0.0060(0.011)0.0262(0.008)0.0090(0.015)<br>0.4647(0.013)0.4696(0.009)0.5402(0.011)0.4282(0.019)n/a | | | | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |
| --- | --- |
| labelerror<br>bias<br>RRB | 0.1529(0.002)0.2078(0.004)0.1822(0.005)0.1864(0.004)0.1860(0.004)<br>0.1856(0.012)0.0091(0.006)0.0013(0.007)0.0381(0.013)0.0682(0.004)<br>0.4372(0.032)0.4661(0.019)0.5461(0.015)0.4410(0.013)0.4321(0.016) | | 1 |
| | SVMSVM(RR)SVM(SDB)SVM(RM)LFR |
| --- | --- |
| labelerror<br>bias<br>RRB | 0.1471(5.7e-17)0.2007(0.002)0.1869(0.004)0.1740(0.003)0.2299<br>0.1689(5.7e-17)0.0050(0.003)0.0036(0.009)0.0795(0.010)0.0020<br>0.2702(0.014)0.2926(0.004)0.3172(0.025)0.2545(0.007)n/a |
| | LRLR(RR)LR(SDB)LR(RM)DADT |
| labelerror<br>bias<br>RRB | 0.1478(4.8e-04)0.2077(0.004)0.1802(0.002)0.1810(0.003)0.1600<br>0.1968(0.003)0.0044(0.006)0.0060(0.011)0.0262(0.008)0.0090(0.015)<br>0.4647(0.013)0.4696(0.009)0.5402(0.011)0.4282(0.019)n/a | | | | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |
| --- | --- |
| labelerror<br>bias<br>RRB | 0.2602(0.009)0.2429(0.010)0.2745(0.010)0.2637(0.019)0.2859(0.016)<br>0.2617(0.272)0.0376(0.044)0.0034(0.064)0.0391(0.023)0.0093(0.035)<br>0.6774(0.219)0.8629(0.051)0.8596(0.067)0.6965(0.037)0.6879(0.042) | | 0 |
| App | StorageFraction | GCalgorithm | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| LR:80GB<br>Deca:152s/<br>1.6s | 0.8:0.2 | 2466s | 1918s | PS | 3102s | 2367s |
| | | | | | | |
| | | | | | | | | | PR:30GB<br>Deca:828s/<br>21.7s | 0.4:1.0 | 5544s | 3588s | PS | 5544s | 3588s |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| | | | | | | | | 1 |
| App | StorageFraction | GCalgorithm | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| LR:80GB<br>Deca:152s/<br>1.6s | 0.8:0.2 | 2466s | 1918s | PS | 3102s | 2367s |
| | | | | | | |
| | | | | | | | | | FileSize(MB) | No.OfAttackers | TrafficVol. |
| --- | --- | --- |
| 10 | 100 | 0.22GB |
| 50 | 500 | 0.67GB |
| 100 | 1500 | 1.67GB |
| 200 | 2000 | 3.23GB |
| 400 | 4000 | 5.91GB |
| 600 | 6000 | 9.14GB |
| 800 | 8000 | 12.37GB |
| 1000 | 10,000 | 15.83GB | | 0 |
| App | StorageFraction | GCalgorithm | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| LR:80GB<br>Deca:152s/<br>1.6s | 0.8:0.2 | 2466s | 1918s | PS | 3102s | 2367s |
| | | | | | | |
| | | | | | | |
| PR:30GB<br>Deca:828s/<br>21.7s | 0.4:1.0 | 5544s | 3588s | PS | 5544s | 3588s | | | | | | | | |
| --- | --- | --- | --- | --- | --- |
| | | | | | | | 1 |
| App | StorageFraction | GCalgorithm | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| LR:80GB<br>Deca:152s/<br>1.6s | 0.8:0.2 | 2466s | 1918s | PS | 3102s | 2367s |
| | | | | | | |
| | | | | | | |
| PR:30GB<br>Deca:828s/<br>21.7s | 0.4:1.0 | 5544s | 3588s | PS | 5544s | 3588s | | | 600 | 6000 | 9.14GB |
| --- | --- | --- |
| 800 | 8000 | 12.37GB |
| 1000 | 10,000 | 15.83GB | | 0 |
| | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| appear | .122 | .076 | .077 | .072 | .182 | .112 | .037 | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| | | | | | | |
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| | | | | | | |
| | | | | | | | | 1 |
| | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| appear | .122 | .076 | .077 | .072 | .182 | .112 | .037 | | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| state | .407 | .296 | .672 | .461 | .286 | .269 | .238 | .355 | .268 |
| | | | | | | | | | |
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| | | | | | | | | | | | 0 |
| | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| appear | .122 | .076 | .077 | .072 | .182 | .112 | .037 |
| | | | | | | | |
| | | | | | | | |
| | | | | | | | |
| | | | | | | | | | | | | |
| --- | --- | --- |
| | | | | 1 |
| | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| appear | .122 | .076 | .077 | .072 | .182 | .112 | .037 |
| | | | | | | | |
| | | | | | | | |
| | | | | | | | |
| | | | | | | | | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
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| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | | | 0 |
| n | Iterations |
| --- | --- |
| 50 | 6.06 |
| 60 | 7.35 |
| 70 | 8.59 | | | 100 | 11.93 |
| --- | --- |
| 500 | 65.89 |
| 1000 | 141.1 | | 1 |
| n | Iterations |
| --- | --- |
| 50 | 6.06 |
| 60 | 7.35 |
| 70 | 8.59 | | | 1 | 100 | 0.5 | 46.889 |
| --- | --- | --- | --- |
| 1 | 100 | 0.5 | 110.956 |
| 1 | 100 | 0.5 | 135.143 |
| 2 | 100 | 0.5 | 46.844 |
| 3 | 100 | 0.5 | 47.029 |
| 1 | 200 | 0.5 | 49.069 |
| 1 | 300 | 0.5 | 50.632 |
| 1 | 400 | 0.5 | 54.916 |
| 1 | 100 | 0 | 45.034 |
| 1 | 100 | 0.1 | 47.353 | | 0 |
| n | Iterations |
| --- | --- |
| 50 | 6.06 |
| 60 | 7.35 |
| 70 | 8.59 | | | 100 | 11.93 |
| --- | --- |
| 500 | 65.89 |
| 1000 | 141.1 | | 1 |
| n | Iterations |
| --- | --- |
| 50 | 6.06 |
| 60 | 7.35 |
| 70 | 8.59 | | | 1 | 300 | 0.5 | 50.632 |
| --- | --- | --- | --- |
| 1 | 400 | 0.5 | 54.916 |
| 1 | 100 | 0 | 45.034 |
| 1 | 100 | 0.1 | 47.353 | | 0 |
| SchematicStructure |
| --- |
| - | | | (V,P,(A,T),P,V) |
| --- |
| (V,P,A,P,V) |
| |
| (V,P,A,P,V) |
| | | 1 |
| SchematicStructure |
| --- |
| - | | | SchematicStructure |
| --- |
| - |
| (G,(GO,T),G) |
| |
| (G,T,G) |
| |
| |
| |
| (G,T,G) |
| |
| |
| | | 0 |
| SchematicStructure |
| --- |
| - |
| (V,P,(A,T),P,V) |
| (V,P,A,P,V) |
| | | | (V,P,A,P,V) |
| --- |
| | | 1 |
| SchematicStructure |
| --- |
| - |
| (V,P,(A,T),P,V) |
| (V,P,A,P,V) |
| | | | |
| --- |
| | | 0 |
| Metric | Accuracy | NMI | | |
| --- | --- | --- | --- | --- |
| Prop | 30 | 37 | 30 | 37 |
| Supervised | | | | | | | SVM<br>NB | 89.35<br>85.75 | 93.17<br>89.22 | – | – |
| --- | --- | --- | --- | --- |
| Semi-supervised | | | | |
| LP-5<br>LP-10<br>UserReg-10 | 77.20<br>86.60<br>86.76 | 87.49<br>88.20<br>90.08 | –<br>–<br>– | –<br>–<br>– |
| Unsupervised | | | | |
| ESSA<br>Tri-clustering<br>Onlinetri-clustering | 81.69<br>81.87<br>91.88 | 85.87<br>92.15<br>92.24 | 38.71<br>40.24<br>67.73 | 15.88<br>18.93<br>29.85 | | 1 |
| Metric | Accuracy | NMI | | |
| --- | --- | --- | --- | --- |
| Prop | 30 | 37 | 30 | 37 |
| Supervised | | | | | | | Unsupervised | | | |
| --- | --- | --- | --- |
| Model | GNSDR | GSIR | GSAR |
| RPCA | 3.15 | 4.43 | 11.09 |
| RPCAh | 3.25 | 4.52 | 11.10 |
| RPCAh+FASST | 3.84 | 6.22 | 9.19 |
| Supervised | | | |
| Model | GNSDR | GSIR | GSAR |
| MLRR | 3.85 | 5.63 | 10.70 |
| RNMF | 4.97 | 7.66 | 10.03 |
| DRNN-2 | 7.27 | 11.98 | 9.99 |
| DRNN-2+discrim | 7.45 | 13.08 | 9.68 | | 0 |
| Metric | Accuracy | NMI | | |
| --- | --- | --- | --- | --- |
| Prop | 30 | 37 | 30 | 37 |
| Supervised | | | | |
| SVM<br>NB | 89.35<br>85.75 | 93.17<br>89.22 | – | – |
| Semi-supervised | | | | | | | LP-5<br>LP-10<br>UserReg-10 | 77.20<br>86.60<br>86.76 | 87.49<br>88.20<br>90.08 | –<br>–<br>– | –<br>–<br>– |
| --- | --- | --- | --- | --- |
| Unsupervised | | | | |
| ESSA<br>Tri-clustering<br>Onlinetri-clustering | 81.69<br>81.87<br>91.88 | 85.87<br>92.15<br>92.24 | 38.71<br>40.24<br>67.73 | 15.88<br>18.93<br>29.85 | | 1 |
| Metric | Accuracy | NMI | | |
| --- | --- | --- | --- | --- |
| Prop | 30 | 37 | 30 | 37 |
| Supervised | | | | |
| SVM<br>NB | 89.35<br>85.75 | 93.17<br>89.22 | – | – |
| Semi-supervised | | | | | | | RPCAh | 3.25 | 4.52 | 11.10 |
| --- | --- | --- | --- |
| RPCAh+FASST | 3.84 | 6.22 | 9.19 |
| Supervised | | | |
| Model | GNSDR | GSIR | GSAR |
| MLRR | 3.85 | 5.63 | 10.70 |
| RNMF | 4.97 | 7.66 | 10.03 |
| DRNN-2 | 7.27 | 11.98 | 9.99 |
| DRNN-2+discrim | 7.45 | 13.08 | 9.68 | | 0 |
| Algorithm | Precision | Recall | F-measure |
| --- | --- | --- | --- |
| Megvii-Image++ | 0.724 | 0.5696 | 0.6376 |
| Stradvision-2 | 0.7746 | 0.3674 | 0.4984 |
| Stradvision-1 | 0.5339 | 0.4627 | 0.4957 |
| NJU | 0.7044 | 0.3625 | 0.4787 |
| AJOU | 0.4726 | 0.4694 | 0.471 |
| HUST-MCLAB | 0.44 | 0.3779 | 0.4066 | | | Deep2Text-MO | 0.4959 | 0.3211 | 0.3898 |
| --- | --- | --- | --- |
| CNNMSER | 0.3471 | 0.3442 | 0.3457 |
| TextCatcher-2 | 0.2491 | 0.3481 | 0.2904 | | 1 |
| Algorithm | Precision | Recall | F-measure |
| --- | --- | --- | --- |
| Megvii-Image++ | 0.724 | 0.5696 | 0.6376 |
| Stradvision-2 | 0.7746 | 0.3674 | 0.4984 |
| Stradvision-1 | 0.5339 | 0.4627 | 0.4957 |
| NJU | 0.7044 | 0.3625 | 0.4787 |
| AJOU | 0.4726 | 0.4694 | 0.471 |
| HUST-MCLAB | 0.44 | 0.3779 | 0.4066 | | | 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 |
| CNNProposal | 0.35 | 0.34 | 0.35 |
| TextCatcher-2 | 0.25 | 0.34 | 0.29 | | 0 |
| Algorithm | Precision | Recall | F-measure |
| --- | --- | --- | --- |
| Megvii-Image++ | 0.724 | 0.5696 | 0.6376 |
| Stradvision-2 | 0.7746 | 0.3674 | 0.4984 |
| Stradvision-1 | 0.5339 | 0.4627 | 0.4957 |
| NJU | 0.7044 | 0.3625 | 0.4787 |
| AJOU | 0.4726 | 0.4694 | 0.471 |
| HUST-MCLAB | 0.44 | 0.3779 | 0.4066 |
| Deep2Text-MO | 0.4959 | 0.3211 | 0.3898 | | | CNNMSER | 0.3471 | 0.3442 | 0.3457 |
| --- | --- | --- | --- |
| TextCatcher-2 | 0.2491 | 0.3481 | 0.2904 | | 1 |
| Algorithm | Precision | Recall | F-measure |
| --- | --- | --- | --- |
| Megvii-Image++ | 0.724 | 0.5696 | 0.6376 |
| Stradvision-2 | 0.7746 | 0.3674 | 0.4984 |
| Stradvision-1 | 0.5339 | 0.4627 | 0.4957 |
| NJU | 0.7044 | 0.3625 | 0.4787 |
| AJOU | 0.4726 | 0.4694 | 0.471 |
| HUST-MCLAB | 0.44 | 0.3779 | 0.4066 |
| Deep2Text-MO | 0.4959 | 0.3211 | 0.3898 | | | Deep2Text-MO | 0.50 | 0.32 | 0.39 |
| --- | --- | --- | --- |
| CNNProposal | 0.35 | 0.34 | 0.35 |
| TextCatcher-2 | 0.25 | 0.34 | 0.29 | | 0 |
| Feature | Non-toptier | Toptier | | |
| --- | --- | --- | --- | --- |
| Mean | Std.Dev. | Mean | Std.Dev. | |
| CRDI | 0.25 | 0.259 | 0.173 | 0.178 |
| CKDI | 0.536 | 0.504 | 0.396 | 0.419 |
| CADI | 0.121 | 0.146 | 0.076 | 0.068 | | | PNA | 0.1 | 0.077 | 0.097 | 0.068 |
| --- | --- | --- | --- | --- |
| CAAI | 0.206 | 0.232 | 0.175 | 0.16 |
| DDI | 0.386 | 0.323 | 0.335 | 0.28 |
| EDI | 0.323 | 0.292 | 0.23 | 0.265 |
| ACC | 0.02 | 0.034 | 0.018 | 0.019 |
| ABC | 0.034 | 0.087 | 0.015 | 0.034 | | 1 |
| Feature | Non-toptier | Toptier | | |
| --- | --- | --- | --- | --- |
| Mean | Std.Dev. | Mean | Std.Dev. | |
| CRDI | 0.25 | 0.259 | 0.173 | 0.178 |
| CKDI | 0.536 | 0.504 | 0.396 | 0.419 |
| CADI | 0.121 | 0.146 | 0.076 | 0.068 | | | | CRDI(-) | CKDI(-) | CADI(+) | PNA(-) | CAAI(+) | DDI(+) | EDI(+) | ACC(+) | ABC(+) |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 8 | 0.65 | 0.53 | 0.61 | 0.57 | 0.74 | 0.55 | 0.40 | 0.68 | 0.70 |
| 9 | 0.55 | 0.46 | 0.57 | 0.57 | 0.68 | 0.53 | 0.27 | 0.63 | 0.68 |
| 10 | 0.40 | 0.46 | 0.53 | 0.46 | 0.57 | 0.42 | 0.17 | 0.53 | 0.61 |
| 11 | 0.38 | 0.46 | 0.44 | 0.38 | 0.48 | 0.31 | 0.10 | 0.38 | 0.51 |
| 12 | 0.27 | 0.34 | 0.27 | 0.27 | 0.29 | 0.23 | 0.04 | 0.31 | 0.42 | | 0 |
| Feature | Non-toptier | Toptier | | |
| --- | --- | --- | --- | --- |
| Mean | Std.Dev. | Mean | Std.Dev. | |
| CRDI | 0.25 | 0.259 | 0.173 | 0.178 |
| CKDI | 0.536 | 0.504 | 0.396 | 0.419 |
| CADI | 0.121 | 0.146 | 0.076 | 0.068 |
| PNA | 0.1 | 0.077 | 0.097 | 0.068 | | | CAAI | 0.206 | 0.232 | 0.175 | 0.16 |
| --- | --- | --- | --- | --- |
| DDI | 0.386 | 0.323 | 0.335 | 0.28 |
| EDI | 0.323 | 0.292 | 0.23 | 0.265 |
| ACC | 0.02 | 0.034 | 0.018 | 0.019 |
| ABC | 0.034 | 0.087 | 0.015 | 0.034 | | 1 |
| Feature | Non-toptier | Toptier | | |
| --- | --- | --- | --- | --- |
| Mean | Std.Dev. | Mean | Std.Dev. | |
| CRDI | 0.25 | 0.259 | 0.173 | 0.178 |
| CKDI | 0.536 | 0.504 | 0.396 | 0.419 |
| CADI | 0.121 | 0.146 | 0.076 | 0.068 |
| PNA | 0.1 | 0.077 | 0.097 | 0.068 | | | 9 | 0.55 | 0.46 | 0.57 | 0.57 | 0.68 | 0.53 | 0.27 | 0.63 | 0.68 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 10 | 0.40 | 0.46 | 0.53 | 0.46 | 0.57 | 0.42 | 0.17 | 0.53 | 0.61 |
| 11 | 0.38 | 0.46 | 0.44 | 0.38 | 0.48 | 0.31 | 0.10 | 0.38 | 0.51 |
| 12 | 0.27 | 0.34 | 0.27 | 0.27 | 0.29 | 0.23 | 0.04 | 0.31 | 0.42 | | 0 |
| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |
| --- | --- | --- | --- | --- |
| Passengers | 1800 | 1800 | 1800 | 1800 |
| Min | 48s | 62s | 33s | 62s |
| Max(=total) | 418s | 558s | 499s | 279s |
| Avg | 244s | 181s | 267s | 165s | | | Var | 10,061 | 10,376 | 17,460 | 4,107 |
| --- | --- | --- | --- | --- |
| SD | 100 | 102 | 132 | 65 |
| 75thperc. | 330s | 221s | 381s | 220s |
| 95thperc. | 398s | 440s | 471s | 265s | | 1 |
| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |
| --- | --- | --- | --- | --- |
| Passengers | 1800 | 1800 | 1800 | 1800 |
| Min | 48s | 62s | 33s | 62s |
| Max(=total) | 418s | 558s | 499s | 279s |
| Avg | 244s | 181s | 267s | 165s | | | Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |
| --- | --- | --- | --- | --- |
| Passengers | 850 | 1400 | 1400 | 400 |
| Min | 54s | 77s | 33s | 56s |
| Max(=total) | 232s(266s) | 375s(364s) | 400s(262s) | 119s(83s) |
| Avg | 149s | 204s | 214s | 83s |
| Var | 2,331 | 6,737 | 10,723 | 293 |
| SD | 48 | 82 | 104 | 17 |
| 75thperc. | 191s | 274s | 302s | 97s |
| 95thperc. | 222s | 332s | 378s | 110s | | 0 |
| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |
| --- | --- | --- | --- | --- |
| Passengers | 1800 | 1800 | 1800 | 1800 |
| Min | 48s | 62s | 33s | 62s |
| Max(=total) | 418s | 558s | 499s | 279s | | | Avg | 244s | 181s | 267s | 165s |
| --- | --- | --- | --- | --- |
| Var | 10,061 | 10,376 | 17,460 | 4,107 |
| SD | 100 | 102 | 132 | 65 |
| 75thperc. | 330s | 221s | 381s | 220s |
| 95thperc. | 398s | 440s | 471s | 265s | | 1 |
| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |
| --- | --- | --- | --- | --- |
| Passengers | 1800 | 1800 | 1800 | 1800 |
| Min | 48s | 62s | 33s | 62s |
| Max(=total) | 418s | 558s | 499s | 279s | | | Avg | 149s | 204s | 214s | 83s |
| --- | --- | --- | --- | --- |
| Var | 2,331 | 6,737 | 10,723 | 293 |
| SD | 48 | 82 | 104 | 17 |
| 75thperc. | 191s | 274s | 302s | 97s |
| 95thperc. | 222s | 332s | 378s | 110s | | 0 |
| HPE | Sleeve | Neckline | Pattern | Total |
| --- | --- | --- | --- | --- |
| Andrilukaetal.+K-Means | 27.5 | 31.7 | 27.6 | 28.9 | | | Sappetal.+K-Means | 34.9 | 30.5 | 23.8 | 29.7 |
| --- | --- | --- | --- | --- |
| YangandRamanan+K-Means | 43.2 | 28.6 | 35.8 | 35.9 |
| Groundtruth+K-Means | 31 | 29.8 | 26.1 | 28.9 |
| OurApproach | 57.2 | 60.3 | 74.7 | 64.1 | | 1 |
| HPE | Sleeve | Neckline | Pattern | Total |
| --- | --- | --- | --- | --- |
| Andrilukaetal.+K-Means | 27.5 | 31.7 | 27.6 | 28.9 | | | HPE | Sleeve | Neckline | Pattern | Total |
| --- | --- | --- | --- | --- |
| Andrilukaetal.+K-Means | 24.1 | 26.6 | 34.2 | 28.3 |
| Sappetal.+K-Means | 22.9 | 27.9 | 40.5 | 30.4 |
| YangandRamanan+K-Means | 38.3 | 25.7 | 22.6 | 28.9 |
| Groundtruth+K-Means | 34.7 | 36.1 | 39.5 | 36.8 |
| OurApproach | 55.6 | 68.8 | 80.8 | 68.4 | | 0 |
| HPE | Sleeve | Neckline | Pattern | Total |
| --- | --- | --- | --- | --- |
| Andrilukaetal.+K-Means | 27.5 | 31.7 | 27.6 | 28.9 |
| Sappetal.+K-Means | 34.9 | 30.5 | 23.8 | 29.7 | | | YangandRamanan+K-Means | 43.2 | 28.6 | 35.8 | 35.9 |
| --- | --- | --- | --- | --- |
| Groundtruth+K-Means | 31 | 29.8 | 26.1 | 28.9 |
| OurApproach | 57.2 | 60.3 | 74.7 | 64.1 | | 1 |
| HPE | Sleeve | Neckline | Pattern | Total |
| --- | --- | --- | --- | --- |
| Andrilukaetal.+K-Means | 27.5 | 31.7 | 27.6 | 28.9 |
| Sappetal.+K-Means | 34.9 | 30.5 | 23.8 | 29.7 | | | Sappetal.+K-Means | 22.9 | 27.9 | 40.5 | 30.4 |
| --- | --- | --- | --- | --- |
| YangandRamanan+K-Means | 38.3 | 25.7 | 22.6 | 28.9 |
| Groundtruth+K-Means | 34.7 | 36.1 | 39.5 | 36.8 |
| OurApproach | 55.6 | 68.8 | 80.8 | 68.4 | | 0 |
| Features | Class | Precision | Recall | F1 |
| --- | --- | --- | --- | --- |
| MELA | Ham<br>Spam<br>avg. | 0.66<br>0.98<br>0.82 | 0.99<br>0.48<br>0.73 | 0.79<br>0.64<br>0.72 | | | SGRAM | Ham<br>Spam<br>avg. | 0.65<br>0.99<br>0.82 | 1<br>0.47<br>0.73 | 0.79<br>0.63<br>0.71 |
| --- | --- | --- | --- | --- |
| SGRAM<br>NORM. | Ham<br>Spam<br>avg. | 0.65<br>0.99<br>0.82 | 1<br>0.47<br>0.73 | 0.79<br>0.64<br>0.71 |
| NGRAM | Ham<br>Spam<br>avg. | 0.63<br>0.99<br>0.81 | 1<br>0.42<br>0.71 | 0.77<br>0.59<br>0.69 |
| NGRAM<br>NORM. | Ham<br>Spam<br>avg. | 0.64<br>0.99<br>0.82 | 1<br>0.45<br>0.72 | 0.78<br>0.62<br>0.70 | | 1 |
| Features | Class | Precision | Recall | F1 |
| --- | --- | --- | --- | --- |
| MELA | Ham<br>Spam<br>avg. | 0.66<br>0.98<br>0.82 | 0.99<br>0.48<br>0.73 | 0.79<br>0.64<br>0.72 | | | #Predicted | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| #Matched<br>Precision<br>#Derived<br>Recall | 55<br>0.226<br>62<br>0.338 | 49<br>0.224<br>49<br>0.269 | 69<br>0.531<br>75<br>0.412 | 62<br>0.139<br>49<br>0.269 | 83<br>0.215<br>83<br>0.456 | 60<br>0.531<br>60<br>0.330 |
| #Matched<br>Precision<br>#Derived<br>Recall | 35<br>0.143<br>40<br>0.226 | 42<br>0.192<br>42<br>0.237 | 42<br>0.323<br>53<br>0.300 | 45<br>0.101<br>38<br>0.215 | 59<br>0.153<br>59<br>0.333 | 41<br>0.363<br>41<br>0.232 |
| #Matched<br>Precision<br>#Derived<br>Recall | 43<br>0.179<br>42<br>0.556 | 41<br>0.187<br>41<br>0.539 | 47<br>0.362<br>52<br>0.684 | 54<br>0.121<br>37<br>0.487 | 59<br>0.153<br>59<br>0.776 | 43<br>0.381<br>43<br>0.566 | | 0 |
| Features | Class | Precision | Recall | F1 |
| --- | --- | --- | --- | --- |
| MELA | Ham<br>Spam<br>avg. | 0.66<br>0.98<br>0.82 | 0.99<br>0.48<br>0.73 | 0.79<br>0.64<br>0.72 | | | SGRAM | Ham<br>Spam<br>avg. | 0.65<br>0.99<br>0.82 | 1<br>0.47<br>0.73 | 0.79<br>0.63<br>0.71 |
| --- | --- | --- | --- | --- |
| SGRAM<br>NORM. | Ham<br>Spam<br>avg. | 0.65<br>0.99<br>0.82 | 1<br>0.47<br>0.73 | 0.79<br>0.64<br>0.71 |
| NGRAM | Ham<br>Spam<br>avg. | 0.63<br>0.99<br>0.81 | 1<br>0.42<br>0.71 | 0.77<br>0.59<br>0.69 |
| NGRAM<br>NORM. | Ham<br>Spam<br>avg. | 0.64<br>0.99<br>0.82 | 1<br>0.45<br>0.72 | 0.78<br>0.62<br>0.70 | | 1 |
| Features | Class | Precision | Recall | F1 |
| --- | --- | --- | --- | --- |
| MELA | Ham<br>Spam<br>avg. | 0.66<br>0.98<br>0.82 | 0.99<br>0.48<br>0.73 | 0.79<br>0.64<br>0.72 | | | #Matched<br>Precision<br>#Derived<br>Recall | 35<br>0.143<br>40<br>0.226 | 42<br>0.192<br>42<br>0.237 | 42<br>0.323<br>53<br>0.300 | 45<br>0.101<br>38<br>0.215 | 59<br>0.153<br>59<br>0.333 | 41<br>0.363<br>41<br>0.232 |
| --- | --- | --- | --- | --- | --- | --- |
| #Matched<br>Precision<br>#Derived<br>Recall | 43<br>0.179<br>42<br>0.556 | 41<br>0.187<br>41<br>0.539 | 47<br>0.362<br>52<br>0.684 | 54<br>0.121<br>37<br>0.487 | 59<br>0.153<br>59<br>0.776 | 43<br>0.381<br>43<br>0.566 | | 0 |
| Pattern | Total |
| --- | --- |
| (supertype)(differentiaquality) | 27 |
| (supertype)(differentiaevent) | 13 |
| (differentiaquality)(supertype) | 6 |
| (supertype)(differentiaevent)(eventlocation) | 5 |
| (supertype)(differentiaquality)(purpose) | 3 |
| (accessorydeterminer)(supertype)(differentiaevent) | 3 |
| (accessorydeterminer)(supertype)(differentiaquality) | 2 |
| (supertype)OR(differentiaquality)+ | 2 |
| (supertype)(originlocation) | 2 |
| (differentiaquality)(supertype)(differentiaquality) | 2 |
| OR(supertype)+(differentiaevent) | 2 |
| (differentiaquality)+(supertype) | 2 | | | (differentiaquality)+(supertype)(differentiaevent) | 2 |
| --- | --- |
| Other | 29 |
| Total | 100 | | 1 |
| Pattern | Total |
| --- | --- |
| (supertype)(differentiaquality) | 27 |
| (supertype)(differentiaevent) | 13 |
| (differentiaquality)(supertype) | 6 |
| (supertype)(differentiaevent)(eventlocation) | 5 |
| (supertype)(differentiaquality)(purpose) | 3 |
| (accessorydeterminer)(supertype)(differentiaevent) | 3 |
| (accessorydeterminer)(supertype)(differentiaquality) | 2 |
| (supertype)OR(differentiaquality)+ | 2 |
| (supertype)(originlocation) | 2 |
| (differentiaquality)(supertype)(differentiaquality) | 2 |
| OR(supertype)+(differentiaevent) | 2 |
| (differentiaquality)+(supertype) | 2 | | | Machines | States | Events |
| --- | --- | --- |
| dk15 | 4 | 8 |
| bbara | 10 | 16 |
| mc | 4 | 8 |
| lion | 4 | 4 |
| bbtas | 6 | 4 |
| tav | 4 | 16 |
| modulo12 | 12 | 2 |
| beecount | 7 | 8 |
| shiftreg | 8 | 2 | | 0 |
| Pattern | Total |
| --- | --- |
| (supertype)(differentiaquality) | 27 |
| (supertype)(differentiaevent) | 13 |
| (differentiaquality)(supertype) | 6 |
| (supertype)(differentiaevent)(eventlocation) | 5 |
| (supertype)(differentiaquality)(purpose) | 3 |
| (accessorydeterminer)(supertype)(differentiaevent) | 3 |
| (accessorydeterminer)(supertype)(differentiaquality) | 2 |
| (supertype)OR(differentiaquality)+ | 2 |
| (supertype)(originlocation) | 2 |
| (differentiaquality)(supertype)(differentiaquality) | 2 | | | OR(supertype)+(differentiaevent) | 2 |
| --- | --- |
| (differentiaquality)+(supertype) | 2 |
| (differentiaquality)+(supertype)(differentiaevent) | 2 |
| Other | 29 |
| Total | 100 | | 1 |
| Pattern | Total |
| --- | --- |
| (supertype)(differentiaquality) | 27 |
| (supertype)(differentiaevent) | 13 |
| (differentiaquality)(supertype) | 6 |
| (supertype)(differentiaevent)(eventlocation) | 5 |
| (supertype)(differentiaquality)(purpose) | 3 |
| (accessorydeterminer)(supertype)(differentiaevent) | 3 |
| (accessorydeterminer)(supertype)(differentiaquality) | 2 |
| (supertype)OR(differentiaquality)+ | 2 |
| (supertype)(originlocation) | 2 |
| (differentiaquality)(supertype)(differentiaquality) | 2 | | | modulo12 | 12 | 2 |
| --- | --- | --- |
| beecount | 7 | 8 |
| shiftreg | 8 | 2 | | 0 |
| Thenumberofthebranchhaving<br>food(experimentsindifferentdays,<br>consequently) | Distancetothenearest<br>specialbranch | Timesoftransmissionof<br>informationaboutthebranch<br>numberfordifferentscouts<br>(sec) |
| --- | --- | --- |
| 26 | 6 | 35,30 |
| 30 | 10 | 70,65 |
| 27 | 7 | 65,72 |
| 24 | 4 | 58,60,62 |
| 8 | 2 | 22,20,25 |
| 16 | 4 | 25,8,25 |
| 16 | 4 | 25 | | | 22 | 2 | 15,18 |
| --- | --- | --- |
| 18 | 2 | 20,25,18,20 |
| 15 | 5 | 30,28,35,30 |
| 20 | 0 | 10,12,10 |
| 6 | 4 | 25,28 |
| 16 | 4 | 30,25 |
| 15 | 5 | 20,25,20 |
| 14 | 4 | 25,28,30,26 |
| 17 | 3 | 17,15 |
| 11 | 1 | 10,12 | | 1 |
| Thenumberofthebranchhaving<br>food(experimentsindifferentdays,<br>consequently) | Distancetothenearest<br>specialbranch | Timesoftransmissionof<br>informationaboutthebranch<br>numberfordifferentscouts<br>(sec) |
| --- | --- | --- |
| 26 | 6 | 35,30 |
| 30 | 10 | 70,65 |
| 27 | 7 | 65,72 |
| 24 | 4 | 58,60,62 |
| 8 | 2 | 22,20,25 |
| 16 | 4 | 25,8,25 |
| 16 | 4 | 25 | | | Distance(m) | Time(sec) |
| --- | --- |
| 0.0 | 0 |
| 4.9 | 1 |
| 19.6 | 2 |
| 44.1 | 3 |
| 78.5 | 4 |
| 122.6 | 5 |
| 176.5 | 6 |
| 240.3 | 7 |
| 313.8 | 8 |
| 397.2 | 9 |
| 490.3 | 10 |
| 593.3 | 11 |
| 706.1 | 12 |
| 828.7 | 13 |
| 961.1 | 14 |
| 1103.2 | 15 |
| 1255.3 | 16 |
| Etc | Etc | | 0 |
| Thenumberofthebranchhaving<br>food(experimentsindifferentdays,<br>consequently) | Distancetothenearest<br>specialbranch | Timesoftransmissionof<br>informationaboutthebranch<br>numberfordifferentscouts<br>(sec) |
| --- | --- | --- |
| 26 | 6 | 35,30 |
| 30 | 10 | 70,65 |
| 27 | 7 | 65,72 | | | 24 | 4 | 58,60,62 |
| --- | --- | --- |
| 8 | 2 | 22,20,25 |
| 16 | 4 | 25,8,25 |
| 16 | 4 | 25 |
| 22 | 2 | 15,18 |
| 18 | 2 | 20,25,18,20 |
| 15 | 5 | 30,28,35,30 |
| 20 | 0 | 10,12,10 |
| 6 | 4 | 25,28 |
| 16 | 4 | 30,25 |
| 15 | 5 | 20,25,20 |
| 14 | 4 | 25,28,30,26 |
| 17 | 3 | 17,15 |
| 11 | 1 | 10,12 | | 1 |
| Thenumberofthebranchhaving<br>food(experimentsindifferentdays,<br>consequently) | Distancetothenearest<br>specialbranch | Timesoftransmissionof<br>informationaboutthebranch<br>numberfordifferentscouts<br>(sec) |
| --- | --- | --- |
| 26 | 6 | 35,30 |
| 30 | 10 | 70,65 |
| 27 | 7 | 65,72 | | | 122.6 | 5 |
| --- | --- |
| 176.5 | 6 |
| 240.3 | 7 |
| 313.8 | 8 |
| 397.2 | 9 |
| 490.3 | 10 |
| 593.3 | 11 |
| 706.1 | 12 |
| 828.7 | 13 |
| 961.1 | 14 |
| 1103.2 | 15 |
| 1255.3 | 16 |
| Etc | Etc | | 0 |
| Property | Humanoid | Atlas | T-Rex | Dragon |
| --- | --- | --- | --- | --- |
| Links | 13 | 12 | 20 | 32 |
| TotalMass(kg) | 45 | 169.8 | 54.5 | 72.5 | | | Height(m) | 1.62 | 1.82 | 1.66 | 1.83 |
| --- | --- | --- | --- | --- |
| DegreesofFreedom | 34 | 31 | 55 | 79 |
| StateFeatures | 197 | 184 | 262 | 418 |
| ActionParameters | 36 | 32 | 64 | 94 | | 1 |
| Property | Humanoid | Atlas | T-Rex | Dragon |
| --- | --- | --- | --- | --- |
| Links | 13 | 12 | 20 | 32 |
| TotalMass(kg) | 45 | 169.8 | 54.5 | 72.5 | | | 3DModel | Size | Qhull | Ourimplementation | Speedup | | |
| --- | --- | --- | --- | --- | --- | --- |
| Mode1 | Mode2 | Mode1 | Mode2 | | | |
| Armadillo | 172K | 16 | 47.5 | 61.7 | 0.34 | 0.26 |
| Angel | 237K | 47 | 50.5 | 62.6 | 0.93 | 0.75 |
| SkeletonHand | 327K | 32 | 49.5 | 61.8 | 0.65 | 0.52 |
| Dragon | 437K | 62 | 55.9 | 67.4 | 1.11 | 0.92 |
| HappyBuddha | 543K | 63 | 56.8 | 76.7 | 1.11 | 0.82 |
| TurbineBlade | 882K | 125 | 64.3 | 72.3 | 1.94 | 1.73 |
| VellumManuscript | 2M | 219 | 63.2 | 91.5 | 3.47 | 2.39 |
| AsianDragon | 3M | 359 | 78.4 | 129.8 | 4.58 | 2.77 |
| ThaiStatue | 5M | 515 | 84.4 | 142.6 | 6.10 | 3.61 |
| Lucy | 14M | 1404 | 141.3 | 223.3 | 9.94 | 6.29 | | 0 |
| Property | Humanoid | Atlas | T-Rex | Dragon |
| --- | --- | --- | --- | --- |
| Links | 13 | 12 | 20 | 32 |
| TotalMass(kg) | 45 | 169.8 | 54.5 | 72.5 | | | Height(m) | 1.62 | 1.82 | 1.66 | 1.83 |
| --- | --- | --- | --- | --- |
| DegreesofFreedom | 34 | 31 | 55 | 79 |
| StateFeatures | 197 | 184 | 262 | 418 |
| ActionParameters | 36 | 32 | 64 | 94 | | 1 |
| Property | Humanoid | Atlas | T-Rex | Dragon |
| --- | --- | --- | --- | --- |
| Links | 13 | 12 | 20 | 32 |
| TotalMass(kg) | 45 | 169.8 | 54.5 | 72.5 | | | Armadillo | 172K | 16 | 47.5 | 61.7 | 0.34 | 0.26 |
| --- | --- | --- | --- | --- | --- | --- |
| Angel | 237K | 47 | 50.5 | 62.6 | 0.93 | 0.75 |
| SkeletonHand | 327K | 32 | 49.5 | 61.8 | 0.65 | 0.52 |
| Dragon | 437K | 62 | 55.9 | 67.4 | 1.11 | 0.92 |
| HappyBuddha | 543K | 63 | 56.8 | 76.7 | 1.11 | 0.82 |
| TurbineBlade | 882K | 125 | 64.3 | 72.3 | 1.94 | 1.73 |
| VellumManuscript | 2M | 219 | 63.2 | 91.5 | 3.47 | 2.39 |
| AsianDragon | 3M | 359 | 78.4 | 129.8 | 4.58 | 2.77 |
| ThaiStatue | 5M | 515 | 84.4 | 142.6 | 6.10 | 3.61 |
| Lucy | 14M | 1404 | 141.3 | 223.3 | 9.94 | 6.29 | | 0 |
| Criterion | MANCaLog | IC/LT | SNOP | CD | EGT/VM |
| --- | --- | --- | --- | --- | --- |
| 1.Labels | Yes | No | Yes | Yes | No |
| 2.ExplicitRepresentationofTime | Yes | No | Yes | No | Yes |
| 3.Non-MarkovianTemporalRelationships | Yes | No | No | No | No |
| 4.Uncertainty | Yes | Yes | Yes | Yes | Yes |
| 5.CompetingCascades | Yes | No | No | Yes | Yes | | | 6.Non-monotonicCascades | Yes | No | No | Yes | Yes |
| --- | --- | --- | --- | --- | --- |
| 7.Tractablity | PTIME | #P-hard | PTIME | PTIME | NP-hard | | 1 |
| Criterion | MANCaLog | IC/LT | SNOP | CD | EGT/VM |
| --- | --- | --- | --- | --- | --- |
| 1.Labels | Yes | No | Yes | Yes | No |
| 2.ExplicitRepresentationofTime | Yes | No | Yes | No | Yes |
| 3.Non-MarkovianTemporalRelationships | Yes | No | No | No | No |
| 4.Uncertainty | Yes | Yes | Yes | Yes | Yes |
| 5.CompetingCascades | Yes | No | No | Yes | Yes | | | | SubgamePerfect<br>Equilibrium | PerfectPrediction<br>Equilibrium |
| --- | --- | --- |
| FormoftheGame | Extensive | Extensive |
| PerfectInformation | Yes | Yes |
| Numberofplayers | Any | Any |
| NewcombChoice | Twoboxes | Onebox |
| PredictionModel<br>accountingfor<br>counterfactuals | Ad-HocPrediction<br>(“couldhave<br>beenwrong”) | PerfectPrediction<br>(“wouldalso<br>havebeenright”) |
| RelationshipwiththePast | Cournot-like | Stackelberg-like |
| Reasoning | BackwardInduction | ForwardInduction |
| Indifferencebetweenpayoffs | Allowed | Notallowedinprinciple |
| Existence | Always | Always |
| Uniqueness | Always | Always |
| Optimality | - | Pareto |
| Corresponding<br>NormalForm | Nash<br>(subsuming) | Superrationality(notestablished/<br>conceptuallysimilar) | | 0 |
| Criterion | MANCaLog | IC/LT | SNOP | CD | EGT/VM |
| --- | --- | --- | --- | --- | --- |
| 1.Labels | Yes | No | Yes | Yes | No |
| 2.ExplicitRepresentationofTime | Yes | No | Yes | No | Yes |
| 3.Non-MarkovianTemporalRelationships | Yes | No | No | No | No | | | 4.Uncertainty | Yes | Yes | Yes | Yes | Yes |
| --- | --- | --- | --- | --- | --- |
| 5.CompetingCascades | Yes | No | No | Yes | Yes |
| 6.Non-monotonicCascades | Yes | No | No | Yes | Yes |
| 7.Tractablity | PTIME | #P-hard | PTIME | PTIME | NP-hard | | 1 |
| Criterion | MANCaLog | IC/LT | SNOP | CD | EGT/VM |
| --- | --- | --- | --- | --- | --- |
| 1.Labels | Yes | No | Yes | Yes | No |
| 2.ExplicitRepresentationofTime | Yes | No | Yes | No | Yes |
| 3.Non-MarkovianTemporalRelationships | Yes | No | No | No | No | | | Uniqueness | Always | Always |
| --- | --- | --- |
| Optimality | - | Pareto |
| Corresponding<br>NormalForm | Nash<br>(subsuming) | Superrationality(notestablished/<br>conceptuallysimilar) | | 0 |
| | Valueofpinthep-norm | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Committee | 1 | 2 | 3 | 4 | 10 | 100 |
| {A,A}12 | 3700 | 130.38 | 44.68 | 26.59 | 10.79 | 6.36 |
| {A,B}11 | 3840 | 123.29 | 39.46 | 22.42 | 8.57 | 6.18 | | | {A,B}12 | 3020 | 101.39 | 33.76 | 19.82 | 8.38 | 6.18 |
| --- | --- | --- | --- | --- | --- | --- |
| {A,B}21 | 4980 | 161.12 | 51.97 | 29.73 | 11.21 | 6.39 |
| {A,B}22 | 4160 | 133.27 | 42.74 | 24.41 | 9.65 | 6.28 |
| {B,B}12 | 4300 | 147.65 | 49.38 | 28.84 | 11.18 | 6.38 | | 1 |
| | Valueofpinthep-norm | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Committee | 1 | 2 | 3 | 4 | 10 | 100 |
| {A,A}12 | 3700 | 130.38 | 44.68 | 26.59 | 10.79 | 6.36 |
| {A,B}11 | 3840 | 123.29 | 39.46 | 22.42 | 8.57 | 6.18 | | | | Valueofpinthep-norm | | | |
| --- | --- | --- | --- | --- |
| Committee | 1 | 0.5 | 0.1 | 0.001 |
| {A,A}12 | 1800 | 1107.11 | 765.63 | 700.62 |
| {A,B}11 | 1620 | 1095.81 | 808.45 | 750.56 |
| {A,B}12 | 1780 | 1225.51 | 914.08 | 850.62 |
| {A,B}21 | 2220 | 1445.51 | 1040.44 | 960.77 |
| {A,B}22 | 2380 | 1475.81 | 1026.70 | 940.83 |
| {B,B}12 | 2200 | 1307.11 | 880.50 | 800.76 | | 0 |
| | Valueofpinthep-norm | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Committee | 1 | 2 | 3 | 4 | 10 | 100 |
| {A,A}12 | 3700 | 130.38 | 44.68 | 26.59 | 10.79 | 6.36 |
| {A,B}11 | 3840 | 123.29 | 39.46 | 22.42 | 8.57 | 6.18 |
| {A,B}12 | 3020 | 101.39 | 33.76 | 19.82 | 8.38 | 6.18 |
| {A,B}21 | 4980 | 161.12 | 51.97 | 29.73 | 11.21 | 6.39 | | | {A,B}22 | 4160 | 133.27 | 42.74 | 24.41 | 9.65 | 6.28 |
| --- | --- | --- | --- | --- | --- | --- |
| {B,B}12 | 4300 | 147.65 | 49.38 | 28.84 | 11.18 | 6.38 | | 1 |
| | Valueofpinthep-norm | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Committee | 1 | 2 | 3 | 4 | 10 | 100 |
| {A,A}12 | 3700 | 130.38 | 44.68 | 26.59 | 10.79 | 6.36 |
| {A,B}11 | 3840 | 123.29 | 39.46 | 22.42 | 8.57 | 6.18 |
| {A,B}12 | 3020 | 101.39 | 33.76 | 19.82 | 8.38 | 6.18 |
| {A,B}21 | 4980 | 161.12 | 51.97 | 29.73 | 11.21 | 6.39 | | | {A,B}22 | 2380 | 1475.81 | 1026.70 | 940.83 |
| --- | --- | --- | --- | --- |
| {B,B}12 | 2200 | 1307.11 | 880.50 | 800.76 | | 0 |
| Round | Step | Free | Sending | Receiving | Active |
| --- | --- | --- | --- | --- | --- |
| 1 | 1 | 50,646 | 1 | 6 | 7 |
| 2 | 50,635 | 6 | 12 | 18 | |
| 3 | 50,623 | 12 | 18 | 30 | | | | 2 | 1 | 50,394 | 37 | 222 | 259 |
| --- | --- | --- | --- | --- | --- |
| 2 | 49,987 | 222 | 444 | 666 | |
| 3 | 49,543 | 444 | 666 | 1,110 | |
| 3 | 1 | 41,070 | 1,369 | 8,214 | 9,583 |
| 2 | 26,011 | 8,214 | 16,428 | 24,642 | |
| 3 | 9,583 | 16,428 | 24,642 | 41,070 | |
| Total | 12 | | 26,733 | 50,652 | | | 1 |
| Round | Step | Free | Sending | Receiving | Active |
| --- | --- | --- | --- | --- | --- |
| 1 | 1 | 50,646 | 1 | 6 | 7 |
| 2 | 50,635 | 6 | 12 | 18 | |
| 3 | 50,623 | 12 | 18 | 30 | | | | Step | Free | Sending | Receiving | Active |
| --- | --- | --- | --- | --- |
| 1 | 50,634 | 1 | 18 | 19 |
| 2 | 50,491 | 18 | 144 | 162 |
| 3 | 49,807 | 144 | 702 | 846 |
| 4 | 47,593 | 684 | 2,376 | 3,060 |
| 5 | 42,661 | 2,160 | 5,832 | 7,992 |
| 6 | 35,425 | 4,752 | 10,476 | 15,228 |
| 7 | 29,809 | 7,236 | 13,608 | 20,844 |
| 8 | 31,861 | 7,128 | 11,664 | 18,792 |
| 9 | 40,933 | 3,888 | 5,832 | 9,720 |
| Total | | 26,011 | 50,652 | | | 0 |
| Round | Step | Free | Sending | Receiving | Active |
| --- | --- | --- | --- | --- | --- |
| 1 | 1 | 50,646 | 1 | 6 | 7 |
| 2 | 50,635 | 6 | 12 | 18 | |
| 3 | 50,623 | 12 | 18 | 30 | |
| 2 | 1 | 50,394 | 37 | 222 | 259 |
| 2 | 49,987 | 222 | 444 | 666 | |
| 3 | 49,543 | 444 | 666 | 1,110 | | | | 3 | 1 | 41,070 | 1,369 | 8,214 | 9,583 |
| --- | --- | --- | --- | --- | --- |
| 2 | 26,011 | 8,214 | 16,428 | 24,642 | |
| 3 | 9,583 | 16,428 | 24,642 | 41,070 | |
| Total | 12 | | 26,733 | 50,652 | | | 1 |
| Round | Step | Free | Sending | Receiving | Active |
| --- | --- | --- | --- | --- | --- |
| 1 | 1 | 50,646 | 1 | 6 | 7 |
| 2 | 50,635 | 6 | 12 | 18 | |
| 3 | 50,623 | 12 | 18 | 30 | |
| 2 | 1 | 50,394 | 37 | 222 | 259 |
| 2 | 49,987 | 222 | 444 | 666 | |
| 3 | 49,543 | 444 | 666 | 1,110 | | | | 6 | 35,425 | 4,752 | 10,476 | 15,228 |
| --- | --- | --- | --- | --- |
| 7 | 29,809 | 7,236 | 13,608 | 20,844 |
| 8 | 31,861 | 7,128 | 11,664 | 18,792 |
| 9 | 40,933 | 3,888 | 5,832 | 9,720 |
| Total | | 26,011 | 50,652 | | | 0 |
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