premise
string | hypothesis
string | label
int64 |
|---|---|---|
| γ5 | (D,C) | (D,C) | (D,C) | (C,C),(D,C) | (C,C) |
| --- | --- | --- | --- | --- | --- |
| γ4 | (D,C) | (C,D),(D,C) | (C,D),(D,C) | (C,D),(D,C),(C,C) | (C,C),(C,D) |
|
| γ3 | (D,C) | (C,D),(D,C) | (C,D),(D,C) | (C,D),(D,C) | (C,D) |
| --- | --- | --- | --- | --- | --- |
| γ2 | (D,D),(D,C) | (D,D),(D,C),(C,D) | (C,D),(D,C) | (C,D),(D,C) | (C,D) |
| γ1 | (D,D) | (D,D),(C,D) | (C,D) | (C,D) | (C,D) |
| | λ1 | λ2 | λ3 | λ4 | λ5 |
| 1
|
| γ5 | (D,C) | (D,C) | (D,C) | (C,C),(D,C) | (C,C) |
| --- | --- | --- | --- | --- | --- |
| γ4 | (D,C) | (C,D),(D,C) | (C,D),(D,C) | (C,D),(D,C),(C,C) | (C,C),(C,D) |
|
| v | (d,d,d)xyz | v | (d,d,d)xyz | v | (d,d,d)xyz | v | (d,d,d)xyz |
| --- | --- | --- | --- | --- | --- | --- | --- |
| m | (66,66,66) | w1 | (67,67,67) | w2 | (67,67,67) | c1 | (67,68,68) |
| c2 | (68,68,67) | c3 | (68,67,68) | t1,1 | (66,69,69) | t1,2 | (65,70,70) |
| t1,3 | (64,71,71) | t1,4 | (63,72,72) | t1,5 | (62,73,73) | t1,6 | (61,74,74) |
| t1,7 | (60,75,75) | t1,8 | (59,76,76) | t1,9 | (58,77,77) | t1,10 | (57,78,78) |
| t1,11 | (56,79,79) | t1,12 | (55,80,80) | t1,13 | (54,81,81) | t1,14 | (53,82,82) |
| t1,15 | (52,82,82) | f1,1 | (65,67,67) | f1,2 | (64,68,68) | f1,3 | (63,69,69) |
| f1,4 | (62,70,70) | f1,5 | (61,71,71) | f1,6 | (60,72,72) | f1,7 | (59,73,73) |
| f1,8 | (58,74,74) | f1,9 | (57,75,75) | f1,10 | (56,76,76) | f1,11 | (55,77,77) |
| f1,12 | (54,78,78) | f1,13 | (53,79,79) | f1,14 | (52,80,80) | f1,15 | (51,81,81) |
| t2,1 | (69,66,69) | t2,2 | (70,65,70) | t2,3 | (71,64,71) | t2,4 | (72,63,72) |
| t2,5 | (73,62,73) | t2,6 | (74,61,74) | t2,7 | (75,60,75) | t2,8 | (76,59,76) |
| t2,9 | (77,58,77) | t2,10 | (78,57,78) | t2,11 | (79,56,79) | t2,12 | (80,55,80) |
| t2,13 | (81,54,81) | t2,14 | (82,53,82) | t2,15 | (82,52,82) | f2,1 | (67,65,67) |
| f2,2 | (68,64,68) | f2,3 | (69,63,69) | f2,4 | (70,62,70) | f2,5 | (71,61,71) |
| f2,6 | (72,60,72) | f2,7 | (73,59,73) | f2,8 | (74,58,74) | f2,9 | (75,57,75) |
| f2,10 | (76,56,76) | f2,11 | (77,55,77) | f2,12 | (78,54,78) | f2,13 | (79,53,79) |
| f2,14 | (80,52,80) | f2,15 | (81,51,81) | t3,1 | (69,69,66) | t3,2 | (70,70,65) |
| t3,3 | (71,71,64) | t3,4 | (72,72,63) | t3,5 | (73,73,62) | t3,6 | (74,74,61) |
| t3,7 | (75,75,60) | t3,8 | (76,76,59) | t3,9 | (77,77,58) | t3,10 | (78,78,57) |
| t3,11 | (79,79,56) | t3,12 | (80,80,55) | t3,13 | (81,81,54) | t3,14 | (82,82,53) |
| t3,15 | (82,82,52) | f3,1 | (67,67,65) | f3,2 | (68,68,64) | f3,3 | (69,69,63) |
| f3,4 | (70,70,62) | f3,5 | (71,71,61) | f3,6 | (72,72,60) | f3,7 | (73,73,59) |
| f3,8 | (74,74,58) | f3,9 | (75,75,57) | f3,10 | (76,76,56) | f3,11 | (77,77,55) |
| f3,12 | (78,78,54) | f3,13 | (79,79,53) | f3,14 | (80,80,52) | f3,15 | (81,81,51) |
| 0
|
| γ5 | (D,C) | (D,C) | (D,C) | (C,C),(D,C) | (C,C) |
| --- | --- | --- | --- | --- | --- |
| γ4 | (D,C) | (C,D),(D,C) | (C,D),(D,C) | (C,D),(D,C),(C,C) | (C,C),(C,D) |
| γ3 | (D,C) | (C,D),(D,C) | (C,D),(D,C) | (C,D),(D,C) | (C,D) |
| γ2 | (D,D),(D,C) | (D,D),(D,C),(C,D) | (C,D),(D,C) | (C,D),(D,C) | (C,D) |
|
| γ1 | (D,D) | (D,D),(C,D) | (C,D) | (C,D) | (C,D) |
| --- | --- | --- | --- | --- | --- |
| | λ1 | λ2 | λ3 | λ4 | λ5 |
| 1
|
| γ5 | (D,C) | (D,C) | (D,C) | (C,C),(D,C) | (C,C) |
| --- | --- | --- | --- | --- | --- |
| γ4 | (D,C) | (C,D),(D,C) | (C,D),(D,C) | (C,D),(D,C),(C,C) | (C,C),(C,D) |
| γ3 | (D,C) | (C,D),(D,C) | (C,D),(D,C) | (C,D),(D,C) | (C,D) |
| γ2 | (D,D),(D,C) | (D,D),(D,C),(C,D) | (C,D),(D,C) | (C,D),(D,C) | (C,D) |
|
| f1,12 | (54,78,78) | f1,13 | (53,79,79) | f1,14 | (52,80,80) | f1,15 | (51,81,81) |
| --- | --- | --- | --- | --- | --- | --- | --- |
| t2,1 | (69,66,69) | t2,2 | (70,65,70) | t2,3 | (71,64,71) | t2,4 | (72,63,72) |
| t2,5 | (73,62,73) | t2,6 | (74,61,74) | t2,7 | (75,60,75) | t2,8 | (76,59,76) |
| t2,9 | (77,58,77) | t2,10 | (78,57,78) | t2,11 | (79,56,79) | t2,12 | (80,55,80) |
| t2,13 | (81,54,81) | t2,14 | (82,53,82) | t2,15 | (82,52,82) | f2,1 | (67,65,67) |
| f2,2 | (68,64,68) | f2,3 | (69,63,69) | f2,4 | (70,62,70) | f2,5 | (71,61,71) |
| f2,6 | (72,60,72) | f2,7 | (73,59,73) | f2,8 | (74,58,74) | f2,9 | (75,57,75) |
| f2,10 | (76,56,76) | f2,11 | (77,55,77) | f2,12 | (78,54,78) | f2,13 | (79,53,79) |
| f2,14 | (80,52,80) | f2,15 | (81,51,81) | t3,1 | (69,69,66) | t3,2 | (70,70,65) |
| t3,3 | (71,71,64) | t3,4 | (72,72,63) | t3,5 | (73,73,62) | t3,6 | (74,74,61) |
| t3,7 | (75,75,60) | t3,8 | (76,76,59) | t3,9 | (77,77,58) | t3,10 | (78,78,57) |
| t3,11 | (79,79,56) | t3,12 | (80,80,55) | t3,13 | (81,81,54) | t3,14 | (82,82,53) |
| t3,15 | (82,82,52) | f3,1 | (67,67,65) | f3,2 | (68,68,64) | f3,3 | (69,69,63) |
| f3,4 | (70,70,62) | f3,5 | (71,71,61) | f3,6 | (72,72,60) | f3,7 | (73,73,59) |
| f3,8 | (74,74,58) | f3,9 | (75,75,57) | f3,10 | (76,76,56) | f3,11 | (77,77,55) |
| f3,12 | (78,78,54) | f3,13 | (79,79,53) | f3,14 | (80,80,52) | f3,15 | (81,81,51) |
| 0
|
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames |
|
| π | 1in5 | Commoninmath |
| --- | --- | --- |
| $ | 4in5 | Usedinbusiness |
| Ψ | 1in40,000 | Unexplainedusage |
| 1
|
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames |
|
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames |
| π | 1in5 | Commoninmath |
| $ | 4in5 | Usedinbusiness |
| Ψ | 1in40,000 | Unexplainedusage |
| 0
|
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames |
| π | 1in5 | Commoninmath |
|
| $ | 4in5 | Usedinbusiness |
| --- | --- | --- |
| Ψ | 1in40,000 | Unexplainedusage |
| 1
|
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames |
| π | 1in5 | Commoninmath |
|
| $ | 4in5 | Usedinbusiness |
| --- | --- | --- |
| Ψ | 1in40,000 | Unexplainedusage |
| 0
|
| Parameter | Values |
| --- | --- |
| NumberofnodesN | 233,482,1000,3583,8916 |
| Maximumnodedegreemaxk | 0.1N |
| Averagenodedegreeavgk | 20 |
| Degreedistributionτ1 | -2 |
| Maximumcommunitysizemaxc | 0.1N |
|
| Minimumcommunitysizeminc | Default |
| --- | --- |
| Communitysizedistributionτ2 | -2.5 |
| Mixingparameterµ | [0.05,0.075]withstepof0.05 |
| OverlappingNodesOn | 0 |
| OverlappingMembershipsOm | 0 |
| 1
|
| Parameter | Values |
| --- | --- |
| NumberofnodesN | 233,482,1000,3583,8916 |
| Maximumnodedegreemaxk | 0.1N |
| Averagenodedegreeavgk | 20 |
| Degreedistributionτ1 | -2 |
| Maximumcommunitysizemaxc | 0.1N |
|
| Parameter | Values |
| --- | --- |
| NumberofnodesN | 1000,5000 |
| Maximumnodedegreemaxk | 50 |
| Averagenodedegreeavgk | 10 |
| Degreedistributionτ1 | -2 |
| Maximumcommunitysizemaxc | 50,100 |
| Minimumcommunitysizeminc | 10,20 |
| Communitysizedistributionτ2 | -1 |
| Mixingparameterµ | [0.05,0.075]withstepof0.05 |
| OverlappingNodesOn | 500 |
| OverlappingMembershipsOm | [1,8]withstepof1 |
| 0
|
| Parameter | Values |
| --- | --- |
| NumberofnodesN | 233,482,1000,3583,8916 |
| Maximumnodedegreemaxk | 0.1N |
| Averagenodedegreeavgk | 20 |
| Degreedistributionτ1 | -2 |
|
| Maximumcommunitysizemaxc | 0.1N |
| --- | --- |
| Minimumcommunitysizeminc | Default |
| Communitysizedistributionτ2 | -2.5 |
| Mixingparameterµ | [0.05,0.075]withstepof0.05 |
| OverlappingNodesOn | 0 |
| OverlappingMembershipsOm | 0 |
| 1
|
| Parameter | Values |
| --- | --- |
| NumberofnodesN | 233,482,1000,3583,8916 |
| Maximumnodedegreemaxk | 0.1N |
| Averagenodedegreeavgk | 20 |
| Degreedistributionτ1 | -2 |
|
| Communitysizedistributionτ2 | -1 |
| --- | --- |
| Mixingparameterµ | [0.05,0.075]withstepof0.05 |
| OverlappingNodesOn | 500 |
| OverlappingMembershipsOm | [1,8]withstepof1 |
| 0
|
| |
| --- |
| MSE<br>#FPs<br>#FNs<br>Time |
|
| MSE<br>#FPs<br>#FNs<br>Time |
| --- |
| MSE<br>#FPs<br>#FNs<br>Time |
| MSE<br>#FPs<br>#FNs<br>Time |
| MSE<br>Time |
| 1
|
| |
| --- |
| MSE<br>#FPs<br>#FNs<br>Time |
|
| GridSize | SampleCoefficient | Accuracy | timeAVR(secs) | timeSD(secs) |
| --- | --- | --- | --- | --- |
| 7<br>7<br>7<br>7<br>7<br>7<br>7<br>7<br>7<br>7 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 8.08<br>16.14<br>24.24<br>32.32<br>40.35<br>48.42<br>56.44<br>64.55<br>72.82<br>80.81 | 0.57<br>1.11<br>1.70<br>2.24<br>2.79<br>3.35<br>3.96<br>4.25<br>5.75<br>5.28 |
| 8<br>8<br>8<br>8<br>8<br>8<br>8<br>8<br>8<br>8 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 11.05<br>22.18<br>33.35<br>44.45<br>55.93<br>67.20<br>78.49<br>89.29<br>100.11<br>110.73 | 0.74<br>1.47<br>2.42<br>3.01<br>4.47<br>5.68<br>6.44<br>6.95<br>6.56<br>5.72 |
| 9<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br>9 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 14.79<br>29.53<br>44.34<br>59.05<br>73.88<br>88.45<br>103.35<br>118.30<br>133.38<br>148.22 | 0.98<br>1.96<br>2.88<br>3.43<br>4.89<br>5.05<br>6.07<br>7.87<br>9.18<br>10.25 |
| 10<br>10<br>10<br>10<br>10<br>10<br>10<br>10<br>10<br>10 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 0.99<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 19.40<br>38.81<br>58.13<br>77.29<br>96.43<br>115.80<br>135.03<br>154.55<br>173.59<br>193.07 | 1.53<br>3.02<br>4.21<br>5.23<br>5.55<br>6.77<br>7.83<br>10.13<br>9.64<br>11.72 |
| 0
|
| |
| --- |
| MSE<br>#FPs<br>#FNs<br>Time |
|
| MSE<br>#FPs<br>#FNs<br>Time |
| --- |
| MSE<br>#FPs<br>#FNs<br>Time |
| MSE<br>#FPs<br>#FNs<br>Time |
| MSE<br>Time |
| 1
|
| |
| --- |
| MSE<br>#FPs<br>#FNs<br>Time |
|
| 8<br>8<br>8<br>8<br>8<br>8<br>8<br>8<br>8<br>8 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 11.05<br>22.18<br>33.35<br>44.45<br>55.93<br>67.20<br>78.49<br>89.29<br>100.11<br>110.73 | 0.74<br>1.47<br>2.42<br>3.01<br>4.47<br>5.68<br>6.44<br>6.95<br>6.56<br>5.72 |
| --- | --- | --- | --- | --- |
| 9<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br>9 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 14.79<br>29.53<br>44.34<br>59.05<br>73.88<br>88.45<br>103.35<br>118.30<br>133.38<br>148.22 | 0.98<br>1.96<br>2.88<br>3.43<br>4.89<br>5.05<br>6.07<br>7.87<br>9.18<br>10.25 |
| 10<br>10<br>10<br>10<br>10<br>10<br>10<br>10<br>10<br>10 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 0.99<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 19.40<br>38.81<br>58.13<br>77.29<br>96.43<br>115.80<br>135.03<br>154.55<br>173.59<br>193.07 | 1.53<br>3.02<br>4.21<br>5.23<br>5.55<br>6.77<br>7.83<br>10.13<br>9.64<br>11.72 |
| 0
|
| name | FIRE(resultsfrom) | Presentedwithout<br>4improvementsfromSection?? | Presented | ATPG | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| #red | | t,sec | | | | | | | | | |
| C17 | - | - | - | 0 | - | 0.01 | 0 | - | 0.00 | 0 | 0.00 |
| C432 | - | - | - | 45 | 60.8 | 0.01 | 63 | 85.1 | 0.00 | 74 | 4.43 |
| C499 | - | - | - | 0 | 0 | 0.01 | 0 | 0 | 0.01 | 8 | 0.27 |
| C880 | - | - | - | 0 | 0 | 0.01 | 0 | 0 | 0.01 | 8 | 0.08 |
| C1355 | - | - | - | 0 | - | 0.02 | 0 | - | 0.01 | 0 | 0.82 |
|
| C1908 | 6 | 15.4 | 1.8 | 24 | 61.5 | 0.02 | 26 | 66.7 | 0.02 | 39 | 0.51 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| C2670 | 29 | 16.3 | 1.5 | 56 | 31.5 | 0.03 | 64 | 36.0 | 0.03 | 178 | 0.53 |
| C3540 | 93 | 38 | 11.9 | 144 | 58.8 | 0.08 | 167 | 67.9 | 0.09 | 246 | 2.17 |
| C5315 | 20 | 14 | 2.8 | 36 | 25.2 | 0.05 | 62 | 43.4 | 0.05 | 143 | 1.45 |
| C6288 | 33 | 82.5 | 1.3 | 69 | 98.6 | 0.06 | 113 | 161.4 | 0.06 | 70 | 2.00 |
| C7552 | 30 | 7.39 | 4.7 | 99 | 24.3 | 0.10 | 124 | 30.5 | 0.11 | 406 | 5.25 |
| average | 35.2 | 28.9 | 4.00 | 43 | 40.1 | 0.036 | 56.3 | 54.6 | 0.037 | 105.5 | 1.59 |
| 1
|
| name | FIRE(resultsfrom) | Presentedwithout<br>4improvementsfromSection?? | Presented | ATPG | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| #red | | t,sec | | | | | | | | | |
| C17 | - | - | - | 0 | - | 0.01 | 0 | - | 0.00 | 0 | 0.00 |
| C432 | - | - | - | 45 | 60.8 | 0.01 | 63 | 85.1 | 0.00 | 74 | 4.43 |
| C499 | - | - | - | 0 | 0 | 0.01 | 0 | 0 | 0.01 | 8 | 0.27 |
| C880 | - | - | - | 0 | 0 | 0.01 | 0 | 0 | 0.01 | 8 | 0.08 |
| C1355 | - | - | - | 0 | - | 0.02 | 0 | - | 0.01 | 0 | 0.82 |
|
| 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 | 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 | 0.015 |
| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |
| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 |
| 0
|
| name | FIRE(resultsfrom) | Presentedwithout<br>4improvementsfromSection?? | Presented | ATPG | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| #red | | t,sec | | | | | | | | | |
| C17 | - | - | - | 0 | - | 0.01 | 0 | - | 0.00 | 0 | 0.00 |
| C432 | - | - | - | 45 | 60.8 | 0.01 | 63 | 85.1 | 0.00 | 74 | 4.43 |
| C499 | - | - | - | 0 | 0 | 0.01 | 0 | 0 | 0.01 | 8 | 0.27 |
| C880 | - | - | - | 0 | 0 | 0.01 | 0 | 0 | 0.01 | 8 | 0.08 |
| C1355 | - | - | - | 0 | - | 0.02 | 0 | - | 0.01 | 0 | 0.82 |
| C1908 | 6 | 15.4 | 1.8 | 24 | 61.5 | 0.02 | 26 | 66.7 | 0.02 | 39 | 0.51 |
|
| C2670 | 29 | 16.3 | 1.5 | 56 | 31.5 | 0.03 | 64 | 36.0 | 0.03 | 178 | 0.53 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| C3540 | 93 | 38 | 11.9 | 144 | 58.8 | 0.08 | 167 | 67.9 | 0.09 | 246 | 2.17 |
| C5315 | 20 | 14 | 2.8 | 36 | 25.2 | 0.05 | 62 | 43.4 | 0.05 | 143 | 1.45 |
| C6288 | 33 | 82.5 | 1.3 | 69 | 98.6 | 0.06 | 113 | 161.4 | 0.06 | 70 | 2.00 |
| C7552 | 30 | 7.39 | 4.7 | 99 | 24.3 | 0.10 | 124 | 30.5 | 0.11 | 406 | 5.25 |
| average | 35.2 | 28.9 | 4.00 | 43 | 40.1 | 0.036 | 56.3 | 54.6 | 0.037 | 105.5 | 1.59 |
| 1
|
| name | FIRE(resultsfrom) | Presentedwithout<br>4improvementsfromSection?? | Presented | ATPG | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| #red | | t,sec | | | | | | | | | |
| C17 | - | - | - | 0 | - | 0.01 | 0 | - | 0.00 | 0 | 0.00 |
| C432 | - | - | - | 45 | 60.8 | 0.01 | 63 | 85.1 | 0.00 | 74 | 4.43 |
| C499 | - | - | - | 0 | 0 | 0.01 | 0 | 0 | 0.01 | 8 | 0.27 |
| C880 | - | - | - | 0 | 0 | 0.01 | 0 | 0 | 0.01 | 8 | 0.08 |
| C1355 | - | - | - | 0 | - | 0.02 | 0 | - | 0.01 | 0 | 0.82 |
| C1908 | 6 | 15.4 | 1.8 | 24 | 61.5 | 0.02 | 26 | 66.7 | 0.02 | 39 | 0.51 |
|
| ex191 | 492 | 1608 | 15 | 184 | 132 | 0.171 |
| --- | --- | --- | --- | --- | --- | --- |
| ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 |
| ex195 | 216 | 382 | 10 | 114 | 84 | 0.015 |
| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |
| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 |
| 0
|
| x1 | x2 | x3 | x4 | f(x):Case1 | Case2 | Case3 |
| --- | --- | --- | --- | --- | --- | --- |
| 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| 0 | 0 | 0 | 1 | 1 | 1 | 1 |
|
| 0 | 0 | 1 | 0 | 1 | 1 | * |
| --- | --- | --- | --- | --- | --- | --- |
| 0 | 0 | 1 | 1 | 1 | 1 | * |
| 0 | 1 | 0 | 0 | 1 | 1 | 1 |
| 0 | 1 | 0 | 1 | 1 | 1 | 1 |
| 0 | 1 | 1 | 0 | 1 | 1 | 1 |
| 0 | 1 | 1 | 1 | 1 | 0 | 1 |
| 1 | 0 | 0 | 0 | 1 | 1 | 1 |
| 1 | 0 | 0 | 1 | 1 | 1 | 1 |
| 1 | 0 | 1 | 0 | 1 | 1 | 1 |
| 1 | 0 | 1 | 1 | 1 | 0 | 1 |
| 1 | 1 | 0 | 0 | 1 | 1 | * |
| 1 | 1 | 0 | 1 | 1 | 0 | * |
| 1 | 1 | 1 | 0 | 1 | 0 | * |
| 1 | 1 | 1 | 1 | * | * | * |
| 1
|
| x1 | x2 | x3 | x4 | f(x):Case1 | Case2 | Case3 |
| --- | --- | --- | --- | --- | --- | --- |
| 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| 0 | 0 | 0 | 1 | 1 | 1 | 1 |
|
| 74618 | 0 | 3 | 15 | 167 | 108 | 11 | 196 | 2 | 1 | 60 | 1 | 15 | 38 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0 | 8059 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 32 | 0 | 7245 | 0 | 1 | 3 | 29 | 8 | 0 | 6 | 6 | 0 | 0 | 0 |
| 7 | 0 | 0 | 120 | 1 | 0 | 1 | 2 | 0 | 0 | 5 | 0 | 0 | 0 |
| 131 | 1 | 0 | 11 | 6848 | 83 | 0 | 20 | 0 | 0 | 0 | 0 | 0 | 1 |
| 26 | 0 | 0 | 2 | 56 | 606 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | 0 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 44 | 4 | 3 | 2 | 25 | 0 | 0 | 2317 | 0 | 0 | 0 | 0 | 1 | 0 |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 0 | 0 | 2 | 0 | 10 | 0 | 0 | 0 | 0 | 93 | 0 | 0 | 0 | 0 |
| 145 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 158 | 0 | 0 | 0 |
| 9 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7010 | 0 | 127 |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 9 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 816 |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 0 | 8 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 |
| 0
|
| x1 | x2 | x3 | x4 | f(x):Case1 | Case2 | Case3 |
| --- | --- | --- | --- | --- | --- | --- |
| 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| 0 | 0 | 0 | 1 | 1 | 1 | 1 |
| 0 | 0 | 1 | 0 | 1 | 1 | * |
| 0 | 0 | 1 | 1 | 1 | 1 | * |
|
| 0 | 1 | 0 | 0 | 1 | 1 | 1 |
| --- | --- | --- | --- | --- | --- | --- |
| 0 | 1 | 0 | 1 | 1 | 1 | 1 |
| 0 | 1 | 1 | 0 | 1 | 1 | 1 |
| 0 | 1 | 1 | 1 | 1 | 0 | 1 |
| 1 | 0 | 0 | 0 | 1 | 1 | 1 |
| 1 | 0 | 0 | 1 | 1 | 1 | 1 |
| 1 | 0 | 1 | 0 | 1 | 1 | 1 |
| 1 | 0 | 1 | 1 | 1 | 0 | 1 |
| 1 | 1 | 0 | 0 | 1 | 1 | * |
| 1 | 1 | 0 | 1 | 1 | 0 | * |
| 1 | 1 | 1 | 0 | 1 | 0 | * |
| 1 | 1 | 1 | 1 | * | * | * |
| 1
|
| x1 | x2 | x3 | x4 | f(x):Case1 | Case2 | Case3 |
| --- | --- | --- | --- | --- | --- | --- |
| 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| 0 | 0 | 0 | 1 | 1 | 1 | 1 |
| 0 | 0 | 1 | 0 | 1 | 1 | * |
| 0 | 0 | 1 | 1 | 1 | 1 | * |
|
| 9 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7010 | 0 | 127 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 9 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 816 |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 0 | 8 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 |
| 0
|
| V | H | E | Data | Train,Val,Test |
| --- | --- | --- | --- | --- |
| 10 | 128 | 180 | 9k,1k,10k | 0.9635,0.9172,0.9150 |
| 100 | 128 | 200 | 9k,1k,10k | 0.7392,0.5472,0.5488 |
| 100 | 128 | 61 | 135k,15k,10k | 0.9927,0.9911,0.9912 |
|
| 100 | 256 | 40 | 135k,15k,10k | 0.9974,0.9997,0.9975 |
| --- | --- | --- | --- | --- |
| 1000 | 256 | 75 | 135k,15k,10k | 0.9868,0.9884,0.9885 |
| 1
|
| V | H | E | Data | Train,Val,Test |
| --- | --- | --- | --- | --- |
| 10 | 128 | 180 | 9k,1k,10k | 0.9635,0.9172,0.9150 |
| 100 | 128 | 200 | 9k,1k,10k | 0.7392,0.5472,0.5488 |
| 100 | 128 | 61 | 135k,15k,10k | 0.9927,0.9911,0.9912 |
|
| V | H | E | Data | Train,Val,Test |
| --- | --- | --- | --- | --- |
| 10 | 128 | 21 | 9k,1k,10k | 0.9150,0.8662,0.8660 |
| 100 | 128 | 130 | 9k,1k,10k | 0.7570,0.6670,0.6599 |
| 100 | 128 | 122 | 135k,15k,10k | 0.9909,0.9985,0.9982 |
| 100 | 256 | 21 | 135k,15k,10k | 0.9897,0.9987,0.9988 |
| 1000 | 256 | 107 | 135k,15k,10k | 0.9570,0.9405,0.9404 |
| 0
|
| V | H | E | Data | Train,Val,Test |
| --- | --- | --- | --- | --- |
| 10 | 128 | 180 | 9k,1k,10k | 0.9635,0.9172,0.9150 |
| 100 | 128 | 200 | 9k,1k,10k | 0.7392,0.5472,0.5488 |
|
| 100 | 128 | 61 | 135k,15k,10k | 0.9927,0.9911,0.9912 |
| --- | --- | --- | --- | --- |
| 100 | 256 | 40 | 135k,15k,10k | 0.9974,0.9997,0.9975 |
| 1000 | 256 | 75 | 135k,15k,10k | 0.9868,0.9884,0.9885 |
| 1
|
| V | H | E | Data | Train,Val,Test |
| --- | --- | --- | --- | --- |
| 10 | 128 | 180 | 9k,1k,10k | 0.9635,0.9172,0.9150 |
| 100 | 128 | 200 | 9k,1k,10k | 0.7392,0.5472,0.5488 |
|
| 100 | 128 | 130 | 9k,1k,10k | 0.7570,0.6670,0.6599 |
| --- | --- | --- | --- | --- |
| 100 | 128 | 122 | 135k,15k,10k | 0.9909,0.9985,0.9982 |
| 100 | 256 | 21 | 135k,15k,10k | 0.9897,0.9987,0.9988 |
| 1000 | 256 | 107 | 135k,15k,10k | 0.9570,0.9405,0.9404 |
| 0
|
| Model | Sensitivity | Specificity | Accuracy |
| --- | --- | --- | --- |
| SVM(best) | 0.8259 | 0.8324 | 0.8291 |
| LR(best) | 0.7121 | 0.6879 | 0.6991 |
|
| RF(best) | 0.6901 | 0.6850 | 0.6861 |
| --- | --- | --- | --- |
| RNNs(best) | 0.9886 | 0.9836 | 0.9763 |
| 1
|
| Model | Sensitivity | Specificity | Accuracy |
| --- | --- | --- | --- |
| SVM(best) | 0.8259 | 0.8324 | 0.8291 |
| LR(best) | 0.7121 | 0.6879 | 0.6991 |
|
| Model | Sensitivity | Specificity | PPV | Accuracy |
| --- | --- | --- | --- | --- |
| K−means | 0.6555 | 0.7185 | 0.4473 | 0.6997 |
| LOF | 0.0909 | 0.9519 | 0.5820 | 0.6959 |
| OC-SVM | 1.0 | 0.9015 | 0.8227 | 0.9308 |
| WeightedOC-SVM | 1.0 | 0.9481 | 0.8975 | 0.9635 |
| 0
|
| Model | Sensitivity | Specificity | Accuracy |
| --- | --- | --- | --- |
| SVM(best) | 0.8259 | 0.8324 | 0.8291 |
| LR(best) | 0.7121 | 0.6879 | 0.6991 |
|
| RF(best) | 0.6901 | 0.6850 | 0.6861 |
| --- | --- | --- | --- |
| RNNs(best) | 0.9886 | 0.9836 | 0.9763 |
| 1
|
| Model | Sensitivity | Specificity | Accuracy |
| --- | --- | --- | --- |
| SVM(best) | 0.8259 | 0.8324 | 0.8291 |
| LR(best) | 0.7121 | 0.6879 | 0.6991 |
|
| OC-SVM | 1.0 | 0.9015 | 0.8227 | 0.9308 |
| --- | --- | --- | --- | --- |
| WeightedOC-SVM | 1.0 | 0.9481 | 0.8975 | 0.9635 |
| 0
|
| 79.22(79.02,79.57) | 45.46(44.88,45.96) | 83.24(82.93,83.67) | 91.97(91.64,92.17) | 85.86(85.54,86.13) | 80.24(79.64,80.62) |
| --- | --- | --- | --- | --- | --- |
| 80.27(79.94,80.51) | 46.18(45.74,46.52) | 84.37(83.96,94.70) | 92.83(92.58,93.06) | 90.33(90.05,90.62) | 80.71(79.72,81.37) |
| 80.35(80.05,80.65) | 46.18(45.69,46.63) | 84.38(84.04,84.61) | 92.54(92.44,92.68) | 90.06(89.84,90.26) | 81.11(80.54,81.55) |
|
| 80.25(79.89,80.60) | 45.96(45.44,46.55) | 84.24(83.40,84.59) | 92.50(92.33,92.68) | 89.44(89.07,89.84) | 81.53(81.09,82.05) |
| --- | --- | --- | --- | --- | --- |
| 80.02(79.68,80.17) | 45.65(45.08,46.09) | 83.90(83.40,84.37) | 92.31(92.19,92.50) | 88.81(88.53,89.03) | 81.19(80.89,81.61) |
| 79.59(79.36,79.75) | 45.19(44.67,45.62) | 83.64(83.32,83.95) | 92.02(91.86,92.23) | 88.41(87.96,88.71) | 81.36(80.72,82.04) |
| 79.33(78.76,79.75) | 45.02(44.15,45.77) | 83.30(83.03,83.60) | 91.87(91.70,91.99) | 88.46(88.21,88.85) | 81.42(81.03,81.90) |
| 79.05(78.91,79.21) | 44.61(44.05,45.53) | 83.24(82.82,83.70) | 91.95(91.59,92.16) | 88.23(87.57,88.56) | 81.16(80.69,81.57) |
| 79.04(78.86,79.30) | 44.66(44.42,44.91) | 83.09(82.61,83.42) | 91.85(91.74,92.00) | 88.41(87.98,88.67) | 81.28(80.96,81.55) |
| 1
|
| 79.22(79.02,79.57) | 45.46(44.88,45.96) | 83.24(82.93,83.67) | 91.97(91.64,92.17) | 85.86(85.54,86.13) | 80.24(79.64,80.62) |
| --- | --- | --- | --- | --- | --- |
| 80.27(79.94,80.51) | 46.18(45.74,46.52) | 84.37(83.96,94.70) | 92.83(92.58,93.06) | 90.33(90.05,90.62) | 80.71(79.72,81.37) |
| 80.35(80.05,80.65) | 46.18(45.69,46.63) | 84.38(84.04,84.61) | 92.54(92.44,92.68) | 90.06(89.84,90.26) | 81.11(80.54,81.55) |
|
| 79.75(79.47,80.03) | 80.20(80.02,80.35) | 80.68(80.14,81.21) | 80.99(80.65,81.30) |
| --- | --- | --- | --- |
| 44.98(44.06,45.68) | 46.10(45.37,46.84) | 46.75(46.35,47.36) | 47.02(46.59,47.59) |
| 83.69(83.46,84.07) | 84.63(84.44,84.88) | 85.18(84.64,85.59) | 85.38(85.31,85.49) |
| 92.60(92.28,92.76) | 92.87(92.69,93.17) | 93.06(92.81,93.19) | 93.13(92.79,93.32) |
| 90.29(89.93,90.61) | 91.42(91.16,91.71) | 91.52(91.23,91.72) | 91.47(91.15,91.64) |
| 81.72(81.21,82.20) | 82.71(82.06,83.30) | 83.44(83.06,83.90) | 83.70(83.31,84.25) |
| 89.15(88.83,89.47) | 89.39(89.14,89.56) | 89.30(89.16,89.60) | 89.37(88.99,89.61) |
| 0
|
| 79.22(79.02,79.57) | 45.46(44.88,45.96) | 83.24(82.93,83.67) | 91.97(91.64,92.17) | 85.86(85.54,86.13) | 80.24(79.64,80.62) |
| --- | --- | --- | --- | --- | --- |
| 80.27(79.94,80.51) | 46.18(45.74,46.52) | 84.37(83.96,94.70) | 92.83(92.58,93.06) | 90.33(90.05,90.62) | 80.71(79.72,81.37) |
| 80.35(80.05,80.65) | 46.18(45.69,46.63) | 84.38(84.04,84.61) | 92.54(92.44,92.68) | 90.06(89.84,90.26) | 81.11(80.54,81.55) |
| 80.25(79.89,80.60) | 45.96(45.44,46.55) | 84.24(83.40,84.59) | 92.50(92.33,92.68) | 89.44(89.07,89.84) | 81.53(81.09,82.05) |
|
| 80.02(79.68,80.17) | 45.65(45.08,46.09) | 83.90(83.40,84.37) | 92.31(92.19,92.50) | 88.81(88.53,89.03) | 81.19(80.89,81.61) |
| --- | --- | --- | --- | --- | --- |
| 79.59(79.36,79.75) | 45.19(44.67,45.62) | 83.64(83.32,83.95) | 92.02(91.86,92.23) | 88.41(87.96,88.71) | 81.36(80.72,82.04) |
| 79.33(78.76,79.75) | 45.02(44.15,45.77) | 83.30(83.03,83.60) | 91.87(91.70,91.99) | 88.46(88.21,88.85) | 81.42(81.03,81.90) |
| 79.05(78.91,79.21) | 44.61(44.05,45.53) | 83.24(82.82,83.70) | 91.95(91.59,92.16) | 88.23(87.57,88.56) | 81.16(80.69,81.57) |
| 79.04(78.86,79.30) | 44.66(44.42,44.91) | 83.09(82.61,83.42) | 91.85(91.74,92.00) | 88.41(87.98,88.67) | 81.28(80.96,81.55) |
| 1
|
| 79.22(79.02,79.57) | 45.46(44.88,45.96) | 83.24(82.93,83.67) | 91.97(91.64,92.17) | 85.86(85.54,86.13) | 80.24(79.64,80.62) |
| --- | --- | --- | --- | --- | --- |
| 80.27(79.94,80.51) | 46.18(45.74,46.52) | 84.37(83.96,94.70) | 92.83(92.58,93.06) | 90.33(90.05,90.62) | 80.71(79.72,81.37) |
| 80.35(80.05,80.65) | 46.18(45.69,46.63) | 84.38(84.04,84.61) | 92.54(92.44,92.68) | 90.06(89.84,90.26) | 81.11(80.54,81.55) |
| 80.25(79.89,80.60) | 45.96(45.44,46.55) | 84.24(83.40,84.59) | 92.50(92.33,92.68) | 89.44(89.07,89.84) | 81.53(81.09,82.05) |
|
| 92.60(92.28,92.76) | 92.87(92.69,93.17) | 93.06(92.81,93.19) | 93.13(92.79,93.32) |
| --- | --- | --- | --- |
| 90.29(89.93,90.61) | 91.42(91.16,91.71) | 91.52(91.23,91.72) | 91.47(91.15,91.64) |
| 81.72(81.21,82.20) | 82.71(82.06,83.30) | 83.44(83.06,83.90) | 83.70(83.31,84.25) |
| 89.15(88.83,89.47) | 89.39(89.14,89.56) | 89.30(89.16,89.60) | 89.37(88.99,89.61) |
| 0
|
| Variable | Description |
| --- | --- |
| V | setofnodesinagraph |
| E | setofedgesinagraph |
| B(e) | edgecapacityforedgee |
| C(v) | nodecapacityfornodev |
|
| D | thesetofflowdemands |
| --- | --- |
| δ(v) | theedgesleavingvertexv |
| δ(v) | theedgesenteringvertexv |
| P | thesetofwalksfromsourcestodestinations |
| p<br>i,π | walk-based;theamountofflowifromstotii<br>exactlyusingwalkπandprocessedatv |
| f(e)i | edge-based;theamountofflowithat<br>traverseseonitswayfromstotii |
| w(e)i | edge-based;theamountofunprocessedflowi<br>thattraverseseonitswayfromstotii |
| p(v)i | edge-based;theamountofprocessingdoneat<br>nodevfortheithflow |
| 1
|
| Variable | Description |
| --- | --- |
| V | setofnodesinagraph |
| E | setofedgesinagraph |
| B(e) | edgecapacityforedgee |
| C(v) | nodecapacityfornodev |
|
| Symbol | Definition |
| --- | --- |
| )G=(V,E0G0 | \|truegraphwithn=\|V\|andm=\|EG0 |
| G=(V,E,p) | uncertaingraphconstructedfromG0 |
| G=(V,E)G | samplegraphfromG,G(cid:118)G |
| d(G),d(G)uu | degreeofnodeuinG,G |
| ∆(d) | numberofnodeshavingdegreedinG |
| N(u) | neighborsofnodeuinG |
| Rσ | truncatednormaldistributionon[0,1] |
| r←Reσ | asamplefromthedistributionRσ |
| p(p)iuv | probabilityofedgee(e)iuv |
| np | numberofpotentialedges,\|E\|=m+np |
| A,A | adjacencymatricesofG,G0 |
| PRW | randomwalktransitionmatrixofG0 |
| B | uncertainadjacencymatrix,B=AP |
| t | walklength |
| S | switchingmatrix |
| TV | totaldegreevariance |
| 0
|
| Variable | Description |
| --- | --- |
| V | setofnodesinagraph |
| E | setofedgesinagraph |
| B(e) | edgecapacityforedgee |
| C(v) | nodecapacityfornodev |
| D | thesetofflowdemands |
| δ(v) | theedgesleavingvertexv |
| δ(v) | theedgesenteringvertexv |
| P | thesetofwalksfromsourcestodestinations |
| p<br>i,π | walk-based;theamountofflowifromstotii<br>exactlyusingwalkπandprocessedatv |
|
| f(e)i | edge-based;theamountofflowithat<br>traverseseonitswayfromstotii |
| --- | --- |
| w(e)i | edge-based;theamountofunprocessedflowi<br>thattraverseseonitswayfromstotii |
| p(v)i | edge-based;theamountofprocessingdoneat<br>nodevfortheithflow |
| 1
|
| Variable | Description |
| --- | --- |
| V | setofnodesinagraph |
| E | setofedgesinagraph |
| B(e) | edgecapacityforedgee |
| C(v) | nodecapacityfornodev |
| D | thesetofflowdemands |
| δ(v) | theedgesleavingvertexv |
| δ(v) | theedgesenteringvertexv |
| P | thesetofwalksfromsourcestodestinations |
| p<br>i,π | walk-based;theamountofflowifromstotii<br>exactlyusingwalkπandprocessedatv |
|
| np | numberofpotentialedges,\|E\|=m+np |
| --- | --- |
| A,A | adjacencymatricesofG,G0 |
| PRW | randomwalktransitionmatrixofG0 |
| B | uncertainadjacencymatrix,B=AP |
| t | walklength |
| S | switchingmatrix |
| TV | totaldegreevariance |
| 0
|
| ID | Age | GPA | Gender | Height | Weight | Income |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | 20 | 3.6 | male | 60in. | 170lb | $100,000 |
| 2 | 19 | 4.0 | female | 75in. | 160lb | $20,000 |
|
| 3 | 21 | 3.7 | female | 71in. | 250lb | $94,000 |
| --- | --- | --- | --- | --- | --- | --- |
| 4 | 26 | 3.4 | female | 62in. | 150lb | $112,000 |
| 1
|
| ID | Age | GPA | Gender | Height | Weight | Income |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | 20 | 3.6 | male | 60in. | 170lb | $100,000 |
| 2 | 19 | 4.0 | female | 75in. | 160lb | $20,000 |
|
| Rule1 | Rule2 | Rule3 | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| IG | CC | IG | CC | IG | CC | |
| Age | 0 | 0.04 | 0 | 0 | 0 | -0.10 |
| Gender | 0.06 | 0.14 | 0.06 | 0.13 | 0 | -0.06 |
| Job | 0.08 | -0.18 | 0.08 | -0.17 | 0.04 | 0.11 |
| Studies | 0 | 0.18 | 0 | 0.16 | 0 | 0.017 |
| Freq.ofuse | 0.03 | 0.05 | 0.06 | 0.08 | 0.02 | -0.07 |
| #Accounts | 0 | 0.14 | 0 | 0.16 | 0 | -0.05 |
| Priv.Concern | 0 | 0.13 | 0 | 0.16 | 0 | 0.04 |
| 0
|
| ID | Age | GPA | Gender | Height | Weight | Income |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | 20 | 3.6 | male | 60in. | 170lb | $100,000 |
| 2 | 19 | 4.0 | female | 75in. | 160lb | $20,000 |
|
| 3 | 21 | 3.7 | female | 71in. | 250lb | $94,000 |
| --- | --- | --- | --- | --- | --- | --- |
| 4 | 26 | 3.4 | female | 62in. | 150lb | $112,000 |
| 1
|
| ID | Age | GPA | Gender | Height | Weight | Income |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | 20 | 3.6 | male | 60in. | 170lb | $100,000 |
| 2 | 19 | 4.0 | female | 75in. | 160lb | $20,000 |
|
| Freq.ofuse | 0.03 | 0.05 | 0.06 | 0.08 | 0.02 | -0.07 |
| --- | --- | --- | --- | --- | --- | --- |
| #Accounts | 0 | 0.14 | 0 | 0.16 | 0 | -0.05 |
| Priv.Concern | 0 | 0.13 | 0 | 0.16 | 0 | 0.04 |
| 0
|
| DC | MDF | DeepMC | DMT | DISC | RFCN | DRFI | RBD | DSR | MC | DS |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0.0906 | 0.1081 | 0.1019 | 0.1601 | 0.1122 | 0.0973 | 0.1719 | 0.1739 | 0.1742 | 0.2037 | 0.0628 |
| 0.0971 | 0.0916 | 0.0885 | 0.0758 | 0.1182 | 0.0945 | 0.1496 | 0.1467 | 0.1374 | 0.1863 | 0.0663 |
| 0.0886 | 0.1198 | 0.0881 | - | 0.0772 | 0.1020 | 0.1454 | 0.1407 | 0.1614 | 0.1620 | 0.0552 |
| 0.1014 | 0.1171 | 0.1162 | 0.1074 | 0.1203 | 0.1140 | 0.1373 | 0.1316 | 0.1457 | 0.1848 | 0.0876 |
|
| 0.1246 | 0.1420 | 0.1422 | 0.1695 | - | 0.1176 | 0.2071 | 0.1985 | 0.2041 | 0.2296 | 0.0902 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0.1208 | 0.1669 | 0.1557 | 0.1503 | - | 0.1394 | 0.2046 | 0.2069 | 0.2133 | 0.2435 | 0.1104 |
| 0.0730 | - | 0.0913 | - | 0.1023 | 0.0798 | 0.1445 | 0.1432 | 0.1404 | 0.1840 | 0.0515 |
| 0.0959 | 0.1029 | 0.1025 | 0.0854 | - | 0.1003 | 0.1471 | 0.1507 | 0.1408 | 0.1838 | 0.0752 |
| 1
|
| DC | MDF | DeepMC | DMT | DISC | RFCN | DRFI | RBD | DSR | MC | DS |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0.0906 | 0.1081 | 0.1019 | 0.1601 | 0.1122 | 0.0973 | 0.1719 | 0.1739 | 0.1742 | 0.2037 | 0.0628 |
| 0.0971 | 0.0916 | 0.0885 | 0.0758 | 0.1182 | 0.0945 | 0.1496 | 0.1467 | 0.1374 | 0.1863 | 0.0663 |
| 0.0886 | 0.1198 | 0.0881 | - | 0.0772 | 0.1020 | 0.1454 | 0.1407 | 0.1614 | 0.1620 | 0.0552 |
| 0.1014 | 0.1171 | 0.1162 | 0.1074 | 0.1203 | 0.1140 | 0.1373 | 0.1316 | 0.1457 | 0.1848 | 0.0876 |
|
| | ASD | PASCAL-S | ECSSD | DUT-OMRON | THUR15K |
| --- | --- | --- | --- | --- | --- |
| Ours | 0.924 | 0.771 | 0.867 | 0.719 | 0.731 |
| MCDL | 0.928 | 0.737 | 0.837 | 0.703 | 0.686 |
| MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 |
| LEGS | 0.905 | 0.749 | 0.831 | 0.669 | 0.664 |
| DRFI | 0.919 | 0.692 | 0.787 | 0.665 | 0.670 |
| DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 |
| GMR | 0.909 | 0.664 | 0.740 | 0.610 | 0.597 |
| HDCT | 0.884 | 0.604 | 0.705 | 0.609 | 0.602 |
| HS | 0.902 | 0.637 | 0.731 | 0.616 | 0.585 |
| 0
|
| DC | MDF | DeepMC | DMT | DISC | RFCN | DRFI | RBD | DSR | MC | DS |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0.0906 | 0.1081 | 0.1019 | 0.1601 | 0.1122 | 0.0973 | 0.1719 | 0.1739 | 0.1742 | 0.2037 | 0.0628 |
| 0.0971 | 0.0916 | 0.0885 | 0.0758 | 0.1182 | 0.0945 | 0.1496 | 0.1467 | 0.1374 | 0.1863 | 0.0663 |
| 0.0886 | 0.1198 | 0.0881 | - | 0.0772 | 0.1020 | 0.1454 | 0.1407 | 0.1614 | 0.1620 | 0.0552 |
|
| 0.1014 | 0.1171 | 0.1162 | 0.1074 | 0.1203 | 0.1140 | 0.1373 | 0.1316 | 0.1457 | 0.1848 | 0.0876 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0.1246 | 0.1420 | 0.1422 | 0.1695 | - | 0.1176 | 0.2071 | 0.1985 | 0.2041 | 0.2296 | 0.0902 |
| 0.1208 | 0.1669 | 0.1557 | 0.1503 | - | 0.1394 | 0.2046 | 0.2069 | 0.2133 | 0.2435 | 0.1104 |
| 0.0730 | - | 0.0913 | - | 0.1023 | 0.0798 | 0.1445 | 0.1432 | 0.1404 | 0.1840 | 0.0515 |
| 0.0959 | 0.1029 | 0.1025 | 0.0854 | - | 0.1003 | 0.1471 | 0.1507 | 0.1408 | 0.1838 | 0.0752 |
| 1
|
| DC | MDF | DeepMC | DMT | DISC | RFCN | DRFI | RBD | DSR | MC | DS |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0.0906 | 0.1081 | 0.1019 | 0.1601 | 0.1122 | 0.0973 | 0.1719 | 0.1739 | 0.1742 | 0.2037 | 0.0628 |
| 0.0971 | 0.0916 | 0.0885 | 0.0758 | 0.1182 | 0.0945 | 0.1496 | 0.1467 | 0.1374 | 0.1863 | 0.0663 |
| 0.0886 | 0.1198 | 0.0881 | - | 0.0772 | 0.1020 | 0.1454 | 0.1407 | 0.1614 | 0.1620 | 0.0552 |
|
| MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 |
| --- | --- | --- | --- | --- | --- |
| LEGS | 0.905 | 0.749 | 0.831 | 0.669 | 0.664 |
| DRFI | 0.919 | 0.692 | 0.787 | 0.665 | 0.670 |
| DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 |
| GMR | 0.909 | 0.664 | 0.740 | 0.610 | 0.597 |
| HDCT | 0.884 | 0.604 | 0.705 | 0.609 | 0.602 |
| HS | 0.902 | 0.637 | 0.731 | 0.616 | 0.585 |
| 0
|
| Semantic:word2vec | AwA | CUB | | |
| --- | --- | --- | --- | --- |
| V | G | V | G | |
| Akata’15<br>Xian’16<br>Akata’16<br>Changpinyo’16<br>SCoRe’17<br>DMaP-I’17 | -<br>-<br>-<br>-<br>-<br>- | 51.20<br>61.10<br>-<br>57.50<br>60.88<br>- | -<br>-<br>33.90<br>-<br>-<br>- | 28.40<br>31.80<br>-<br>-<br>31.51<br>26.28 |
|
| Ours | 66.26 | 66.89 | 34.40 | 32.42 |
| --- | --- | --- | --- | --- |
| Semantic:GloVe | AwA | CUB | | |
| V | G | V | G | |
| Akata’15<br>Xian’16<br>DMaP-I’17 | -<br>-<br>- | 58.80<br>62.90<br>- | -<br>-<br>- | 24.20<br>32.50<br>23.69 |
| Ours | 62.01 | 64.73 | 32.08 | 29.66 |
| 1
|
| Semantic:word2vec | AwA | CUB | | |
| --- | --- | --- | --- | --- |
| V | G | V | G | |
| Akata’15<br>Xian’16<br>Akata’16<br>Changpinyo’16<br>SCoRe’17<br>DMaP-I’17 | -<br>-<br>-<br>-<br>-<br>- | 51.20<br>61.10<br>-<br>57.50<br>60.88<br>- | -<br>-<br>33.90<br>-<br>-<br>- | 28.40<br>31.80<br>-<br>-<br>31.51<br>26.28 |
|
| SEMANTIC | SYNTACTIC | | |
| --- | --- | --- | --- |
| “general”-similarity | | | |
| secretary<br>elections<br>motors<br>undersecretary | 0.619<br>0.563<br>0.535<br>0.534 | gneral<br>genral<br>generally<br>generation | 0.986<br>0.978<br>0.954<br>0.944 |
| “sees”-“see”+“bank”=˜ | | | |
| firestone<br>yard<br>peres<br>c.c | 0.580<br>0.545<br>0.506<br>0.500 | banks<br>bank<br>balks<br>bans | 0.970<br>0.939<br>0.914<br>0.895 |
| 0
|
| Semantic:word2vec | AwA | CUB | | |
| --- | --- | --- | --- | --- |
| V | G | V | G | |
| Akata’15<br>Xian’16<br>Akata’16<br>Changpinyo’16<br>SCoRe’17<br>DMaP-I’17 | -<br>-<br>-<br>-<br>-<br>- | 51.20<br>61.10<br>-<br>57.50<br>60.88<br>- | -<br>-<br>33.90<br>-<br>-<br>- | 28.40<br>31.80<br>-<br>-<br>31.51<br>26.28 |
| Ours | 66.26 | 66.89 | 34.40 | 32.42 |
| Semantic:GloVe | AwA | CUB | | |
| V | G | V | G | |
|
| Akata’15<br>Xian’16<br>DMaP-I’17 | -<br>-<br>- | 58.80<br>62.90<br>- | -<br>-<br>- | 24.20<br>32.50<br>23.69 |
| --- | --- | --- | --- | --- |
| Ours | 62.01 | 64.73 | 32.08 | 29.66 |
| 1
|
| Semantic:word2vec | AwA | CUB | | |
| --- | --- | --- | --- | --- |
| V | G | V | G | |
| Akata’15<br>Xian’16<br>Akata’16<br>Changpinyo’16<br>SCoRe’17<br>DMaP-I’17 | -<br>-<br>-<br>-<br>-<br>- | 51.20<br>61.10<br>-<br>57.50<br>60.88<br>- | -<br>-<br>33.90<br>-<br>-<br>- | 28.40<br>31.80<br>-<br>-<br>31.51<br>26.28 |
| Ours | 66.26 | 66.89 | 34.40 | 32.42 |
| Semantic:GloVe | AwA | CUB | | |
| V | G | V | G | |
|
| “sees”-“see”+“bank”=˜ | | | |
| --- | --- | --- | --- |
| firestone<br>yard<br>peres<br>c.c | 0.580<br>0.545<br>0.506<br>0.500 | banks<br>bank<br>balks<br>bans | 0.970<br>0.939<br>0.914<br>0.895 |
| 0
|
| Layer | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Type | Conv | MaxPool | Conv | Conv | MaxPool | Conv | Conv | Conv |
|
| Inputsize | 56x56 | 52x52 | 26x26 | 22x22 | 18x18 | 9x9 | 5x5 | 1x1 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Kernelsize | 5x5 | 2x2 | 5x5 | 5x5 | 2x2 | 5x5 | 5x5 | 1x1 |
| Out.channels | 64 | 64 | 80 | 160 | 160 | 256 | 512 | 256 |
| Stride | 1 | 2 | 1 | 1 | 2 | 1 | 1 | 1 |
| Nonlinearity | Tanh | - | Tanh | Tanh | - | Tanh | Tanh | Tanh |
| 1
|
| Layer | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Type | Conv | MaxPool | Conv | Conv | MaxPool | Conv | Conv | Conv |
|
| Layer | Filter/Stride | #Channel | #Filter |
| --- | --- | --- | --- |
| Conv11 | 3×3/1 | 1 | 32 |
| Conv12 | 3×3/1 | 32 | 64 |
| MaxPool | 2×2/2 | 64 | – |
| Conv21 | 3×3/1 | 64 | 64 |
| Conv22 | 3×3/1 | 64 | 128 |
| MaxPool | 2×2/2 | 128 | – |
| Conv31 | 3×3/1 | 128 | 96 |
| Conv32 | 3×3/1 | 96 | 192 |
| MaxPool | 2×2/2 | 192 | – |
| Conv41 | 3×3/1 | 192 | 128 |
| Conv42 | 3×3/1 | 128 | 256 |
| MaxPool | 2×2/2 | 256 | – |
| Conv51 | 3×3/1 | 256 | 160 |
| Conv52 | 3×3/1 | 160 | 320 |
| AvgPool | 6×6/1 | 320 | – |
| Dropout1-0.3 | – | – | – |
| FC | 1×320/1 | 320 | 100 |
| 0
|
| Layer | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Type | Conv | MaxPool | Conv | Conv | MaxPool | Conv | Conv | Conv |
|
| Inputsize | 56x56 | 52x52 | 26x26 | 22x22 | 18x18 | 9x9 | 5x5 | 1x1 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Kernelsize | 5x5 | 2x2 | 5x5 | 5x5 | 2x2 | 5x5 | 5x5 | 1x1 |
| Out.channels | 64 | 64 | 80 | 160 | 160 | 256 | 512 | 256 |
| Stride | 1 | 2 | 1 | 1 | 2 | 1 | 1 | 1 |
| Nonlinearity | Tanh | - | Tanh | Tanh | - | Tanh | Tanh | Tanh |
| 1
|
| Layer | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Type | Conv | MaxPool | Conv | Conv | MaxPool | Conv | Conv | Conv |
|
| AvgPool | 6×6/1 | 320 | – |
| --- | --- | --- | --- |
| Dropout1-0.3 | – | – | – |
| FC | 1×320/1 | 320 | 100 |
| 0
|
| Method | testBLEUscore(ntst14) |
| --- | --- |
| BaselineSystem | 33.30 |
|
| Choetal. | 34.54 |
| --- | --- |
| BestWMT’14result | 37.0 |
| Rescoringthebaseline1000-bestwithasingleforwardLSTM | 35.61 |
| Rescoringthebaseline1000-bestwithasinglereversedLSTM | 35.85 |
| Rescoringthebaseline1000-bestwithanensembleof5reversedLSTMs | 36.5 |
| OracleRescoringoftheBaseline1000-bestlists | ∼45 |
| 1
|
| Method | testBLEUscore(ntst14) |
| --- | --- |
| BaselineSystem | 33.30 |
|
| ASRsystem | |
| --- | --- |
| Inputunits | 23 |
| Hiddenunits | 512 |
| Outputunits | 27293 |
| LSTMlayerdepth | 2 |
| MTsystem | |
| Sourcevocabulary | 27293 |
| Targetvocabulary | 33155 |
| Embedsize | 128 |
| Inputunits | 128 |
| Hiddenunits | 512 |
| Outputunits | 33155 |
| LSTMlayerdepth | 2 |
| Optimization | |
| Initiallearningrate | 0.001000 |
| Learningdescendrate | 1.800000 |
| Optimizingmethod | Adam |
| 0
|
| Method | testBLEUscore(ntst14) |
| --- | --- |
| BaselineSystem | 33.30 |
| Choetal. | 34.54 |
|
| BestWMT’14result | 37.0 |
| --- | --- |
| Rescoringthebaseline1000-bestwithasingleforwardLSTM | 35.61 |
| Rescoringthebaseline1000-bestwithasinglereversedLSTM | 35.85 |
| Rescoringthebaseline1000-bestwithanensembleof5reversedLSTMs | 36.5 |
| OracleRescoringoftheBaseline1000-bestlists | ∼45 |
| 1
|
| Method | testBLEUscore(ntst14) |
| --- | --- |
| BaselineSystem | 33.30 |
| Choetal. | 34.54 |
|
| LSTMlayerdepth | 2 |
| --- | --- |
| Optimization | |
| Initiallearningrate | 0.001000 |
| Learningdescendrate | 1.800000 |
| Optimizingmethod | Adam |
| 0
|
| Name | Employment | PropertyHoldings |
| --- | --- | --- |
| Alice | CEO,DeutscheBank | 3560 |
|
| Bob | Manager,Verizon | 1200 |
| --- | --- | --- |
| Christine | Assistant,NYU | 720 |
| Robert | CEO,Microsoft | 5430 |
| 1
|
| Name | Employment | PropertyHoldings |
| --- | --- | --- |
| Alice | CEO,DeutscheBank | 3560 |
|
| Entity | Ni | Vi | Mi | StructureType |
| --- | --- | --- | --- | --- |
| Account | 11446187 | 11446187 | 1 | Vestigial |
| CPUHours | 11446187 | 11446187 | 2752964 | Identity |
| DefaultDepartment | 11446187 | 11446187 | 1 | Vestigial |
| JobName | 11446187 | 11446187 | 90491 | Organization |
| JobNumber | 11446187 | 11446187 | 485212 | Identity |
| MemoryUsage | 11446187 | 11446187 | 5241559 | Identity |
| Priority | 11446187 | 11446187 | 1 | Vestigial |
| TaskNumber | 11446187 | 11446187 | 7491889 | Identity |
| UserName | 11446187 | 11446187 | 8388 | Organization |
| 0
|
| Name | Employment | PropertyHoldings |
| --- | --- | --- |
| Alice | CEO,DeutscheBank | 3560 |
| Bob | Manager,Verizon | 1200 |
|
| Christine | Assistant,NYU | 720 |
| --- | --- | --- |
| Robert | CEO,Microsoft | 5430 |
| 1
|
| Name | Employment | PropertyHoldings |
| --- | --- | --- |
| Alice | CEO,DeutscheBank | 3560 |
| Bob | Manager,Verizon | 1200 |
|
| MemoryUsage | 11446187 | 11446187 | 5241559 | Identity |
| --- | --- | --- | --- | --- |
| Priority | 11446187 | 11446187 | 1 | Vestigial |
| TaskNumber | 11446187 | 11446187 | 7491889 | Identity |
| UserName | 11446187 | 11446187 | 8388 | Organization |
| 0
|
| | 321×481pixelimages | | | | |
| --- | --- | --- | --- | --- | --- |
| | 1core(s) | 4cores(s) | 1core(fps) | 4cores(fps) | totaltime(m:s) |
|
| SIFT | 0.039 | 0.017 | 25 | 59 | - |
| --- | --- | --- | --- | --- | --- |
| SIFT+TreeSC+pyramid | 0.143 | 0.045 | 7 | 22.5 | - |
| full(1024) | 0.145 | 0.0465 | 6.9 | 21 | 4:01 |
| full(2048) | 0.1473 | 0.050 | 6.8 | 20 | 4:45 |
| full(4096) | 0.1495 | 0.052 | 6.7 | 19 | 4:42 |
| full(8092) | 0.155 | 0.0565 | 6.4 | 18 | 5:35 |
| 1
|
| | 321×481pixelimages | | | | |
| --- | --- | --- | --- | --- | --- |
| | 1core(s) | 4cores(s) | 1core(fps) | 4cores(fps) | totaltime(m:s) |
|
| Depth | Images | Time | Memory |
| --- | --- | --- | --- |
| 50 | 60K | 5h | 8x4.5G |
| 101 | 60K | 9h | 8x6.5G |
| 101 | 600K | 75h | 8x7.5G |
| 101 | 4M | ¿500h | 8x8G |
| 0
|
| | 321×481pixelimages | | | | |
| --- | --- | --- | --- | --- | --- |
| | 1core(s) | 4cores(s) | 1core(fps) | 4cores(fps) | totaltime(m:s) |
| SIFT | 0.039 | 0.017 | 25 | 59 | - |
| SIFT+TreeSC+pyramid | 0.143 | 0.045 | 7 | 22.5 | - |
| full(1024) | 0.145 | 0.0465 | 6.9 | 21 | 4:01 |
|
| full(2048) | 0.1473 | 0.050 | 6.8 | 20 | 4:45 |
| --- | --- | --- | --- | --- | --- |
| full(4096) | 0.1495 | 0.052 | 6.7 | 19 | 4:42 |
| full(8092) | 0.155 | 0.0565 | 6.4 | 18 | 5:35 |
| 1
|
| | 321×481pixelimages | | | | |
| --- | --- | --- | --- | --- | --- |
| | 1core(s) | 4cores(s) | 1core(fps) | 4cores(fps) | totaltime(m:s) |
| SIFT | 0.039 | 0.017 | 25 | 59 | - |
| SIFT+TreeSC+pyramid | 0.143 | 0.045 | 7 | 22.5 | - |
| full(1024) | 0.145 | 0.0465 | 6.9 | 21 | 4:01 |
|
| 101 | 600K | 75h | 8x7.5G |
| --- | --- | --- | --- |
| 101 | 4M | ¿500h | 8x8G |
| 0
|
| Case | CRNN | NNPG | SVR | LVX | ARX |
| --- | --- | --- | --- | --- | --- |
| 1 | 20.76 | 22.15 | 27.35 | 25.71 | 25.82 |
| 2 | 19.49 | 21.27 | 23.68 | 23.77 | 23.79 |
| 3 | 21.89 | 23.98 | 27.56 | 25.80 | 26.12 |
| 4 | 21.79 | 23.15 | 27.96 | 24.77 | 24.73 |
| 5 | 22.26 | 24.72 | 29.57 | 25.99 | 25.99 |
|
| Mean | 21.24 | 23.05 | 27.23 | 25.21 | 25.36 |
| --- | --- | --- | --- | --- | --- |
| SD | 1.01 | 1.24 | 1.93 | 0.83 | 0.96 |
| 1
|
| Case | CRNN | NNPG | SVR | LVX | ARX |
| --- | --- | --- | --- | --- | --- |
| 1 | 20.76 | 22.15 | 27.35 | 25.71 | 25.82 |
| 2 | 19.49 | 21.27 | 23.68 | 23.77 | 23.79 |
| 3 | 21.89 | 23.98 | 27.56 | 25.80 | 26.12 |
| 4 | 21.79 | 23.15 | 27.96 | 24.77 | 24.73 |
| 5 | 22.26 | 24.72 | 29.57 | 25.99 | 25.99 |
|
| Case | CRNN | NNPG | SVR | LVX | ARX |
| --- | --- | --- | --- | --- | --- |
| 1 | 9.46 | 12.93 | 11.80 | 11.15 | 13.33 |
| 2 | 8.90 | 12.12 | 10.90 | 14.61 | 12.40 |
| 3 | 12.70 | 14.75 | 13.49 | 12.07 | 15.48 |
| 4 | 9.64 | 12.45 | 11.12 | 10.21 | 12.71 |
| 5 | 8.90 | 11.60 | 10.84 | 10.03 | 11.80 |
| 6 | 10.13 | 13.72 | 12.20 | 11.95 | 14.29 |
| 7 | 11.91 | 15.02 | 14.86 | 12.00 | 14.79 |
| 8 | 10.72 | 11.54 | 12.50 | 10.25 | 12.00 |
| 9 | 8.90 | 11.78 | 10.92 | 10.25 | 12.28 |
| 10 | 8.97 | 13.16 | 12.46 | 10.08 | 13.57 |
| Mean | 10.02 | 12.91 | 12.48 | 11.32 | 13.27 |
| SD | 1.28 | 1.19 | 1.94 | 1.34 | 1.19 |
| 0
|
| Case | CRNN | NNPG | SVR | LVX | ARX |
| --- | --- | --- | --- | --- | --- |
| 1 | 20.76 | 22.15 | 27.35 | 25.71 | 25.82 |
| 2 | 19.49 | 21.27 | 23.68 | 23.77 | 23.79 |
| 3 | 21.89 | 23.98 | 27.56 | 25.80 | 26.12 |
| 4 | 21.79 | 23.15 | 27.96 | 24.77 | 24.73 |
|
| 5 | 22.26 | 24.72 | 29.57 | 25.99 | 25.99 |
| --- | --- | --- | --- | --- | --- |
| Mean | 21.24 | 23.05 | 27.23 | 25.21 | 25.36 |
| SD | 1.01 | 1.24 | 1.93 | 0.83 | 0.96 |
| 1
|
| Case | CRNN | NNPG | SVR | LVX | ARX |
| --- | --- | --- | --- | --- | --- |
| 1 | 20.76 | 22.15 | 27.35 | 25.71 | 25.82 |
| 2 | 19.49 | 21.27 | 23.68 | 23.77 | 23.79 |
| 3 | 21.89 | 23.98 | 27.56 | 25.80 | 26.12 |
| 4 | 21.79 | 23.15 | 27.96 | 24.77 | 24.73 |
|
| 10 | 8.97 | 13.16 | 12.46 | 10.08 | 13.57 |
| --- | --- | --- | --- | --- | --- |
| Mean | 10.02 | 12.91 | 12.48 | 11.32 | 13.27 |
| SD | 1.28 | 1.19 | 1.94 | 1.34 | 1.19 |
| 0
|
| Hidden-size | Output-size | i-vectors | Depth | Parameters |
| --- | --- | --- | --- | --- |
| 512 | 9000 | N | 6 | 43.0M |
| 512 | 9000 | Y | 6 | 43.4M |
|
| 512 | 27000 | N | 6 | 61.4M |
| --- | --- | --- | --- | --- |
| 512 | 27000 | Y | 6 | 61.8M |
| 1
|
| Hidden-size | Output-size | i-vectors | Depth | Parameters |
| --- | --- | --- | --- | --- |
| 512 | 9000 | N | 6 | 43.0M |
| 512 | 9000 | Y | 6 | 43.4M |
|
| Depth | Images | Time | Memory |
| --- | --- | --- | --- |
| 50 | 60K | 5h | 8x4.5G |
| 101 | 60K | 9h | 8x6.5G |
| 101 | 600K | 75h | 8x7.5G |
| 101 | 4M | ¿500h | 8x8G |
| 0
|
| Hidden-size | Output-size | i-vectors | Depth | Parameters |
| --- | --- | --- | --- | --- |
| 512 | 9000 | N | 6 | 43.0M |
|
| 512 | 9000 | Y | 6 | 43.4M |
| --- | --- | --- | --- | --- |
| 512 | 27000 | N | 6 | 61.4M |
| 512 | 27000 | Y | 6 | 61.8M |
| 1
|
| Hidden-size | Output-size | i-vectors | Depth | Parameters |
| --- | --- | --- | --- | --- |
| 512 | 9000 | N | 6 | 43.0M |
|
| 101 | 60K | 9h | 8x6.5G |
| --- | --- | --- | --- |
| 101 | 600K | 75h | 8x7.5G |
| 101 | 4M | ¿500h | 8x8G |
| 0
|
| Measure | H | A | MPI | | | |
| --- | --- | --- | --- | --- | --- | --- |
| corr | p-value | corr | p-value | corr | p-value | |
| PageRank | -0.87 | −5<br>6×10 | -0.81 | 0.0004 | -0.82 | 0.0003 |
| EigenvalueCentrality | -0.83 | 0.0002 | -0.80 | 0.0005 | -0.79 | 0.0007 |
| GravityResidual | -0.81 | 0.0003 | -0.76 | 0.0015 | -0.79 | 0.0007 |
| Introversion | 0.82 | 0.0002 | 0.70 | 0.0040 | 0.79 | 0.0006 |
|
| Activity(Normalized) | -0.81 | 0.0008 | -0.76 | 0.0003 | -0.79 | 0.0015 |
| --- | --- | --- | --- | --- | --- | --- |
| Activity(Raw) | -0.80 | 0.0006 | -0.68 | 0.0075 | -0.71 | 0.0040 |
| 1
|
| Measure | H | A | MPI | | | |
| --- | --- | --- | --- | --- | --- | --- |
| corr | p-value | corr | p-value | corr | p-value | |
| PageRank | -0.87 | −5<br>6×10 | -0.81 | 0.0004 | -0.82 | 0.0003 |
| EigenvalueCentrality | -0.83 | 0.0002 | -0.80 | 0.0005 | -0.79 | 0.0007 |
| GravityResidual | -0.81 | 0.0003 | -0.76 | 0.0015 | -0.79 | 0.0007 |
| Introversion | 0.82 | 0.0002 | 0.70 | 0.0040 | 0.79 | 0.0006 |
|
| Activities | PT | GL | BD | PN | PO | DS | HT |
| --- | --- | --- | --- | --- | --- | --- | --- |
| PT | 5 | 0 | 2 | 1 | 0 | 0 | 2 |
| GL | 0 | 7 | 0 | 1 | 0 | 3 | 0 |
| BD | 0 | 0 | 6 | 1 | 0 | 0 | 4 |
| PN | 0 | 0 | 1 | 5 | 3 | 0 | 1 |
| PO | 0 | 0 | 1 | 4 | 5 | 0 | 0 |
| DS | 0 | 2 | 0 | 1 | 0 | 7 | 0 |
| HT | 1 | 0 | 4 | 1 | 0 | 0 | 5 |
| 0
|
| Measure | H | A | MPI | | | |
| --- | --- | --- | --- | --- | --- | --- |
| corr | p-value | corr | p-value | corr | p-value | |
| PageRank | -0.87 | −5<br>6×10 | -0.81 | 0.0004 | -0.82 | 0.0003 |
| EigenvalueCentrality | -0.83 | 0.0002 | -0.80 | 0.0005 | -0.79 | 0.0007 |
|
| GravityResidual | -0.81 | 0.0003 | -0.76 | 0.0015 | -0.79 | 0.0007 |
| --- | --- | --- | --- | --- | --- | --- |
| Introversion | 0.82 | 0.0002 | 0.70 | 0.0040 | 0.79 | 0.0006 |
| Activity(Normalized) | -0.81 | 0.0008 | -0.76 | 0.0003 | -0.79 | 0.0015 |
| Activity(Raw) | -0.80 | 0.0006 | -0.68 | 0.0075 | -0.71 | 0.0040 |
| 1
|
| Measure | H | A | MPI | | | |
| --- | --- | --- | --- | --- | --- | --- |
| corr | p-value | corr | p-value | corr | p-value | |
| PageRank | -0.87 | −5<br>6×10 | -0.81 | 0.0004 | -0.82 | 0.0003 |
| EigenvalueCentrality | -0.83 | 0.0002 | -0.80 | 0.0005 | -0.79 | 0.0007 |
|
| PN | 0 | 0 | 1 | 5 | 3 | 0 | 1 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| PO | 0 | 0 | 1 | 4 | 5 | 0 | 0 |
| DS | 0 | 2 | 0 | 1 | 0 | 7 | 0 |
| HT | 1 | 0 | 4 | 1 | 0 | 0 | 5 |
| 0
|
| | DBPedia | WatDiv |
| --- | --- | --- |
| SHAPE | 2.99 | 1.74 |
|
| WARP | 1.01 | 1.54 |
| --- | --- | --- |
| VF | 1.38 | 1.04 |
| HF | 1.42 | 1.06 |
| 1
|
| | DBPedia | WatDiv |
| --- | --- | --- |
| SHAPE | 2.99 | 1.74 |
|
| | QR#4 | QR#5 | QR#6 | QR#7 | QR#10 |
| --- | --- | --- | --- | --- | --- |
| RDF-3X | 4.2 | 2.5 | 15.3 | 1.4 | 1.6 |
| OWLIM-SE | 705 | 16771 | 72 | 1708 | 3.65 |
| JenaTDB | 4.85 | 6.3 | 30.7 | 207 | 1.55 |
| WaterFowlMode2 | 3.66 | 2.3 | 13.4 | 1.2 | 1.4 |
| 0
|
| | DBPedia | WatDiv |
| --- | --- | --- |
| SHAPE | 2.99 | 1.74 |
| WARP | 1.01 | 1.54 |
|
| VF | 1.38 | 1.04 |
| --- | --- | --- |
| HF | 1.42 | 1.06 |
| 1
|
| | DBPedia | WatDiv |
| --- | --- | --- |
| SHAPE | 2.99 | 1.74 |
| WARP | 1.01 | 1.54 |
|
| JenaTDB | 4.85 | 6.3 | 30.7 | 207 | 1.55 |
| --- | --- | --- | --- | --- | --- |
| WaterFowlMode2 | 3.66 | 2.3 | 13.4 | 1.2 | 1.4 |
| 0
|
| #Params/<br>FLOPs | C |
| --- | --- |
| ≈4700/<br>6<br>≈4.8×10 | 64 |
| 144 | |
|
| ≈10000/<br>7<br>≈10 | 96 |
| --- | --- |
| 256 | |
| ≈17000/<br>7<br>≈1.7×10 | 128 |
| 361 | |
| 1
|
| #Params/<br>FLOPs | C |
| --- | --- |
| ≈4700/<br>6<br>≈4.8×10 | 64 |
| 144 | |
|
| Conv1 | 96×7×7,st.2,pad0 |
| --- | --- |
| Conv2 | 256×5×5,st.1,pad1 |
| Conv3 | 512×3×3,st.1,pad1 |
| Conv4 | 512×3×3,st.1,pad1 |
| Conv5 | 512×3×3,st.1,pad1 |
| Full6 | 4096dropout |
| Full7 | 4096dropout |
| Full8 | 1000softmax |
| 0
|
| #Params/<br>FLOPs | C |
| --- | --- |
| ≈4700/<br>6<br>≈4.8×10 | 64 |
| 144 | |
| ≈10000/<br>7<br>≈10 | 96 |
| 256 | |
|
| ≈17000/<br>7<br>≈1.7×10 | 128 |
| --- | --- |
| 361 | |
| 1
|
| #Params/<br>FLOPs | C |
| --- | --- |
| ≈4700/<br>6<br>≈4.8×10 | 64 |
| 144 | |
| ≈10000/<br>7<br>≈10 | 96 |
| 256 | |
|
| Conv3 | 512×3×3,st.1,pad1 |
| --- | --- |
| Conv4 | 512×3×3,st.1,pad1 |
| Conv5 | 512×3×3,st.1,pad1 |
| Full6 | 4096dropout |
| Full7 | 4096dropout |
| Full8 | 1000softmax |
| 0
|
| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |
| --- | --- | --- | --- | --- |
| L125.ash608 | 142 | 82 | 2.375 | 0.50 |
| L125.will199 | 135 | 119 | 2.562 | 0.35 |
| L125.west0167 | 69 | 73 | 1.906 | 0.22 |
| ash331 | 183 | 212 | 2.812 | 0.82 |
| west0132 | 105 | 85 | 4.297 | 0.42 |
| rw136 | 1635 | 17386 | 28.875 | 57.57 |
| bcspwr03 | 99 | 73 | 2.422 | 0.38 |
| gre115 | 5573 | 6659 | 82.812 | 28.77 |
| L125.dw162 | 469 | 214 | 8.360 | 1.15 |
|
| L125.can187 | 786 | 5353 | 16.984 | 23.22 |
| --- | --- | --- | --- | --- |
| L125.gre185 | 1300 | 2337 | 30.578 | 31.40 |
| L125.can161 | 15063 | 218627 | 580.797 | (1800)(cid:63) |
| L125.lop163 | 308 | 6319 | 16.031 | 33.22 |
| can144 | 1362 | 64203 | 31.250 | 443.49 |
| lunda | 385 | 2705 | 45.891 | 155.29 |
| L125.bcsstk05 | 331 | 2301 | 30.812 | 54.29 |
| L125.dwt193 | 259 | 129 | 29.719 | 73.74 |
| L125.fs1831 | 240 | 1175 | 35.016 | 36.21 |
| bcsstk04 | 600 | 89 | 26.796 | 80.01 |
| arc130 | 268 | 129 | 99.328 | 137.42 |
| moyenne | 1466 | 16414 | 53.981 | 147.92 |
| 1
|
| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |
| --- | --- | --- | --- | --- |
| L125.ash608 | 142 | 82 | 2.375 | 0.50 |
| L125.will199 | 135 | 119 | 2.562 | 0.35 |
| L125.west0167 | 69 | 73 | 1.906 | 0.22 |
| ash331 | 183 | 212 | 2.812 | 0.82 |
| west0132 | 105 | 85 | 4.297 | 0.42 |
| rw136 | 1635 | 17386 | 28.875 | 57.57 |
| bcspwr03 | 99 | 73 | 2.422 | 0.38 |
| gre115 | 5573 | 6659 | 82.812 | 28.77 |
| L125.dw162 | 469 | 214 | 8.360 | 1.15 |
|
| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |
| --- | --- | --- | --- | --- |
| ash219 | 137 | 111 | 1.187 | 0.18 |
| dwt72 | 26 | 59 | 0.500 | 0.07 |
| can62 | 57 | 119 | 0.500 | 0.15 |
| dwt66 | 8 | 31 | 0.312 | 0.06 |
| bcspwr02 | 49 | 51 | 0.484 | 0.06 |
| dwt59 | 137 | 201 | 0.969 | 0.30 |
| bcspwr01 | 13 | 13 | 0.125 | 0.02 |
| ash85 | 593 | 971 | 8.610 | 2.87 |
| dwt87 | 109 | 241 | 3.031 | 0.90 |
| impcolb | 428 | 380 | 1.532 | 0.59 |
| west0067 | 195 | 185 | 1.578 | 0.51 |
| will57 | 55 | 17 | 0.531 | 0.05 |
| can96 | 7787 | 259231 | 154.921 | 1131.60 |
| steam3 | 108 | 313 | 1.828 | 0.81 |
| curtis54 | 77 | 167 | 0.625 | 0.20 |
| can73 | 1138 | 6997 | 8.266 | 21.82 |
| bfw62a | 7 | 11 | 0.579 | 0.05 |
| ibm32 | 69 | 72 | 0.313 | 0.07 |
| pores1 | 48 | 7 | 0.204 | 0.09 |
| can61 | 90 | 5 | 2.109 | 0.82 |
| bcsstk01 | 0 | 39 | 0.063 | 1.63 |
| can24 | 0 | 17 | 0.000 | 0.05 |
| fidapm05 | 44 | 5 | 0.422 | 0.10 |
| fidap005 | 28 | 5 | 0.109 | 0.04 |
| moyenne | 467 | 11219 | 7.867 | 48.46 |
| 0
|
| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |
| --- | --- | --- | --- | --- |
| L125.ash608 | 142 | 82 | 2.375 | 0.50 |
| L125.will199 | 135 | 119 | 2.562 | 0.35 |
| L125.west0167 | 69 | 73 | 1.906 | 0.22 |
| ash331 | 183 | 212 | 2.812 | 0.82 |
| west0132 | 105 | 85 | 4.297 | 0.42 |
| rw136 | 1635 | 17386 | 28.875 | 57.57 |
| bcspwr03 | 99 | 73 | 2.422 | 0.38 |
| gre115 | 5573 | 6659 | 82.812 | 28.77 |
| L125.dw162 | 469 | 214 | 8.360 | 1.15 |
| L125.can187 | 786 | 5353 | 16.984 | 23.22 |
| L125.gre185 | 1300 | 2337 | 30.578 | 31.40 |
| L125.can161 | 15063 | 218627 | 580.797 | (1800)(cid:63) |
| L125.lop163 | 308 | 6319 | 16.031 | 33.22 |
| can144 | 1362 | 64203 | 31.250 | 443.49 |
| lunda | 385 | 2705 | 45.891 | 155.29 |
| L125.bcsstk05 | 331 | 2301 | 30.812 | 54.29 |
| L125.dwt193 | 259 | 129 | 29.719 | 73.74 |
|
| L125.fs1831 | 240 | 1175 | 35.016 | 36.21 |
| --- | --- | --- | --- | --- |
| bcsstk04 | 600 | 89 | 26.796 | 80.01 |
| arc130 | 268 | 129 | 99.328 | 137.42 |
| moyenne | 1466 | 16414 | 53.981 | 147.92 |
| 1
|
| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |
| --- | --- | --- | --- | --- |
| L125.ash608 | 142 | 82 | 2.375 | 0.50 |
| L125.will199 | 135 | 119 | 2.562 | 0.35 |
| L125.west0167 | 69 | 73 | 1.906 | 0.22 |
| ash331 | 183 | 212 | 2.812 | 0.82 |
| west0132 | 105 | 85 | 4.297 | 0.42 |
| rw136 | 1635 | 17386 | 28.875 | 57.57 |
| bcspwr03 | 99 | 73 | 2.422 | 0.38 |
| gre115 | 5573 | 6659 | 82.812 | 28.77 |
| L125.dw162 | 469 | 214 | 8.360 | 1.15 |
| L125.can187 | 786 | 5353 | 16.984 | 23.22 |
| L125.gre185 | 1300 | 2337 | 30.578 | 31.40 |
| L125.can161 | 15063 | 218627 | 580.797 | (1800)(cid:63) |
| L125.lop163 | 308 | 6319 | 16.031 | 33.22 |
| can144 | 1362 | 64203 | 31.250 | 443.49 |
| lunda | 385 | 2705 | 45.891 | 155.29 |
| L125.bcsstk05 | 331 | 2301 | 30.812 | 54.29 |
| L125.dwt193 | 259 | 129 | 29.719 | 73.74 |
|
| bcspwr01 | 13 | 13 | 0.125 | 0.02 |
| --- | --- | --- | --- | --- |
| ash85 | 593 | 971 | 8.610 | 2.87 |
| dwt87 | 109 | 241 | 3.031 | 0.90 |
| impcolb | 428 | 380 | 1.532 | 0.59 |
| west0067 | 195 | 185 | 1.578 | 0.51 |
| will57 | 55 | 17 | 0.531 | 0.05 |
| can96 | 7787 | 259231 | 154.921 | 1131.60 |
| steam3 | 108 | 313 | 1.828 | 0.81 |
| curtis54 | 77 | 167 | 0.625 | 0.20 |
| can73 | 1138 | 6997 | 8.266 | 21.82 |
| bfw62a | 7 | 11 | 0.579 | 0.05 |
| ibm32 | 69 | 72 | 0.313 | 0.07 |
| pores1 | 48 | 7 | 0.204 | 0.09 |
| can61 | 90 | 5 | 2.109 | 0.82 |
| bcsstk01 | 0 | 39 | 0.063 | 1.63 |
| can24 | 0 | 17 | 0.000 | 0.05 |
| fidapm05 | 44 | 5 | 0.422 | 0.10 |
| fidap005 | 28 | 5 | 0.109 | 0.04 |
| moyenne | 467 | 11219 | 7.867 | 48.46 |
| 0
|
| Relation | Precision | Recall | F-measure |
| --- | --- | --- | --- |
| SYN | 0.309 | 0.179 | 0.226 |
|
| ANT | 0.298 | 0.206 | 0.243 |
| --- | --- | --- | --- |
| HYPER | 0.397 | 0.343 | 0.368 |
| PART-OF | 0.200 | 0.116 | 0.147 |
| 1
|
| Relation | Precision | Recall | F-measure |
| --- | --- | --- | --- |
| SYN | 0.309 | 0.179 | 0.226 |
|
| Precision | Recall | F-measure | MAE |
| --- | --- | --- | --- |
| 0.892 | 0.811 | 0.872 | 0.084 |
| 0.852 | 0.746 | 0.825 | 0.132 |
| 0.912 | 0.740 | 0.865 | 0.107 |
| 0.873 | 0.730 | 0.836 | 0.129 |
| 0
|
| Relation | Precision | Recall | F-measure |
| --- | --- | --- | --- |
| SYN | 0.309 | 0.179 | 0.226 |
| ANT | 0.298 | 0.206 | 0.243 |
|
| HYPER | 0.397 | 0.343 | 0.368 |
| --- | --- | --- | --- |
| PART-OF | 0.200 | 0.116 | 0.147 |
| 1
|
| Relation | Precision | Recall | F-measure |
| --- | --- | --- | --- |
| SYN | 0.309 | 0.179 | 0.226 |
| ANT | 0.298 | 0.206 | 0.243 |
|
| 0.852 | 0.746 | 0.825 | 0.132 |
| --- | --- | --- | --- |
| 0.912 | 0.740 | 0.865 | 0.107 |
| 0.873 | 0.730 | 0.836 | 0.129 |
| 0
|
| iterations | RBs | traintime(hours) | inferencetime(sec) | SNR(dB) | SSIM |
| --- | --- | --- | --- | --- | --- |
| 10 | 1 | 2 | 0.04 | 26.07 | 0.9117 |
| 5 | 2 | 4 | 0.10 | 26.94 | 0.9221 |
|
| 2 | 5 | 8 | 0.12 | 26.55 | 0.9194 |
| --- | --- | --- | --- | --- | --- |
| deepResNet | 10 | 12 | 0.0522 | 24.33 | 0.8810 |
| CS-TV | n/a | n/a | 1.30 | 22.20 | 0.82 |
| CS-WV | n/a | n/a | 1.16 | 22.51 | 0.86 |
| 1
|
| iterations | RBs | traintime(hours) | inferencetime(sec) | SNR(dB) | SSIM |
| --- | --- | --- | --- | --- | --- |
| 10 | 1 | 2 | 0.04 | 26.07 | 0.9117 |
| 5 | 2 | 4 | 0.10 | 26.94 | 0.9221 |
|
| copies | RBs | inferencetime(sec) | SNR(dB),independent | SSIM,independent |
| --- | --- | --- | --- | --- |
| 10 | 1 | 0.04 | 27.03 | 0.923 |
| 5 | 2 | 0.10 | 27.01 | 0.9258 |
| 2 | 5 | 0.12 | 28.14 | 0.944 |
| 1 | 10 | 0.0522 | 24.33 | 0.8810 |
| CS-TV | n/a | 1.30 | 22.20 | 0.82 |
| CS-WV | n/a | 1.16 | 22.51 | 0.86 |
| 0
|
| iterations | RBs | traintime(hours) | inferencetime(sec) | SNR(dB) | SSIM |
| --- | --- | --- | --- | --- | --- |
| 10 | 1 | 2 | 0.04 | 26.07 | 0.9117 |
| 5 | 2 | 4 | 0.10 | 26.94 | 0.9221 |
| 2 | 5 | 8 | 0.12 | 26.55 | 0.9194 |
|
| deepResNet | 10 | 12 | 0.0522 | 24.33 | 0.8810 |
| --- | --- | --- | --- | --- | --- |
| CS-TV | n/a | n/a | 1.30 | 22.20 | 0.82 |
| CS-WV | n/a | n/a | 1.16 | 22.51 | 0.86 |
| 1
|
| iterations | RBs | traintime(hours) | inferencetime(sec) | SNR(dB) | SSIM |
| --- | --- | --- | --- | --- | --- |
| 10 | 1 | 2 | 0.04 | 26.07 | 0.9117 |
| 5 | 2 | 4 | 0.10 | 26.94 | 0.9221 |
| 2 | 5 | 8 | 0.12 | 26.55 | 0.9194 |
|
| 2 | 5 | 0.12 | 28.14 | 0.944 |
| --- | --- | --- | --- | --- |
| 1 | 10 | 0.0522 | 24.33 | 0.8810 |
| CS-TV | n/a | 1.30 | 22.20 | 0.82 |
| CS-WV | n/a | 1.16 | 22.51 | 0.86 |
| 0
|
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