Datasets:
BioMike
/
table-continuation-dataset

Dataset card Data Studio Files
xet
 Community
premise
string
hypothesis
string
label
int64
| Topic# | TopWords | | --- | --- | | 1 | promptingcomplicatedevisceratedpredeterminedlap<br>renegotiatinglooseentitylegalesejustice | | 2 | hamstrungairbrushedquasioutsoldfargo<br>ennobledtantalizeirrelevancenoncontroversialuntalented | | 3 | scariestpestknowinglycausingflub<br>mesmerizedawnedmillenniumecologicalecologist | | 4 | reelectionquixoticarthroscopicversatilitycommanded<br>hyperextendedanusprecipitatingunderhandknee | | 5 | believesigningballcarrierparallelanomalies<br>munchingproratedunsettlelinebackingbonus | | 6 | gainfullysettlesnarratorconsiderablearticles<br>narrativerosierdeviatingprotagonistdeductible | | 7 | faithfulbetchacorruptedineptretrench<br>martialedwinstondowdyislamiccorrupting | | 8 | capablemisdeeddashboardnavigationopportunistically<br>aerodynamicairbagsystembrakingmph | | 9 | apostlesoraclesbelieverdeliberatelyloafer<br>gospelaptmobbedmanipulatedialogue | | 10 | physiquejumpingvisualizinghedgehogzeitgeist<br>belongedloomaulingpostproductionplunk | | 11 | smirkysillybadnaturedfrat<br>thoughtfulfreakedmoronobtusestink | | 12 | offsettingpreparingacknowledgmentagreemisstating<br>litigatorpreventedrevokedpreseasonentomology | | 13 | undertakenwilsonianidealismbrethrenwriteoff<br>multipolarhegemonistmultilateralenlargementmutating |
| 14 | athleticallyfictitiousmyermajorleaguebaseballfamiliarizing<br>resurrectslugbackslidesupersedingartistically | | --- | --- | | 15 | dialogfilesdiabolicalliontown<br>passwordlistswisscoldbloodedoutgained | | 16 | recessedphasedbutyllowlightbalmy<br>redliningprescriptionmarchedmischaracterizationtertiary | | 17 | sponsortelevisesponsorshipfestivalsullied<br>ratificationinsinuatingwarheadstagedreconstruct | | 18 | trespassesbuckledivestmentschoolchildrefuel<br>ineffectivenesscoexistedrepentancedivvyingoverexposed |
1
| Topic# | TopWords | | --- | --- | | 1 | promptingcomplicatedevisceratedpredeterminedlap<br>renegotiatinglooseentitylegalesejustice | | 2 | hamstrungairbrushedquasioutsoldfargo<br>ennobledtantalizeirrelevancenoncontroversialuntalented | | 3 | scariestpestknowinglycausingflub<br>mesmerizedawnedmillenniumecologicalecologist | | 4 | reelectionquixoticarthroscopicversatilitycommanded<br>hyperextendedanusprecipitatingunderhandknee | | 5 | believesigningballcarrierparallelanomalies<br>munchingproratedunsettlelinebackingbonus | | 6 | gainfullysettlesnarratorconsiderablearticles<br>narrativerosierdeviatingprotagonistdeductible | | 7 | faithfulbetchacorruptedineptretrench<br>martialedwinstondowdyislamiccorrupting | | 8 | capablemisdeeddashboardnavigationopportunistically<br>aerodynamicairbagsystembrakingmph | | 9 | apostlesoraclesbelieverdeliberatelyloafer<br>gospelaptmobbedmanipulatedialogue | | 10 | physiquejumpingvisualizinghedgehogzeitgeist<br>belongedloomaulingpostproductionplunk | | 11 | smirkysillybadnaturedfrat<br>thoughtfulfreakedmoronobtusestink | | 12 | offsettingpreparingacknowledgmentagreemisstating<br>litigatorpreventedrevokedpreseasonentomology | | 13 | undertakenwilsonianidealismbrethrenwriteoff<br>multipolarhegemonistmultilateralenlargementmutating |
| Wittgenstein | Medline | | --- | --- | | k¨onntemanfragen: | abnormalitiessimilartothoseobservedin | | SatzderMathematik | wasobservedinthegroups | | aberdochsehrwohldenSatz | betweenthoseobtainedwith | | it’snonsensetosaythat | isusedforthetreatmentof | | wesaythathesees | thetreatmentgroups | | einbesondererFall | Thetwogroupswerefoundto | | AberhatteeraucheinBild | treatmentofpatientswith | | dasgleicheBildzuihrerDarstellung | Wepresenttheresultsobtained | | Erkl¨arungderBedeutung | wereobtainedfrompatientsduring | | BedeutungdesZeichens | reportedbythepatients | | denGebrauchdesWorts | resultsinasignificantincreasein |
0
| Topic# | TopWords | | --- | --- | | 1 | promptingcomplicatedevisceratedpredeterminedlap<br>renegotiatinglooseentitylegalesejustice | | 2 | hamstrungairbrushedquasioutsoldfargo<br>ennobledtantalizeirrelevancenoncontroversialuntalented | | 3 | scariestpestknowinglycausingflub<br>mesmerizedawnedmillenniumecologicalecologist | | 4 | reelectionquixoticarthroscopicversatilitycommanded<br>hyperextendedanusprecipitatingunderhandknee | | 5 | believesigningballcarrierparallelanomalies<br>munchingproratedunsettlelinebackingbonus | | 6 | gainfullysettlesnarratorconsiderablearticles<br>narrativerosierdeviatingprotagonistdeductible | | 7 | faithfulbetchacorruptedineptretrench<br>martialedwinstondowdyislamiccorrupting | | 8 | capablemisdeeddashboardnavigationopportunistically<br>aerodynamicairbagsystembrakingmph | | 9 | apostlesoraclesbelieverdeliberatelyloafer<br>gospelaptmobbedmanipulatedialogue | | 10 | physiquejumpingvisualizinghedgehogzeitgeist<br>belongedloomaulingpostproductionplunk | | 11 | smirkysillybadnaturedfrat<br>thoughtfulfreakedmoronobtusestink |
| 12 | offsettingpreparingacknowledgmentagreemisstating<br>litigatorpreventedrevokedpreseasonentomology | | --- | --- | | 13 | undertakenwilsonianidealismbrethrenwriteoff<br>multipolarhegemonistmultilateralenlargementmutating | | 14 | athleticallyfictitiousmyermajorleaguebaseballfamiliarizing<br>resurrectslugbackslidesupersedingartistically | | 15 | dialogfilesdiabolicalliontown<br>passwordlistswisscoldbloodedoutgained | | 16 | recessedphasedbutyllowlightbalmy<br>redliningprescriptionmarchedmischaracterizationtertiary | | 17 | sponsortelevisesponsorshipfestivalsullied<br>ratificationinsinuatingwarheadstagedreconstruct | | 18 | trespassesbuckledivestmentschoolchildrefuel<br>ineffectivenesscoexistedrepentancedivvyingoverexposed |
1
| Topic# | TopWords | | --- | --- | | 1 | promptingcomplicatedevisceratedpredeterminedlap<br>renegotiatinglooseentitylegalesejustice | | 2 | hamstrungairbrushedquasioutsoldfargo<br>ennobledtantalizeirrelevancenoncontroversialuntalented | | 3 | scariestpestknowinglycausingflub<br>mesmerizedawnedmillenniumecologicalecologist | | 4 | reelectionquixoticarthroscopicversatilitycommanded<br>hyperextendedanusprecipitatingunderhandknee | | 5 | believesigningballcarrierparallelanomalies<br>munchingproratedunsettlelinebackingbonus | | 6 | gainfullysettlesnarratorconsiderablearticles<br>narrativerosierdeviatingprotagonistdeductible | | 7 | faithfulbetchacorruptedineptretrench<br>martialedwinstondowdyislamiccorrupting | | 8 | capablemisdeeddashboardnavigationopportunistically<br>aerodynamicairbagsystembrakingmph | | 9 | apostlesoraclesbelieverdeliberatelyloafer<br>gospelaptmobbedmanipulatedialogue | | 10 | physiquejumpingvisualizinghedgehogzeitgeist<br>belongedloomaulingpostproductionplunk | | 11 | smirkysillybadnaturedfrat<br>thoughtfulfreakedmoronobtusestink |
| BedeutungdesZeichens | reportedbythepatients | | --- | --- | | denGebrauchdesWorts | resultsinasignificantincreasein |
0
| t | Highestweightedwords,dimensiont | Meaning | | --- | --- | --- | | 99 | horses,cat,teenager,grandma | people/animals |
| 120 | tables,driveway,customer,stations | domestic | | --- | --- | --- | | 183 | gate,territory,directions,phillipines | foreign | | 194 | sweat,disciplined,beliefs,marines | military |
1
| t | Highestweightedwords,dimensiont | Meaning | | --- | --- | --- | | 99 | horses,cat,teenager,grandma | people/animals |
| Word1 | Word2 | Sci.med | Pretrained | WordNet | | --- | --- | --- | --- | --- | | school | children | 0.034 | 0.462 | 0.463 | | university | students | 0.275 | 0.425 | 0.435 | | company | industry | 0.0434 | 0.524 | 0.520 | | boy | girl | 0.089 | 0.804 | 0.863 | | mother | father | 0.613 | 0.829 | 0.849 | | national | international | 0.687 | 0.650 | 0.687 | | library | books | 0.435 | 0.566 | 0.560 |
0
| t | Highestweightedwords,dimensiont | Meaning | | --- | --- | --- | | 99 | horses,cat,teenager,grandma | people/animals | | 120 | tables,driveway,customer,stations | domestic |
| 183 | gate,territory,directions,phillipines | foreign | | --- | --- | --- | | 194 | sweat,disciplined,beliefs,marines | military |
1
| t | Highestweightedwords,dimensiont | Meaning | | --- | --- | --- | | 99 | horses,cat,teenager,grandma | people/animals | | 120 | tables,driveway,customer,stations | domestic |
| boy | girl | 0.089 | 0.804 | 0.863 | | --- | --- | --- | --- | --- | | mother | father | 0.613 | 0.829 | 0.849 | | national | international | 0.687 | 0.650 | 0.687 | | library | books | 0.435 | 0.566 | 0.560 |
0
| | Model | Manual | | --- | --- | --- | | Quarter | ROI | ROI | | Q42005 | 0.90 | 0.59 | | Q12006 | 1.36 | 0.89 | | Q22006 | 1.98 | 0.37 | | Q32006 | 0.59 | 0.34 | | Q42006 | 1.72 | -0.28 |
| Q12006 | 1.39 | -0.39 | | --- | --- | --- | | Average | 1.32 | 0.25 |
1
| | Model | Manual | | --- | --- | --- | | Quarter | ROI | ROI | | Q42005 | 0.90 | 0.59 | | Q12006 | 1.36 | 0.89 | | Q22006 | 1.98 | 0.37 | | Q32006 | 0.59 | 0.34 | | Q42006 | 1.72 | -0.28 |
| Model | KL-weight | Acc4 | Acc2 | | --- | --- | --- | --- | | Ours | 1 | 0.83 | 0.71 | | Ours | 2 | 0.88 | 0.64 | | Ours | 4 | 0.82 | 0.69 | | Slow | 1 | 0.58 | 0.11 | | Slow | 2 | 0.65 | 0.12 | | Slow | 4 | 0.66 | 0.13 | | VAE | 1 | 0.80 | 0.13 | | VAE | 2 | 0.52 | 0.12 | | VAE | 4 | 0.51 | 0.13 |
0
| | Model | Manual | | --- | --- | --- | | Quarter | ROI | ROI |
| Q42005 | 0.90 | 0.59 | | --- | --- | --- | | Q12006 | 1.36 | 0.89 | | Q22006 | 1.98 | 0.37 | | Q32006 | 0.59 | 0.34 | | Q42006 | 1.72 | -0.28 | | Q12006 | 1.39 | -0.39 | | Average | 1.32 | 0.25 |
1
| | Model | Manual | | --- | --- | --- | | Quarter | ROI | ROI |
| VAE | 2 | 0.52 | 0.12 | | --- | --- | --- | --- | | VAE | 4 | 0.51 | 0.13 |
0
| Protocol | Type | | --- | --- | | Das(2016) | Remoteauthentication |
| Changetal.(2016) | Remoteauthentication | | --- | --- | | Jiangetal.(2016) | Remoteauthentication | | Farashetal.(2016) | Remoteauthentication | | Srinivasetal.(2017) | Remoteauthentication |
1
| Protocol | Type | | --- | --- | | Das(2016) | Remoteauthentication |
| Management | | --- | | ProbeRequest | | ProbeResponse | | Beacon | | Authentication | | Deauthentication | | ATIM |
0
| Protocol | Type | | --- | --- | | Das(2016) | Remoteauthentication | | Changetal.(2016) | Remoteauthentication | | Jiangetal.(2016) | Remoteauthentication |
| Farashetal.(2016) | Remoteauthentication | | --- | --- | | Srinivasetal.(2017) | Remoteauthentication |
1
| Protocol | Type | | --- | --- | | Das(2016) | Remoteauthentication | | Changetal.(2016) | Remoteauthentication | | Jiangetal.(2016) | Remoteauthentication |
| ProbeResponse | | --- | | Beacon | | Authentication | | Deauthentication | | ATIM |
0
| Numberofoperations | | | | | --- | --- | --- | --- | | Database | 1000 | 10000 | 100000 | | MicrosoftSQLServer | 2000 | 6000 | 53000 | | MySQL | 112 | 2529.8 | 32897.9 | | PostgreSQL | 86.8 | 2040.6 | 16465.2 | | MongoDB | 26.4 | 321.4 | 7814.6 |
| CouchDB | 2.1 | 18.73 | 227.22 | | --- | --- | --- | --- | | Couchbase | 45.83 | 445.72 | 7578.98 |
1
| Numberofoperations | | | | | --- | --- | --- | --- | | Database | 1000 | 10000 | 100000 | | MicrosoftSQLServer | 2000 | 6000 | 53000 | | MySQL | 112 | 2529.8 | 32897.9 | | PostgreSQL | 86.8 | 2040.6 | 16465.2 | | MongoDB | 26.4 | 321.4 | 7814.6 |
| Numberofoperations | | | | | --- | --- | --- | --- | | Database | 1000 | 10000 | 100000 | | MicrosoftSQLServer | 35.3 | 243.6 | 2313.4 | | MySQL | 4.1 | 117.8 | 844.8 | | PostgreSQL | 3.7 | 19.4 | 663.5 | | MongoDB | 1 | 6 | 43.5 | | CouchDB | 2.14 | 30.44 | 307.54 | | Couchbase | 4.34 | 34.89 | 345.77 |
0
| Numberofoperations | | | | | --- | --- | --- | --- | | Database | 1000 | 10000 | 100000 | | MicrosoftSQLServer | 2000 | 6000 | 53000 | | MySQL | 112 | 2529.8 | 32897.9 |
| PostgreSQL | 86.8 | 2040.6 | 16465.2 | | --- | --- | --- | --- | | MongoDB | 26.4 | 321.4 | 7814.6 | | CouchDB | 2.1 | 18.73 | 227.22 | | Couchbase | 45.83 | 445.72 | 7578.98 |
1
| Numberofoperations | | | | | --- | --- | --- | --- | | Database | 1000 | 10000 | 100000 | | MicrosoftSQLServer | 2000 | 6000 | 53000 | | MySQL | 112 | 2529.8 | 32897.9 |
| CouchDB | 2.14 | 30.44 | 307.54 | | --- | --- | --- | --- | | Couchbase | 4.34 | 34.89 | 345.77 |
0
| Alg. | H | AT | LWT | RWT | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | µh | σh | MSEh | µa | σa | MSEa | µl | σl | MSEl | µr | σr | MSEr |
| O | 22 | 17 | 765 | 12 | 8 | 201 | 28 | 46 | 2856 | 19 | 21 | 777 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | B | 19 | 11 | 478 | 23 | 36 | 1783 | 10 | 10 | 191 | 12 | 17 | 419 | | P | 8 | 3 | 72 | 9 | 4 | 106 | 9 | 6 | 115 | 10 | 9 | 187 |
1
| Alg. | H | AT | LWT | RWT | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | µh | σh | MSEh | µa | σa | MSEa | µl | σl | MSEl | µr | σr | MSEr |
| K | Ld | Lr | Lf | Lc | Ls | | --- | --- | --- | --- | --- | --- | | 3 | 6 | − | − | 7 | 7 | | 4 | 18 | − | − | 20 | 20 | | 5 | 49 | 53 | − | 53 | 53 | | 6 | 114 | 119 | 126 | 130 | 130 | | 7 | 250 | 257 | 297 | 306 | 307 | | 8 | 534 | 543 | 663 | 705 | 706 | | 9 | 1122 | 1136 | 1473 | 1591 | 1592 | | 10 | 2333 | 2356 | 3202 | 3543 | 3543 |
0
| Alg. | H | AT | LWT | RWT | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | µh | σh | MSEh | µa | σa | MSEa | µl | σl | MSEl | µr | σr | MSEr |
| O | 22 | 17 | 765 | 12 | 8 | 201 | 28 | 46 | 2856 | 19 | 21 | 777 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | B | 19 | 11 | 478 | 23 | 36 | 1783 | 10 | 10 | 191 | 12 | 17 | 419 | | P | 8 | 3 | 72 | 9 | 4 | 106 | 9 | 6 | 115 | 10 | 9 | 187 |
1
| Alg. | H | AT | LWT | RWT | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | µh | σh | MSEh | µa | σa | MSEa | µl | σl | MSEl | µr | σr | MSEr |
| 5 | 49 | 53 | − | 53 | 53 | | --- | --- | --- | --- | --- | --- | | 6 | 114 | 119 | 126 | 130 | 130 | | 7 | 250 | 257 | 297 | 306 | 307 | | 8 | 534 | 543 | 663 | 705 | 706 | | 9 | 1122 | 1136 | 1473 | 1591 | 1592 | | 10 | 2333 | 2356 | 3202 | 3543 | 3543 |
0
| PoseID<br>Yaw | 110<br>o<br>−90 | 120<br>o<br>−75 | 090<br>o<br>−60 | 080<br>o<br>−45 | 130<br>o<br>−30 | 140<br>o<br>−15 | 050<br>o<br>15 | 041<br>o<br>30 | 190<br>o<br>45 | 200<br>o<br>60 | 010<br>o<br>75 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | PLS | 31.9 | 77.5 | 89.2 | 93.4 | 88.3 | 98.1 | 98.1 | 93.4 | 90.6 | 87.3 | 72.3 | | MCCA | 40.9 | 74.2 | 82.2 | 72.3 | 68.5 | 92.0 | 90.6 | 79.8 | 74.7 | 77.9 | 71.4 | | PLS+LDA | 38.0 | 79.8 | 86.9 | 94.4 | 92.0 | 99.5 | 98.6 | 96.7 | 88.3 | 85.0 | 70.9 | | MCCA+LD | 48.8 | 66.2 | 81.7 | 88.7 | 100 | 100 | 100 | 99.5 | 83.1 | 80.3 | 67.6 | | MvDA | 56.8 | 72.3 | 84.5 | 92.0 | 96.7 | 100 | 100 | 99.1 | 89.7 | 86.4 | 71.4 |
| GMA | 52.6 | 73.2 | 84.5 | 90.1 | 100 | 100 | 100 | 100 | 90.6 | 85.9 | 71.8 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | MvDN | 70.4 | 82.2 | 88.3 | 91.1 | 99.1 | 100 | 100 | 99.1 | 93.0 | 91.1 | 79.8 | | LFHN(ours) | 100 | 97.7 | 100 | 100 | 89.3 | 100 | 93.8 | 97.1 | 95.8 | 93.5 | 100 |
1
| PoseID<br>Yaw | 110<br>o<br>−90 | 120<br>o<br>−75 | 090<br>o<br>−60 | 080<br>o<br>−45 | 130<br>o<br>−30 | 140<br>o<br>−15 | 050<br>o<br>15 | 041<br>o<br>30 | 190<br>o<br>45 | 200<br>o<br>60 | 010<br>o<br>75 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | PLS | 31.9 | 77.5 | 89.2 | 93.4 | 88.3 | 98.1 | 98.1 | 93.4 | 90.6 | 87.3 | 72.3 | | MCCA | 40.9 | 74.2 | 82.2 | 72.3 | 68.5 | 92.0 | 90.6 | 79.8 | 74.7 | 77.9 | 71.4 | | PLS+LDA | 38.0 | 79.8 | 86.9 | 94.4 | 92.0 | 99.5 | 98.6 | 96.7 | 88.3 | 85.0 | 70.9 | | MCCA+LD | 48.8 | 66.2 | 81.7 | 88.7 | 100 | 100 | 100 | 99.5 | 83.1 | 80.3 | 67.6 | | MvDA | 56.8 | 72.3 | 84.5 | 92.0 | 96.7 | 100 | 100 | 99.1 | 89.7 | 86.4 | 71.4 |
| 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 |
0
| PoseID<br>Yaw | 110<br>o<br>−90 | 120<br>o<br>−75 | 090<br>o<br>−60 | 080<br>o<br>−45 | 130<br>o<br>−30 | 140<br>o<br>−15 | 050<br>o<br>15 | 041<br>o<br>30 | 190<br>o<br>45 | 200<br>o<br>60 | 010<br>o<br>75 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | PLS | 31.9 | 77.5 | 89.2 | 93.4 | 88.3 | 98.1 | 98.1 | 93.4 | 90.6 | 87.3 | 72.3 | | MCCA | 40.9 | 74.2 | 82.2 | 72.3 | 68.5 | 92.0 | 90.6 | 79.8 | 74.7 | 77.9 | 71.4 | | PLS+LDA | 38.0 | 79.8 | 86.9 | 94.4 | 92.0 | 99.5 | 98.6 | 96.7 | 88.3 | 85.0 | 70.9 | | MCCA+LD | 48.8 | 66.2 | 81.7 | 88.7 | 100 | 100 | 100 | 99.5 | 83.1 | 80.3 | 67.6 | | MvDA | 56.8 | 72.3 | 84.5 | 92.0 | 96.7 | 100 | 100 | 99.1 | 89.7 | 86.4 | 71.4 |
| GMA | 52.6 | 73.2 | 84.5 | 90.1 | 100 | 100 | 100 | 100 | 90.6 | 85.9 | 71.8 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | MvDN | 70.4 | 82.2 | 88.3 | 91.1 | 99.1 | 100 | 100 | 99.1 | 93.0 | 91.1 | 79.8 | | LFHN(ours) | 100 | 97.7 | 100 | 100 | 89.3 | 100 | 93.8 | 97.1 | 95.8 | 93.5 | 100 |
1
| PoseID<br>Yaw | 110<br>o<br>−90 | 120<br>o<br>−75 | 090<br>o<br>−60 | 080<br>o<br>−45 | 130<br>o<br>−30 | 140<br>o<br>−15 | 050<br>o<br>15 | 041<br>o<br>30 | 190<br>o<br>45 | 200<br>o<br>60 | 010<br>o<br>75 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | PLS | 31.9 | 77.5 | 89.2 | 93.4 | 88.3 | 98.1 | 98.1 | 93.4 | 90.6 | 87.3 | 72.3 | | MCCA | 40.9 | 74.2 | 82.2 | 72.3 | 68.5 | 92.0 | 90.6 | 79.8 | 74.7 | 77.9 | 71.4 | | PLS+LDA | 38.0 | 79.8 | 86.9 | 94.4 | 92.0 | 99.5 | 98.6 | 96.7 | 88.3 | 85.0 | 70.9 | | MCCA+LD | 48.8 | 66.2 | 81.7 | 88.7 | 100 | 100 | 100 | 99.5 | 83.1 | 80.3 | 67.6 | | MvDA | 56.8 | 72.3 | 84.5 | 92.0 | 96.7 | 100 | 100 | 99.1 | 89.7 | 86.4 | 71.4 |
| .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 |
0
| n | granularityofspacedecomposition | | --- | --- | | k | numberofnearestneighbors | | d | dimensionality | | D | ad-dimensionalmetricspace | | dist(r,s) | thedistancefromrtos | | kNN(r,S) | theknearestneighborsofrfromS | | AkNNC(R,S) | ∀r∈RclassifyrbasedonkNN(r,S) | | ICCH | interval,cellcubeorhypercube | | ICSH | interval,circle,sphereorhypersphere | | I | inputdataset | | T | trainingdataset |
| cr | theclassofpointr | | --- | --- | | CT | thesetofclassesofdatasetT | | SI | sizeofinputdataset | | ST | sizeoftrainingdataset | | M | totalnumberofMaptasks | | R | totalnumberofReducetasks |
1
| n | granularityofspacedecomposition | | --- | --- | | k | numberofnearestneighbors | | d | dimensionality | | D | ad-dimensionalmetricspace | | dist(r,s) | thedistancefromrtos | | kNN(r,S) | theknearestneighborsofrfromS | | AkNNC(R,S) | ∀r∈RclassifyrbasedonkNN(r,S) | | ICCH | interval,cellcubeorhypercube | | ICSH | interval,circle,sphereorhypersphere | | I | inputdataset | | T | trainingdataset |
| Notation | Meaning | | --- | --- | | n,m,k | numberofskills,individuals,tasks | | ∆ | thesizeofthelargestminimalteam | | Cti | thei-thteamthatcoverstaskt | | µ | approximationratioofproblem | | x | (approximate)solutionofprimalLP | | N(C)ti | C’sadjacentteamsti | | Ct | setofteamsthatcovertaskt | | C | C={C,···,C}1k | | C | setofteamsontasktcorrespondingtotheseparatinghyper-planes | | C | C={C,···,C} | | C | setofinputteamsofLProunding |
0
| n | granularityofspacedecomposition | | --- | --- | | k | numberofnearestneighbors | | d | dimensionality | | D | ad-dimensionalmetricspace | | dist(r,s) | thedistancefromrtos | | kNN(r,S) | theknearestneighborsofrfromS | | AkNNC(R,S) | ∀r∈RclassifyrbasedonkNN(r,S) | | ICCH | interval,cellcubeorhypercube | | ICSH | interval,circle,sphereorhypersphere | | I | inputdataset |
| T | trainingdataset | | --- | --- | | cr | theclassofpointr | | CT | thesetofclassesofdatasetT | | SI | sizeofinputdataset | | ST | sizeoftrainingdataset | | M | totalnumberofMaptasks | | R | totalnumberofReducetasks |
1
| n | granularityofspacedecomposition | | --- | --- | | k | numberofnearestneighbors | | d | dimensionality | | D | ad-dimensionalmetricspace | | dist(r,s) | thedistancefromrtos | | kNN(r,S) | theknearestneighborsofrfromS | | AkNNC(R,S) | ∀r∈RclassifyrbasedonkNN(r,S) | | ICCH | interval,cellcubeorhypercube | | ICSH | interval,circle,sphereorhypersphere | | I | inputdataset |
| x | (approximate)solutionofprimalLP | | --- | --- | | N(C)ti | C’sadjacentteamsti | | Ct | setofteamsthatcovertaskt | | C | C={C,···,C}1k | | C | setofteamsontasktcorrespondingtotheseparatinghyper-planes | | C | C={C,···,C} | | C | setofinputteamsofLProunding |
0
| Pattern | Count | | --- | --- | | Q[5]-V[5]-W | 732 | | P[5]-K[5]-F | 286 |
| T[5]-O[5]-I | 145 | | --- | --- | | B[5]-C[5]-D | 75 | | G[5]-M[5]-S | 10 |
1
| Pattern | Count | | --- | --- | | Q[5]-V[5]-W | 732 | | P[5]-K[5]-F | 286 |
| | BL | SL | SR | BH | SH | Ins | | --- | --- | --- | --- | --- | --- | --- | | BL | 17 | 5 | 1 | - | - | 10 | | SL | 4 | 24 | 2 | - | 1 | 19 | | SR | 3 | - | 29 | - | 1 | 44 | | BH | - | 1 | - | 20 | 1 | 19 | | SH | 1 | - | - | 1 | 23 | 32 | | Del | - | 1 | - | - | - | - | | Total | 25 | 31 | 32 | 21 | 26 | 124 |
0
| Pattern | Count | | --- | --- | | Q[5]-V[5]-W | 732 | | P[5]-K[5]-F | 286 | | T[5]-O[5]-I | 145 |
| B[5]-C[5]-D | 75 | | --- | --- | | G[5]-M[5]-S | 10 |
1
| Pattern | Count | | --- | --- | | Q[5]-V[5]-W | 732 | | P[5]-K[5]-F | 286 | | T[5]-O[5]-I | 145 |
| SL | 4 | 24 | 2 | - | 1 | 19 | | --- | --- | --- | --- | --- | --- | --- | | SR | 3 | - | 29 | - | 1 | 44 | | BH | - | 1 | - | 20 | 1 | 19 | | SH | 1 | - | - | 1 | 23 | 32 | | Del | - | 1 | - | - | - | - | | Total | 25 | 31 | 32 | 21 | 26 | 124 |
0
| Features | L-SVM | K-SVM | NB | DT | RF | LR | | --- | --- | --- | --- | --- | --- | --- | | IDT | 0.7731 | 0.6374 | 0.5984 | 0.5895 | 0.5567 | 0.6425 |
| MicroExpression | 0.7502 | 0.7540 | 0.7629 | 0.7269 | 0.8064 | 0.7398 | | --- | --- | --- | --- | --- | --- | --- | | Transcript | 0.6457 | 0.4667 | 0.6625 | 0.5251 | 0.6172 | 0.5643 | | MFCC | 0.7694 | 0.8171 | 0.6726 | 0.4369 | 0.7393 | 0.6683 | | IDT+MicroExpression | 0.8347 | 0.7540 | 0.7629 | 0.7687 | 0.8184 | 0.7419 | | IDT+MicroExpression+Transcripts | 0.8347 | 0.7540 | 0.7776 | 0.7777 | 0.8184 | 0.7419 | | IDT+MicroExpression+MFCC | 0.8596 | 0.8233 | 0.7629 | 0.7687 | 0.8477 | 0.7894 | | AllModalities | 0.8773 | 0.8233 | 0.7776 | 0.7777 | 0.8477 | 0.7894 |
1
| Features | L-SVM | K-SVM | NB | DT | RF | LR | | --- | --- | --- | --- | --- | --- | --- | | IDT | 0.7731 | 0.6374 | 0.5984 | 0.5895 | 0.5567 | 0.6425 |
| Features | L-SVM | K-SVM | NB | DT | RF | LR | | --- | --- | --- | --- | --- | --- | --- | | GTMicroExpression | 0.7964 | 0.8102 | 0.8325 | 0.7731 | 0.8151 | 0.8275 | | GTMicroExpression+IDT | 0.8456 | 0.8137 | 0.8468 | 0.7834 | 0.8205 | 0.8988 | | GTMicroExpression+IDT+Transcript | 0.8594 | 0.8137 | 0.8923 | 0.8074 | 0.8205 | 0.8988 | | GTMicroExpression+IDT+MFCC | 0.8969 | 0.9002 | 0.8668 | 0.7834 | 0.8319 | 0.9221 | | GTMicroExpression+AllModalities | 0.9065 | 0.9002 | 0.8905 | 0.8074 | 0.8731 | 0.9221 |
0
| Features | L-SVM | K-SVM | NB | DT | RF | LR | | --- | --- | --- | --- | --- | --- | --- | | IDT | 0.7731 | 0.6374 | 0.5984 | 0.5895 | 0.5567 | 0.6425 | | MicroExpression | 0.7502 | 0.7540 | 0.7629 | 0.7269 | 0.8064 | 0.7398 | | Transcript | 0.6457 | 0.4667 | 0.6625 | 0.5251 | 0.6172 | 0.5643 | | MFCC | 0.7694 | 0.8171 | 0.6726 | 0.4369 | 0.7393 | 0.6683 | | IDT+MicroExpression | 0.8347 | 0.7540 | 0.7629 | 0.7687 | 0.8184 | 0.7419 | | IDT+MicroExpression+Transcripts | 0.8347 | 0.7540 | 0.7776 | 0.7777 | 0.8184 | 0.7419 |
| IDT+MicroExpression+MFCC | 0.8596 | 0.8233 | 0.7629 | 0.7687 | 0.8477 | 0.7894 | | --- | --- | --- | --- | --- | --- | --- | | AllModalities | 0.8773 | 0.8233 | 0.7776 | 0.7777 | 0.8477 | 0.7894 |
1
| Features | L-SVM | K-SVM | NB | DT | RF | LR | | --- | --- | --- | --- | --- | --- | --- | | IDT | 0.7731 | 0.6374 | 0.5984 | 0.5895 | 0.5567 | 0.6425 | | MicroExpression | 0.7502 | 0.7540 | 0.7629 | 0.7269 | 0.8064 | 0.7398 | | Transcript | 0.6457 | 0.4667 | 0.6625 | 0.5251 | 0.6172 | 0.5643 | | MFCC | 0.7694 | 0.8171 | 0.6726 | 0.4369 | 0.7393 | 0.6683 | | IDT+MicroExpression | 0.8347 | 0.7540 | 0.7629 | 0.7687 | 0.8184 | 0.7419 | | IDT+MicroExpression+Transcripts | 0.8347 | 0.7540 | 0.7776 | 0.7777 | 0.8184 | 0.7419 |
| GTMicroExpression+IDT+MFCC | 0.8969 | 0.9002 | 0.8668 | 0.7834 | 0.8319 | 0.9221 | | --- | --- | --- | --- | --- | --- | --- | | GTMicroExpression+AllModalities | 0.9065 | 0.9002 | 0.8905 | 0.8074 | 0.8731 | 0.9221 |
0
| n | H(n)P | | --- | --- | | 4 | 1 | | 5 | 25 | | 6 | 1317 |
| 7 | 96012 | | --- | --- | | 8 | 8976600 | | 9 | 1027205280 | | 10 | 139315157730 | | 11 | 21864486188160 | | 12 | 3898841480307900 | | 13 | 778680435365714700 | | 14 | 172192746831203449890 | | 15 | 41765231538761743574100 | | 16 | 11024455369912310561835600 | | 17 | 3146065407516184280981053200 | | 18 | 965135197612755256313598822450 | | 19 | 316731891055609655106993297185400 | | 20 | 110718818921232836033343337842628500 |
1
| n | H(n)P | | --- | --- | | 4 | 1 | | 5 | 25 | | 6 | 1317 |
| n | tn | | --- | --- | | 8 | 560 | | 9 | 191520 | | 10 | 42058800 | | 11 | 7864256400 | | 12 | 1407126890400 | | 13 | 257752421166240 | | 14 | 50607986220311520 | | 15 | 10995419195575214400 | | 16 | 2692773804667509763200 | | 17 | 747221542837742897724800 | | 18 | 233698171655650029030743040 | | 19 | 81472765051132560093387934080 | | 20 | 31268587126068905034073041062400 |
0
| n | H(n)P | | --- | --- | | 4 | 1 |
| 5 | 25 | | --- | --- | | 6 | 1317 | | 7 | 96012 | | 8 | 8976600 | | 9 | 1027205280 | | 10 | 139315157730 | | 11 | 21864486188160 | | 12 | 3898841480307900 | | 13 | 778680435365714700 | | 14 | 172192746831203449890 | | 15 | 41765231538761743574100 | | 16 | 11024455369912310561835600 | | 17 | 3146065407516184280981053200 | | 18 | 965135197612755256313598822450 | | 19 | 316731891055609655106993297185400 | | 20 | 110718818921232836033343337842628500 |
1
| n | H(n)P | | --- | --- | | 4 | 1 |
| 13 | 257752421166240 | | --- | --- | | 14 | 50607986220311520 | | 15 | 10995419195575214400 | | 16 | 2692773804667509763200 | | 17 | 747221542837742897724800 | | 18 | 233698171655650029030743040 | | 19 | 81472765051132560093387934080 | | 20 | 31268587126068905034073041062400 |
0
| LayerType | Parameters | | | --- | --- | --- | | Input | 94x24pixelsRGBimage | | | AvgPooling | #323x3stride2 | — |
| Convolution | #325x5stride3 | #325x5stride5 | | --- | --- | --- | | Concatenation | channel-wise | | | Dropout | 0.5ratio | | | FC | #32withTanHactivation | | | FC | #6withscaledTanHactivation | |
1
| LayerType | Parameters | | | --- | --- | --- | | Input | 94x24pixelsRGBimage | | | AvgPooling | #323x3stride2 | — |
| LayerType | Parameters | | --- | --- | | Input | 94x24pixelsRGBimage | | Convolution | #643x3stride1 | | MaxPooling | #643x3stride1 | | Smallbasicblock | #1283x3stride1 | | MaxPooling | #643x3stride(2,1) | | Smallbasicblock | #2563x3stride1 | | Smallbasicblock | #2563x3stride1 | | MaxPooling | #643x3stride(2,1) | | Dropout | 0.5ratio | | Convolution | #2564x1stride1 | | Dropout | 0.5ratio | | Convolution | #classnumber1x13stride1 |
0
| LayerType | Parameters | | | --- | --- | --- | | Input | 94x24pixelsRGBimage | | | AvgPooling | #323x3stride2 | — |
| Convolution | #325x5stride3 | #325x5stride5 | | --- | --- | --- | | Concatenation | channel-wise | | | Dropout | 0.5ratio | | | FC | #32withTanHactivation | | | FC | #6withscaledTanHactivation | |
1
| LayerType | Parameters | | | --- | --- | --- | | Input | 94x24pixelsRGBimage | | | AvgPooling | #323x3stride2 | — |
| Dropout | 0.5ratio | | --- | --- | | Convolution | #classnumber1x13stride1 |
0
| Method\Step | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 | | --- | --- | --- | --- | --- | --- | | Gauss-Newton | 0.0614 | | | | | | GradientDescent | 0.1415 | 0.0618 | 0.0614 | 0.1254 | 1.4633 | | Conjugate-Fletcher | 0.1056 | 0.0623 | 0.0693 | 0.0898 | 1.6338 | | Conjugate-Polak | 0.1711 | 0.0625 | 0.1639 | 0.1967 | 2.6599 |
| Conjugate-Hestenes | 0.8177 | 0.3612 | 0.3575 | 0.8883 | 2.0041 | | --- | --- | --- | --- | --- | --- | | Conjugate-DaiYun | 1.429 | 2.8531 | 0.583 | 0.6836 | 6.2065 | | Newton’sMethod | 0.0623 | 0.1601 | 1.1828 | 3.0661 | 5.8747 |
1
| Method\Step | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 | | --- | --- | --- | --- | --- | --- | | Gauss-Newton | 0.0614 | | | | | | GradientDescent | 0.1415 | 0.0618 | 0.0614 | 0.1254 | 1.4633 | | Conjugate-Fletcher | 0.1056 | 0.0623 | 0.0693 | 0.0898 | 1.6338 | | Conjugate-Polak | 0.1711 | 0.0625 | 0.1639 | 0.1967 | 2.6599 |
| Method\Stepsize | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 | | --- | --- | --- | --- | --- | --- | | Gauss-Newton | 0.0077 | | | | | | GradientDescent | 0.0431 | 0.0259 | 0.0136 | 0.023 | 0.067 | | Conjugate-Fletcher | 0.0384 | 0.0216 | 0.0115 | 0.0222 | 0.0526 | | Conjugate-Polak | 0.0373 | 0.0218 | 0.0118 | 0.0153 | 0.0447 | | Conjugate-Hestenes | 0.0332 | 0.0214 | 0.0119 | 0.0196 | 0.0233 | | Conjugate-DaiYun | 0.0241 | 0.0185 | 0.0192 | 0.02 | 0.0244 | | Newton’sMethod | 0.0196 | 0.0186 | 0.0512 | 0.0583 | 0.0569 |
0
| Method\Step | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 | | --- | --- | --- | --- | --- | --- | | Gauss-Newton | 0.0614 | | | | |
| GradientDescent | 0.1415 | 0.0618 | 0.0614 | 0.1254 | 1.4633 | | --- | --- | --- | --- | --- | --- | | Conjugate-Fletcher | 0.1056 | 0.0623 | 0.0693 | 0.0898 | 1.6338 | | Conjugate-Polak | 0.1711 | 0.0625 | 0.1639 | 0.1967 | 2.6599 | | Conjugate-Hestenes | 0.8177 | 0.3612 | 0.3575 | 0.8883 | 2.0041 | | Conjugate-DaiYun | 1.429 | 2.8531 | 0.583 | 0.6836 | 6.2065 | | Newton’sMethod | 0.0623 | 0.1601 | 1.1828 | 3.0661 | 5.8747 |
1
| Method\Step | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 | | --- | --- | --- | --- | --- | --- | | Gauss-Newton | 0.0614 | | | | |
| Conjugate-DaiYun | 0.0241 | 0.0185 | 0.0192 | 0.02 | 0.0244 | | --- | --- | --- | --- | --- | --- | | Newton’sMethod | 0.0196 | 0.0186 | 0.0512 | 0.0583 | 0.0569 |
0
| Datasets | IC13 | IC15 | | | | | | --- | --- | --- | --- | --- | --- | --- | | R | P | F | R | P | F | | | Det | 0.844 | 0.912 | 0.876 | 0.785 | 0.878 | 0.829 |
| Det+Rec | 0.847 | 0.918 | 0.881 | 0.804 | 0.881 | 0.842 | | --- | --- | --- | --- | --- | --- | --- | | Det+Rec-lex | 0.838 | 0.957 | 0.894 | 0.792 | 0.912 | 0.848 |
1
| Datasets | IC13 | IC15 | | | | | | --- | --- | --- | --- | --- | --- | --- | | R | P | F | R | P | F | | | Det | 0.844 | 0.912 | 0.876 | 0.785 | 0.878 | 0.829 |
| Dataset | PTA | MP | DV | Ours | | --- | --- | --- | --- | --- | | Seq1 | 0.2431 | 0.2575 | 0.0531 | 0.0636 | | Seq2 | 0.0988 | 0.0644 | 0.0457 | 0.0569 | | Seq3 | 0.0596 | 0.0682 | 0.0346 | 0.0374 | | Seq4 | 0.0877 | 0.0772 | 0.0379 | 0.0428 |
0
| Datasets | IC13 | IC15 | | | | | | --- | --- | --- | --- | --- | --- | --- | | R | P | F | R | P | F | | | Det | 0.844 | 0.912 | 0.876 | 0.785 | 0.878 | 0.829 |
| Det+Rec | 0.847 | 0.918 | 0.881 | 0.804 | 0.881 | 0.842 | | --- | --- | --- | --- | --- | --- | --- | | Det+Rec-lex | 0.838 | 0.957 | 0.894 | 0.792 | 0.912 | 0.848 |
1
| Datasets | IC13 | IC15 | | | | | | --- | --- | --- | --- | --- | --- | --- | | R | P | F | R | P | F | | | Det | 0.844 | 0.912 | 0.876 | 0.785 | 0.878 | 0.829 |
| Seq2 | 0.0988 | 0.0644 | 0.0457 | 0.0569 | | --- | --- | --- | --- | --- | | Seq3 | 0.0596 | 0.0682 | 0.0346 | 0.0374 | | Seq4 | 0.0877 | 0.0772 | 0.0379 | 0.0428 |
0
| η | 0.001 | 0.005 | 0.01 | 0.0125 | | --- | --- | --- | --- | --- | | Nc | 5 | 9 | 16 | 20 | | τ | 3 | 5 | 6 | 7 |
| a | 23 | 24 | 24 | 27 | | --- | --- | --- | --- | --- | | Pc | 0.9999 | 0.9636 | 0.5014 | 0.1618 |
1
| η | 0.001 | 0.005 | 0.01 | 0.0125 | | --- | --- | --- | --- | --- | | Nc | 5 | 9 | 16 | 20 | | τ | 3 | 5 | 6 | 7 |
| τ | 0.00 | 0.05 | 0.10 | 0.15 | 0.20 | 0.25 | | --- | --- | --- | --- | --- | --- | --- | | DE(c,c)d | 0.000 | 0.050 | 0.100 | 0.150 | 0.200 | 0.231 | | DE(c,c)i | 0.000 | 0.050 | 0.055 | 0.055 | 0.055 | 0.055 | | SFD | 43490 | 24602 | 14370 | 9041 | 3444 | 0 | | KTD | 123626 | 72938 | 45636 | 28652 | 11054 | 0 |
0
| η | 0.001 | 0.005 | 0.01 | 0.0125 | | --- | --- | --- | --- | --- | | Nc | 5 | 9 | 16 | 20 |
| τ | 3 | 5 | 6 | 7 | | --- | --- | --- | --- | --- | | a | 23 | 24 | 24 | 27 | | Pc | 0.9999 | 0.9636 | 0.5014 | 0.1618 |
1
| η | 0.001 | 0.005 | 0.01 | 0.0125 | | --- | --- | --- | --- | --- | | Nc | 5 | 9 | 16 | 20 |
| SFD | 43490 | 24602 | 14370 | 9041 | 3444 | 0 | | --- | --- | --- | --- | --- | --- | --- | | KTD | 123626 | 72938 | 45636 | 28652 | 11054 | 0 |
0
| Type | Machines | | --- | --- | | HPC | CPU1,CPU2 | | DiskI/O | DISK1,DISK2 |
| HTTPServer | WEB1,WEB2 | | --- | --- | | DBMSserver | DBMS1,DBMS2 |
1
| Type | Machines | | --- | --- | | HPC | CPU1,CPU2 | | DiskI/O | DISK1,DISK2 |
| | FutureGrid | FutureGridx2 | XSEDE | XSEDEx2 | OSG | OSGx2 | | --- | --- | --- | --- | --- | --- | --- | | Partitions | 14 | 28 | 13 | 26 | 200 | 400 | | SimultaneousJobs | 477 | 954 | 6600 | 13200 | 42300 | 84600 | | JobsperHour | 78 | 154 | 1090 | 2169 | 21254 | 42455 | | Services | 77 | 144 | 260 | 520 | 4000 | 8000 | | Nodes | 608 | 1216 | N/A | N/A | N/A | N/A | | NetworkLinks | 6 | 12 | N/A | N/A | N/A | N/A | | Info.databases | 1 | 1 | 1 | 1 | 1 | 1 | | Webportals | 1 | 1 | 1 | 1 | 1 | 1 | | Accountingsystems | 1 | 1 | 1 | 1 | 1 | 1 | | Metaschedulers | 1 | 2 | 2 | 4 | 2 | 4 | | Monitoringsystems | 2 | 4 | 1 | 1 | 1 | 1 | | ScienceGateways | 0 | 0 | 10 | 20 | 20 | 40 |
0
| Type | Machines | | --- | --- | | HPC | CPU1,CPU2 |
| DiskI/O | DISK1,DISK2 | | --- | --- | | HTTPServer | WEB1,WEB2 | | DBMSserver | DBMS1,DBMS2 |
1
| Type | Machines | | --- | --- | | HPC | CPU1,CPU2 |
| Webportals | 1 | 1 | 1 | 1 | 1 | 1 | | --- | --- | --- | --- | --- | --- | --- | | Accountingsystems | 1 | 1 | 1 | 1 | 1 | 1 | | Metaschedulers | 1 | 2 | 2 | 4 | 2 | 4 | | Monitoringsystems | 2 | 4 | 1 | 1 | 1 | 1 | | ScienceGateways | 0 | 0 | 10 | 20 | 20 | 40 |
0
| datasetperplexitylink | | --- | | Wikipediaenglishcorpussnapshot2014/09/17(1.5Bwords)27.1 |
| 1Bwordbenchmark(shuffledsentences)24.2 | | --- | | OpenSubtitles(923Mwords)17 | | ITHelpdeskTroubleshooting(30Mwords)8 | | MovieTriplets(1Mwords)27 | | PTB(1Mwords)62.34 |
1
| datasetperplexitylink | | --- | | Wikipediaenglishcorpussnapshot2014/09/17(1.5Bwords)27.1 |
| Dataset | #datapoints | #features | Density(average<br>numberoffeatures<br>perdatapoint) | Comments | | --- | --- | --- | --- | --- | | NH2010 | 48,838 | 48,838 | 4.8026 | Topologicalgraphof49<br>CensusBlocksinNewHampshire. | | DBLP | 5,425,964 | 5,425,964 | 3.1880 | Authorshipnetworkof1.4Mauthors<br>and4Mpublications,with8.65Medges. | | MovieLens | ∼10M | 82,250 | 200 | 10Mmovieratingsfrom71,568users<br>for10,682movies. | | EN-Wiki | 20,207,156 | 213,272 | 200 | SubsetofEnglishWikipediadump. |
0
| datasetperplexitylink | | --- | | Wikipediaenglishcorpussnapshot2014/09/17(1.5Bwords)27.1 | | 1Bwordbenchmark(shuffledsentences)24.2 | | OpenSubtitles(923Mwords)17 |
| ITHelpdeskTroubleshooting(30Mwords)8 | | --- | | MovieTriplets(1Mwords)27 | | PTB(1Mwords)62.34 |
1
| datasetperplexitylink | | --- | | Wikipediaenglishcorpussnapshot2014/09/17(1.5Bwords)27.1 | | 1Bwordbenchmark(shuffledsentences)24.2 | | OpenSubtitles(923Mwords)17 |
| MovieLens | ∼10M | 82,250 | 200 | 10Mmovieratingsfrom71,568users<br>for10,682movies. | | --- | --- | --- | --- | --- | | EN-Wiki | 20,207,156 | 213,272 | 200 | SubsetofEnglishWikipediadump. |
0
| N | )f(N | g(N,f)x | | --- | --- | --- | | 000 | 0 | M=1 | | 001 | 1 | M=4 | | 010 | 1 | M=4 |
| 011 | 1 | M=4 | | --- | --- | --- | | 100 | 1 | M=4 | | 101 | 0 | M=2 | | 110 | 1 | M=4 | | 111 | 0 | M=2 |
1
| N | )f(N | g(N,f)x | | --- | --- | --- | | 000 | 0 | M=1 | | 001 | 1 | M=4 | | 010 | 1 | M=4 |
| x1,1 | x1,2 | ... | ... | x1,N | | --- | --- | --- | --- | --- | | x2,1 | x2,2 | ... | ... | x2,N | | ... | ... | ... | ... | ... | | ... | ... | ... | ... | ... | | xM,1 | xM,2 | ... | ... | xM,N |
0
| N | )f(N | g(N,f)x | | --- | --- | --- | | 000 | 0 | M=1 |
| 001 | 1 | M=4 | | --- | --- | --- | | 010 | 1 | M=4 | | 011 | 1 | M=4 | | 100 | 1 | M=4 | | 101 | 0 | M=2 | | 110 | 1 | M=4 | | 111 | 0 | M=2 |
1
| N | )f(N | g(N,f)x | | --- | --- | --- | | 000 | 0 | M=1 |
| ... | ... | ... | ... | ... | | --- | --- | --- | --- | --- | | ... | ... | ... | ... | ... | | xM,1 | xM,2 | ... | ... | xM,N |
0
| MeasuresonSets | m(A∪B)=m(A)+m(B)−m(A∩B) | | --- | --- | | ProbabilityTheory | P(A∨B\|I)=P(A\|I)+P(B\|I)−P(A,B\|I) |
| InformationTheory | I(A;B)=H(A)+H(B)−H(A,B) | | --- | --- | | Polya’sMinMaxRule | max(A,B)=A+B−min(A,B) | | IntegralDivisors | log(LCM(A,B))=log(A)+log(B)−log(GCD(A,B)) | | EulerCharacteristic | χ=V−E+F | | SphericalExcess | (A+B+C)−π | | ThreeSlitProblem | I(A,B,C)=\|A(cid:116)B(cid:116)C\|−\|A(cid:116)B\|−\|A(cid:116)C\|−\|B(cid:116)C\|+\|A\|+\|B\|+\|C\|3 |
1
| MeasuresonSets | m(A∪B)=m(A)+m(B)−m(A∩B) | | --- | --- | | ProbabilityTheory | P(A∨B\|I)=P(A\|I)+P(B\|I)−P(A,B\|I) |
| 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
| MeasuresonSets | m(A∪B)=m(A)+m(B)−m(A∩B) | | --- | --- | | ProbabilityTheory | P(A∨B\|I)=P(A\|I)+P(B\|I)−P(A,B\|I) | | InformationTheory | I(A;B)=H(A)+H(B)−H(A,B) | | Polya’sMinMaxRule | max(A,B)=A+B−min(A,B) | | IntegralDivisors | log(LCM(A,B))=log(A)+log(B)−log(GCD(A,B)) | | EulerCharacteristic | χ=V−E+F |
| SphericalExcess | (A+B+C)−π | | --- | --- | | ThreeSlitProblem | I(A,B,C)=\|A(cid:116)B(cid:116)C\|−\|A(cid:116)B\|−\|A(cid:116)C\|−\|B(cid:116)C\|+\|A\|+\|B\|+\|C\|3 |
1
| MeasuresonSets | m(A∪B)=m(A)+m(B)−m(A∩B) | | --- | --- | | ProbabilityTheory | P(A∨B\|I)=P(A\|I)+P(B\|I)−P(A,B\|I) | | InformationTheory | I(A;B)=H(A)+H(B)−H(A,B) | | Polya’sMinMaxRule | max(A,B)=A+B−min(A,B) | | IntegralDivisors | log(LCM(A,B))=log(A)+log(B)−log(GCD(A,B)) | | EulerCharacteristic | χ=V−E+F |
| 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
| Conditions | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ProposedMethod(FullBand) | 82.14 | 80.71 | 79.29 | 82.14 | 80.71 | 82.14 | 82.14 | 81.43 | 80.00 | 79.29 | | CPD+SVM(FullBand) | 46.43 | 83.57 | 83.57 | 83.57 | 83.57 | 46.43 | 46.43 | 83.57 | 83.57 | 46.43 | | CSP+SVM(FullBand) | - | - | - | - | - | - | - | - | - | - | | ProposedMethod(8∼21Hz) | 80.71 | 81.43 | 80.00 | 82.14 | 81.43 | 81.43 | 81.43 | 79.29 | 80.00 | 79.29 | | CPD+SVM(8∼21Hz) | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 |
| CSP+SVM(8∼21Hz) | - | - | - | - | - | - | - | - | - | - | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ProposedMethod(1∼7Hz) | 66.43 | 65.00 | 62.14 | 65.00 | 64.29 | 66.43 | 66.43 | 66.43 | 65.71 | 65.71 | | CPD+SVM(1∼7Hz) | 50.00 | 50.71 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 | 50.71 | 50.00 | 50.00 | | CSP+SVM(1∼7Hz) | - | - | - | - | - | - | - | - | - | - | | ProposedMethod(22∼30Hz) | 70.71 | 71.43 | 71.43 | 68.57 | 71.43 | 68.57 | 70.00 | 68.57 | 69.29 | 70.71 | | CPD+SVM(22∼30Hz) | 56.43 | 50.00 | 50.00 | 56.43 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 | | CSP+SVM(22∼30Hz) | - | - | - | - | - | - | - | - | - | - |
1
| Conditions | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ProposedMethod(FullBand) | 82.14 | 80.71 | 79.29 | 82.14 | 80.71 | 82.14 | 82.14 | 81.43 | 80.00 | 79.29 | | CPD+SVM(FullBand) | 46.43 | 83.57 | 83.57 | 83.57 | 83.57 | 46.43 | 46.43 | 83.57 | 83.57 | 46.43 | | CSP+SVM(FullBand) | - | - | - | - | - | - | - | - | - | - | | ProposedMethod(8∼21Hz) | 80.71 | 81.43 | 80.00 | 82.14 | 81.43 | 81.43 | 81.43 | 79.29 | 80.00 | 79.29 | | CPD+SVM(8∼21Hz) | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 |
| Conditions | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ProposedMethod(AllChannels) | 39.73 | 39.73 | 41.10 | 39.73 | 39.73 | 39.73 | 36.99 | 39.73 | 39.73 | 36.99 | | CPD+SVM(AllChannels) | 28.77 | 32.88 | 30.14 | 28.77 | 27.40 | 21.92 | 30.14 | 24.66 | 27.40 | 32.88 | | CSP+SVM(AllChannels) | - | - | - | - | - | - | - | - | - | - | | ProposedMethod(OptimalChannels) | 42.47 | 41.10 | 42.47 | 42.47 | 42.47 | 42.47 | 42.47 | 42.47 | 41.10 | 42.47 | | CPD+SVM(OptimalChannels) | 32.88 | 30.14 | 30.14 | 30.14 | 32.88 | 31.51 | 28.77 | 31.51 | 30.14 | 27.40 | | CSP+SVM(OptimalChannels) | - | - | - | - | - | - | - | - | - | - |
0
| Conditions | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ProposedMethod(FullBand) | 82.14 | 80.71 | 79.29 | 82.14 | 80.71 | 82.14 | 82.14 | 81.43 | 80.00 | 79.29 | | CPD+SVM(FullBand) | 46.43 | 83.57 | 83.57 | 83.57 | 83.57 | 46.43 | 46.43 | 83.57 | 83.57 | 46.43 | | CSP+SVM(FullBand) | - | - | - | - | - | - | - | - | - | - |
| ProposedMethod(8∼21Hz) | 80.71 | 81.43 | 80.00 | 82.14 | 81.43 | 81.43 | 81.43 | 79.29 | 80.00 | 79.29 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | CPD+SVM(8∼21Hz) | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | | CSP+SVM(8∼21Hz) | - | - | - | - | - | - | - | - | - | - | | ProposedMethod(1∼7Hz) | 66.43 | 65.00 | 62.14 | 65.00 | 64.29 | 66.43 | 66.43 | 66.43 | 65.71 | 65.71 | | CPD+SVM(1∼7Hz) | 50.00 | 50.71 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 | 50.71 | 50.00 | 50.00 | | CSP+SVM(1∼7Hz) | - | - | - | - | - | - | - | - | - | - | | ProposedMethod(22∼30Hz) | 70.71 | 71.43 | 71.43 | 68.57 | 71.43 | 68.57 | 70.00 | 68.57 | 69.29 | 70.71 | | CPD+SVM(22∼30Hz) | 56.43 | 50.00 | 50.00 | 56.43 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 | | CSP+SVM(22∼30Hz) | - | - | - | - | - | - | - | - | - | - |
1
| Conditions | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ProposedMethod(FullBand) | 82.14 | 80.71 | 79.29 | 82.14 | 80.71 | 82.14 | 82.14 | 81.43 | 80.00 | 79.29 | | CPD+SVM(FullBand) | 46.43 | 83.57 | 83.57 | 83.57 | 83.57 | 46.43 | 46.43 | 83.57 | 83.57 | 46.43 | | CSP+SVM(FullBand) | - | - | - | - | - | - | - | - | - | - |
| CSP+SVM(AllChannels) | - | - | - | - | - | - | - | - | - | - | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ProposedMethod(OptimalChannels) | 42.47 | 41.10 | 42.47 | 42.47 | 42.47 | 42.47 | 42.47 | 42.47 | 41.10 | 42.47 | | CPD+SVM(OptimalChannels) | 32.88 | 30.14 | 30.14 | 30.14 | 32.88 | 31.51 | 28.77 | 31.51 | 30.14 | 27.40 | | CSP+SVM(OptimalChannels) | - | - | - | - | - | - | - | - | - | - |
0
| Number | | --- | | 143 | | 581 | | 206 |
| 121 | | --- | | 80 | | 70 | | 145 |
1
| Number | | --- | | 143 | | 581 | | 206 |
| 12626 | 84 | | --- | --- | | 8799 | 122 | | 12488 | 87 | | 8799 | 94 | | 12488 | 150 | | 12625 | 44 | | 12626 | 110 |
0
| Number | | --- | | 143 |
| 581 | | --- | | 206 | | 121 | | 80 | | 70 | | 145 |
1
| Number | | --- | | 143 |
| 8799 | 94 | | --- | --- | | 12488 | 150 | | 12625 | 44 | | 12626 | 110 |
0
| Level | Symbol | Meaning | Description | | --- | --- | --- | --- | | 1 | ni | noinformation | Defaultandmostgeneralexceptionalvalue | | 2 | inv | invalid | Valuenotpermittedinconstraineddomain | | 3 | oth | other | Actualvaluenotpermittedinconstraineddomain | | 4 | ninf | negativeinfinity | Negativeinfinityonnumbers | | 4 | pinf | positiveinfinity | Positiveinfinityonnumbers |
| 3 | unc | unencoded | Informationnotencoded(yet) | | --- | --- | --- | --- | | 3 | der | derived | Actualvaluemustbederived | | 2 | unk | unknown | Propervalueisapplicablebutnotknown | | 3 | asku | askedbutunknown | Informationsoughtbutnotfound | | 4 | nav | temporarilyunavailable | Expectedtobeavailablelater | | 3 | qs | sufficientquantity | Quantitynotknownbutnon-zero | | 3 | nask | notasked | Informationnotsought | | 3 | trc | trace | Greaterthanzerobuttoosmallforquantification | | 2 | msk | masked | Informationavailablebutnotprovided | | 2 | na | notapplicable | Novalueapplicableincontext |
1
| Level | Symbol | Meaning | Description | | --- | --- | --- | --- | | 1 | ni | noinformation | Defaultandmostgeneralexceptionalvalue | | 2 | inv | invalid | Valuenotpermittedinconstraineddomain | | 3 | oth | other | Actualvaluenotpermittedinconstraineddomain | | 4 | ninf | negativeinfinity | Negativeinfinityonnumbers | | 4 | pinf | positiveinfinity | Positiveinfinityonnumbers |
| Symbol | Meaning | | --- | --- | | n | Numberofpatterns | | p | Numberofinputs(features)inapattern | | m | Numberofcolumns | | q | Numberofproximalsynapsespercolumn | | φ+ | Permanenceincrementamount | | φ− | Permanencedecrementamount | | φσ | Windowofpermanenceinitialization | | ρs | Proximalsynapseactivationtreshold | | ρd | Proximaldendritesegmentactivationtreshold | | ρc | Desiredcolumnactivitylevel | | sduty | Minimumactivitylevelscalingfactor | | sboost | Permanenceboostingscalingfactor | | β0 | Maximumboost | | τ | Dutycycleperiod |
0
| Level | Symbol | Meaning | Description | | --- | --- | --- | --- | | 1 | ni | noinformation | Defaultandmostgeneralexceptionalvalue | | 2 | inv | invalid | Valuenotpermittedinconstraineddomain | | 3 | oth | other | Actualvaluenotpermittedinconstraineddomain | | 4 | ninf | negativeinfinity | Negativeinfinityonnumbers | | 4 | pinf | positiveinfinity | Positiveinfinityonnumbers | | 3 | unc | unencoded | Informationnotencoded(yet) | | 3 | der | derived | Actualvaluemustbederived |
| 2 | unk | unknown | Propervalueisapplicablebutnotknown | | --- | --- | --- | --- | | 3 | asku | askedbutunknown | Informationsoughtbutnotfound | | 4 | nav | temporarilyunavailable | Expectedtobeavailablelater | | 3 | qs | sufficientquantity | Quantitynotknownbutnon-zero | | 3 | nask | notasked | Informationnotsought | | 3 | trc | trace | Greaterthanzerobuttoosmallforquantification | | 2 | msk | masked | Informationavailablebutnotprovided | | 2 | na | notapplicable | Novalueapplicableincontext |
1
| Level | Symbol | Meaning | Description | | --- | --- | --- | --- | | 1 | ni | noinformation | Defaultandmostgeneralexceptionalvalue | | 2 | inv | invalid | Valuenotpermittedinconstraineddomain | | 3 | oth | other | Actualvaluenotpermittedinconstraineddomain | | 4 | ninf | negativeinfinity | Negativeinfinityonnumbers | | 4 | pinf | positiveinfinity | Positiveinfinityonnumbers | | 3 | unc | unencoded | Informationnotencoded(yet) | | 3 | der | derived | Actualvaluemustbederived |
| sboost | Permanenceboostingscalingfactor | | --- | --- | | β0 | Maximumboost | | τ | Dutycycleperiod |
0
| Featurename | | --- | | beforepreviousword | | beforepreviouswordPOStag |
| previousword | | --- | | previouswordPOStag | | nextword | | nextwordPOStag | | nextwordpregloss | | afternextword | | afternextPOStag |
1
| Featurename | | --- | | beforepreviousword | | beforepreviouswordPOStag |
| Featurename | | --- | | Likelihoodmodelprobability | | unigramprobability | | previousbigramprobability | | nextbigramprobability | | trigramprobability | | languagemodelproduct | | collocationleft | | collocationright | | collocationmid | | collocationproduct | | cooccurrencedistance1 | | cooccurrencedistance2 | | cooccurrencedistance3 | | previousgender | | previousnumber | | nextgender | | nextnumber |
0
| Featurename | | --- | | beforepreviousword |
| beforepreviouswordPOStag | | --- | | previousword | | previouswordPOStag | | nextword | | nextwordPOStag | | nextwordpregloss | | afternextword | | afternextPOStag |
1
| Featurename | | --- | | beforepreviousword |
| cooccurrencedistance1 | | --- | | cooccurrencedistance2 | | cooccurrencedistance3 | | previousgender | | previousnumber | | nextgender | | nextnumber |
0
| Method | MAE | MSE | | --- | --- | --- | | SquareChnDetector | 20.55 | 439.1 | | R-FCN | 6.02 | 5.46 | | FasterR-CNN | 5.91 | 6.60 |
| CountForest | 4.40 | 2.40 | | --- | --- | --- | | ExemplaryDensity | 1.82 | 2.74 | | BoostingCNN | 2.01 | N/A | | MoCNN | 2.75 | 13.40 | | WeightedVLAD | 2.41 | 9.12 | | DecideNet | 1.52 | 1.90 |
1
| Method | MAE | MSE | | --- | --- | --- | | SquareChnDetector | 20.55 | 439.1 | | R-FCN | 6.02 | 5.46 | | FasterR-CNN | 5.91 | 6.60 |
| Method | Np | MAE | RMSE | | --- | --- | --- | --- | | YOLO | - | 102.89 | 110.02 | | FasterR-CNN | 200 | 103.48 | 110.64 | | *YOLO | - | 48.89 | 57.55 | | *FasterR-CNN | 200 | 47.45 | 57.39 | | *FasterR-CNN(RPN-small) | 200 | 24.32 | 37.62 | | †One-LookRegression | - | 59.46 | 66.84 | | OurCarCountingCNNModel | 200 | 23.80 | 36.79 |
0
| Method | MAE | MSE | | --- | --- | --- | | SquareChnDetector | 20.55 | 439.1 | | R-FCN | 6.02 | 5.46 |
| FasterR-CNN | 5.91 | 6.60 | | --- | --- | --- | | CountForest | 4.40 | 2.40 | | ExemplaryDensity | 1.82 | 2.74 | | BoostingCNN | 2.01 | N/A | | MoCNN | 2.75 | 13.40 | | WeightedVLAD | 2.41 | 9.12 | | DecideNet | 1.52 | 1.90 |
1
| Method | MAE | MSE | | --- | --- | --- | | SquareChnDetector | 20.55 | 439.1 | | R-FCN | 6.02 | 5.46 |
| FasterR-CNN | 200 | 103.48 | 110.64 | | --- | --- | --- | --- | | *YOLO | - | 48.89 | 57.55 | | *FasterR-CNN | 200 | 47.45 | 57.39 | | *FasterR-CNN(RPN-small) | 200 | 24.32 | 37.62 | | †One-LookRegression | - | 59.46 | 66.84 | | OurCarCountingCNNModel | 200 | 23.80 | 36.79 |
0
| Network | Mean | stddev | Solved | Good | Mediocre | Bad | | --- | --- | --- | --- | --- | --- | --- | | 1 | 376.16 | 151.95 | 0 | 1 | 113 | 886 | | 2 | 362.7 | 139.69 | 0 | 0 | 108 | 892 | | A | 515.97 | 288.8 | 1 | 64 | 328 | 607 |
| B | 466.2 | 265.2 | 1 | 48 | 242 | 709 | | --- | --- | --- | --- | --- | --- | --- | | C | 563.3 | 329.8 | 3 | 74 | 360 | 563 |
1
| Network | Mean | stddev | Solved | Good | Mediocre | Bad | | --- | --- | --- | --- | --- | --- | --- | | 1 | 376.16 | 151.95 | 0 | 1 | 113 | 886 | | 2 | 362.7 | 139.69 | 0 | 0 | 108 | 892 | | A | 515.97 | 288.8 | 1 | 64 | 328 | 607 |
| R | Optimalvalue | iter | CPU | | --- | --- | --- | --- | | 0.00001 | 0.000305 | 12 | 10.953 | | 0.00002 | 0.000305 | 13 | 10.656 | | 0.00003 | 0.000305 | 12 | 10.516 | | 0.00004 | 0.000305 | 12 | 11.703 | | 0.00005 | 0.000305 | 13 | 11.610 | | 0.00006 | 0.000305 | 13 | 11.547 | | 0.00007 | 0.000305 | 13 | 11.672 | | 0.00008 | 0.000305 | 13 | 11.813 | | 0.00009 | 0.000305 | 13 | 11.813 | | 0.0001 | 0.000305 | 13 | 11.890 | | 0.0002 | 0.000305 | 14 | 13.110 | | 0.0003 | 0.000306 | 14 | 13.110 | | 0.0004 | 0.000308 | 16 | 15.407 | | 0.0005 | 0.000310 | 24 | 22.844 | | 0.0006 | 0.000312 | 15 | 14.250 | | 0.0007 | 0.000315 | 15 | 14.328 | | 0.0008 | 0.000319 | 32 | 30.563 | | 0.0009 | 0.000322 | 32 | 30.563 | | 0.001 | 0.000326 | 30 | 29.265 | | 0.002 | 0.000390 | 12 | 12.140 | | 0.003 | 0.000517 | 11 | 11.657 |
0
| Network | Mean | stddev | Solved | Good | Mediocre | Bad | | --- | --- | --- | --- | --- | --- | --- | | 1 | 376.16 | 151.95 | 0 | 1 | 113 | 886 |
| 2 | 362.7 | 139.69 | 0 | 0 | 108 | 892 | | --- | --- | --- | --- | --- | --- | --- | | A | 515.97 | 288.8 | 1 | 64 | 328 | 607 | | B | 466.2 | 265.2 | 1 | 48 | 242 | 709 | | C | 563.3 | 329.8 | 3 | 74 | 360 | 563 |
1
| Network | Mean | stddev | Solved | Good | Mediocre | Bad | | --- | --- | --- | --- | --- | --- | --- | | 1 | 376.16 | 151.95 | 0 | 1 | 113 | 886 |
| 0.0002 | 0.000305 | 14 | 13.110 | | --- | --- | --- | --- | | 0.0003 | 0.000306 | 14 | 13.110 | | 0.0004 | 0.000308 | 16 | 15.407 | | 0.0005 | 0.000310 | 24 | 22.844 | | 0.0006 | 0.000312 | 15 | 14.250 | | 0.0007 | 0.000315 | 15 | 14.328 | | 0.0008 | 0.000319 | 32 | 30.563 | | 0.0009 | 0.000322 | 32 | 30.563 | | 0.001 | 0.000326 | 30 | 29.265 | | 0.002 | 0.000390 | 12 | 12.140 | | 0.003 | 0.000517 | 11 | 11.657 |
0