premise string | hypothesis string | label int64 |
|---|---|---|
| Model | CumulativeAbsoluteError<br>(cid:60)(V−V)(cid:61)(V−V)pqnmnmnn(cid:101)(cid:101)(cid:101)(cid:101) | | | |
| --- | --- | --- | --- | --- |
| ieee57 | | | | |
| LDC | 1.343 | 0.6803 | 27.9 | 529.1 |
| LPAC-A-GC | 0.4158 | 0.5489 | 27.9 | 264 |
| LPAC-A-G | 0.3238 | 0.5311 | 27.9 | 264.1 |
| LPAC-A-C | 0.3773 | 0.4153 | 24.43 | 113.8 |
| LPAC | 0.3647 | 0.3854 | 4.736 | 26.35 |
| ieee118 | | | | |
| LDC | 3.083 | 1.239 | 132.7 | 2152 |
| LPAC-A-GC | 0.7298 | 0.9944 | 132.7 | 1364 |
| LPAC-A-G | 0.6502 | 0.9929 | 132.7 | 1194 |
| LPAC-A-C | 0.4417 | 0.8553 | 104.3 | 750 |
| LPAC | 0.2625 | 0.5252 | 0.7279 | 142.1 |
| ieeedd17 | | | | | | | LDC | 4.144 | 3.263 | 201.3 | 3857 |
| --- | --- | --- | --- | --- |
| LPAC-A-GC | 5.783 | 4.881 | 201.3 | 2719 |
| LPAC-A-G | 4.169 | 3.242 | 201.3 | 616.4 |
| LPAC-A-C | 4.162 | 3.48 | 200.5 | 2660 |
| LPAC | 1.135 | 1.019 | 30.38 | 362.1 |
| ieeedd17m | | | | |
| LDC | 3.798 | 1.972 | 191.1 | 3353 |
| LPAC-A-GC | 5.152 | 3.219 | 191.1 | 2210 |
| LPAC-A-G | 3.302 | 2.111 | 191.1 | 389.4 |
| LPAC-A-C | 3.31 | 2.118 | 190.4 | 2146 |
| LPAC | 0.49 | 0.6324 | 20.21 | 223.7 |
| mp300 | | | | |
| LDC | 13.76 | 4.689 | 418.5 | 14240 |
| LPAC-A-GC | 11.2 | 5.324 | 418.5 | 5595 |
| LPAC-A-G | 9.831 | 5.171 | 418.5 | 1648 |
| LPAC-A-C | 7.855 | 4.403 | 348.5 | 5434 |
| LPAC | 0.8699 | 1.378 | 9.703 | 976.4 | | 1 |
| Model | CumulativeAbsoluteError<br>(cid:60)(V−V)(cid:61)(V−V)pqnmnmnn(cid:101)(cid:101)(cid:101)(cid:101) | | | |
| --- | --- | --- | --- | --- |
| ieee57 | | | | |
| LDC | 1.343 | 0.6803 | 27.9 | 529.1 |
| LPAC-A-GC | 0.4158 | 0.5489 | 27.9 | 264 |
| LPAC-A-G | 0.3238 | 0.5311 | 27.9 | 264.1 |
| LPAC-A-C | 0.3773 | 0.4153 | 24.43 | 113.8 |
| LPAC | 0.3647 | 0.3854 | 4.736 | 26.35 |
| ieee118 | | | | |
| LDC | 3.083 | 1.239 | 132.7 | 2152 |
| LPAC-A-GC | 0.7298 | 0.9944 | 132.7 | 1364 |
| LPAC-A-G | 0.6502 | 0.9929 | 132.7 | 1194 |
| LPAC-A-C | 0.4417 | 0.8553 | 104.3 | 750 |
| LPAC | 0.2625 | 0.5252 | 0.7279 | 142.1 |
| ieeedd17 | | | | | | | Noise | SSC | LRR | SCGSM | GLRR-21 | GLRR-F<br>/KGLRR-proj | KGLRR-cc |
| --- | --- | --- | --- | --- | --- | --- |
| 0.05 | 0.7838 | 0.8667 | 0.8646 | 1 | 1 | 1 |
| 0.1 | 0.7596 | 0.8889 | 0.7091 | 1 | 1 | 1 |
| 0.15 | 0.7475 | 0.9939 | 0.8667 | 1 | 1 | 1 |
| 0.2 | 0.6202 | 0.9960 | 0.7374 | 1 | 1 | 1 |
| 0.25 | 0.3374 | 0.9960 | 0.7293 | 1 | 1 | 1 |
| 0.3 | 0.2020 | 0.8909 | 0.6828 | 1 | 1 | 1 |
| 0.35 | 0.1556 | 0.8263 | 0.2646 | 0.8889 | 0.996 | 0.8566 | | 0 |
| Model | CumulativeAbsoluteError<br>(cid:60)(V−V)(cid:61)(V−V)pqnmnmnn(cid:101)(cid:101)(cid:101)(cid:101) | | | |
| --- | --- | --- | --- | --- |
| ieee57 | | | | |
| LDC | 1.343 | 0.6803 | 27.9 | 529.1 |
| LPAC-A-GC | 0.4158 | 0.5489 | 27.9 | 264 |
| LPAC-A-G | 0.3238 | 0.5311 | 27.9 | 264.1 |
| LPAC-A-C | 0.3773 | 0.4153 | 24.43 | 113.8 |
| LPAC | 0.3647 | 0.3854 | 4.736 | 26.35 |
| ieee118 | | | | | | | LDC | 3.083 | 1.239 | 132.7 | 2152 |
| --- | --- | --- | --- | --- |
| LPAC-A-GC | 0.7298 | 0.9944 | 132.7 | 1364 |
| LPAC-A-G | 0.6502 | 0.9929 | 132.7 | 1194 |
| LPAC-A-C | 0.4417 | 0.8553 | 104.3 | 750 |
| LPAC | 0.2625 | 0.5252 | 0.7279 | 142.1 |
| ieeedd17 | | | | |
| LDC | 4.144 | 3.263 | 201.3 | 3857 |
| LPAC-A-GC | 5.783 | 4.881 | 201.3 | 2719 |
| LPAC-A-G | 4.169 | 3.242 | 201.3 | 616.4 |
| LPAC-A-C | 4.162 | 3.48 | 200.5 | 2660 |
| LPAC | 1.135 | 1.019 | 30.38 | 362.1 |
| ieeedd17m | | | | |
| LDC | 3.798 | 1.972 | 191.1 | 3353 |
| LPAC-A-GC | 5.152 | 3.219 | 191.1 | 2210 |
| LPAC-A-G | 3.302 | 2.111 | 191.1 | 389.4 |
| LPAC-A-C | 3.31 | 2.118 | 190.4 | 2146 |
| LPAC | 0.49 | 0.6324 | 20.21 | 223.7 |
| mp300 | | | | |
| LDC | 13.76 | 4.689 | 418.5 | 14240 |
| LPAC-A-GC | 11.2 | 5.324 | 418.5 | 5595 |
| LPAC-A-G | 9.831 | 5.171 | 418.5 | 1648 |
| LPAC-A-C | 7.855 | 4.403 | 348.5 | 5434 |
| LPAC | 0.8699 | 1.378 | 9.703 | 976.4 | | 1 |
| Model | CumulativeAbsoluteError<br>(cid:60)(V−V)(cid:61)(V−V)pqnmnmnn(cid:101)(cid:101)(cid:101)(cid:101) | | | |
| --- | --- | --- | --- | --- |
| ieee57 | | | | |
| LDC | 1.343 | 0.6803 | 27.9 | 529.1 |
| LPAC-A-GC | 0.4158 | 0.5489 | 27.9 | 264 |
| LPAC-A-G | 0.3238 | 0.5311 | 27.9 | 264.1 |
| LPAC-A-C | 0.3773 | 0.4153 | 24.43 | 113.8 |
| LPAC | 0.3647 | 0.3854 | 4.736 | 26.35 |
| ieee118 | | | | | | | 0.25 | 0.3374 | 0.9960 | 0.7293 | 1 | 1 | 1 |
| --- | --- | --- | --- | --- | --- | --- |
| 0.3 | 0.2020 | 0.8909 | 0.6828 | 1 | 1 | 1 |
| 0.35 | 0.1556 | 0.8263 | 0.2646 | 0.8889 | 0.996 | 0.8566 | | 0 |
| L# | Type | K.Size | InputSize | OutputSize |
| --- | --- | --- | --- | --- |
| 1 | C,B,R | 64 | 256×256×4 | 128×128×64 | | | 2 | C,B,R | 128 | 128×128×64 | 64×64×128 |
| --- | --- | --- | --- | --- |
| 3 | C,B,R | 256 | 64×64×128 | 32×32×256 |
| 4 | C,B,R | 512 | 32×32×256 | 16×16×512 |
| 5 | C,B,R | 512 | 16×16×512 | 8×8×512 |
| 6 | C,B,R | 512 | 8×8×512 | 4×4×512 |
| 7 | C | 512 | 4×4×512 | 2048×1 | | 1 |
| L# | Type | K.Size | InputSize | OutputSize |
| --- | --- | --- | --- | --- |
| 1 | C,B,R | 64 | 256×256×4 | 128×128×64 | | | #L | T | S | #K | InputSize | OutputSize | #L | T | S | #K | InputSize |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | C | 1 | 64 | 256×256×1 | 256×256×64 | 10 | C | 1 | 512 | 16×16×512 |
| 2 | C | 2 | 128 | 256×256×64 | 128×128×128 | 11 | D | 2 | 512 | 16×16×512 |
| 3 | C | 1 | 128 | 128×128×128 | 128×128×128 | 12 | C | 1 | 512 | 32×32×1024 |
| 4 | C | 2 | 256 | 128×128×128 | 64×64×256 | 13 | D | 2 | 256 | 32×32×512 |
| 5 | C | 1 | 256 | 64×64×256 | 64×64×256 | 14 | C | 1 | 256 | 64×64×512 |
| 6 | C | 2 | 512 | 64×64×256 | 32×32×512 | 15 | D | 2 | 128 | 64×64×256 |
| 7 | C | 1 | 512 | 32×32×512 | 32×32×512 | 16 | C | 1 | 128 | 128×128×256 |
| 8 | C | 2 | 512 | 32×32×512 | 16×16×512 | 17 | D | 2 | 64 | 128×128×128 |
| 9 | C | 1 | 512 | 16×16×512 | 16×16×512 | 18 | C | 1 | 4 | 256×256×128 | | 0 |
| L# | Type | K.Size | InputSize | OutputSize |
| --- | --- | --- | --- | --- |
| 1 | C,B,R | 64 | 256×256×4 | 128×128×64 |
| 2 | C,B,R | 128 | 128×128×64 | 64×64×128 |
| 3 | C,B,R | 256 | 64×64×128 | 32×32×256 | | | 4 | C,B,R | 512 | 32×32×256 | 16×16×512 |
| --- | --- | --- | --- | --- |
| 5 | C,B,R | 512 | 16×16×512 | 8×8×512 |
| 6 | C,B,R | 512 | 8×8×512 | 4×4×512 |
| 7 | C | 512 | 4×4×512 | 2048×1 | | 1 |
| L# | Type | K.Size | InputSize | OutputSize |
| --- | --- | --- | --- | --- |
| 1 | C,B,R | 64 | 256×256×4 | 128×128×64 |
| 2 | C,B,R | 128 | 128×128×64 | 64×64×128 |
| 3 | C,B,R | 256 | 64×64×128 | 32×32×256 | | | 6 | C | 2 | 512 | 64×64×256 | 32×32×512 | 15 | D | 2 | 128 | 64×64×256 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 7 | C | 1 | 512 | 32×32×512 | 32×32×512 | 16 | C | 1 | 128 | 128×128×256 |
| 8 | C | 2 | 512 | 32×32×512 | 16×16×512 | 17 | D | 2 | 64 | 128×128×128 |
| 9 | C | 1 | 512 | 16×16×512 | 16×16×512 | 18 | C | 1 | 4 | 256×256×128 | | 0 |
| 247.18 |
| --- |
| 254.23 |
| 248.07<br>247.52<br>247.47<br>248.40<br>247.89<br>247.56 | | | 249.13<br>248.26<br>247.97 |
| --- |
| 248.93<br>248.31<br>248.02 |
| 251.61<br>250.53<br>249.97 | | 1 |
| 247.18 |
| --- |
| 254.23 |
| 248.07<br>247.52<br>247.47<br>248.40<br>247.89<br>247.56 | | | 97.88 | 97.85 |
| --- | --- |
| 97.59 | 97.13 |
| 94.51<br>92.60 | 94.46<br>92.57 |
| 0.236 | 0.239 |
| 84.6 | 84.2 | | 0 |
| 247.18 |
| --- |
| 254.23 |
| 248.07<br>247.52<br>247.47<br>248.40<br>247.89<br>247.56 |
| 249.13<br>248.26<br>247.97 | | | 248.93<br>248.31<br>248.02 |
| --- |
| 251.61<br>250.53<br>249.97 | | 1 |
| 247.18 |
| --- |
| 254.23 |
| 248.07<br>247.52<br>247.47<br>248.40<br>247.89<br>247.56 |
| 249.13<br>248.26<br>247.97 | | | 0.236 | 0.239 |
| --- | --- |
| 84.6 | 84.2 | | 0 |
| Region | α |
| --- | --- |
| California | 3.48 | | | LosAngeles | 2.29 |
| --- | --- |
| UK | 2.54 |
| London | 2.01 | | 1 |
| Region | α |
| --- | --- |
| California | 3.48 | | | Region | Numberofmentions | Numberofusers(senders) |
| --- | --- | --- |
| California | 2,349,901 | 217,439 |
| LosAngeles | 918,360 | 51,625 |
| UK | 3,721,716 | 612,368 |
| London | 614,045 | 58,046 | | 0 |
| Region | α |
| --- | --- |
| California | 3.48 | | | LosAngeles | 2.29 |
| --- | --- |
| UK | 2.54 |
| London | 2.01 | | 1 |
| Region | α |
| --- | --- |
| California | 3.48 | | | LosAngeles | 918,360 | 51,625 |
| --- | --- | --- |
| UK | 3,721,716 | 612,368 |
| London | 614,045 | 58,046 | | 0 |
| Event | InitialHashtags | TopCo-occurringHashtags |
| --- | --- | --- |
| H1N1<br>Outbreak | ‘h1n1’<br>=61,351 | ‘swine’=61,829‘swineflu’=56,419‘flu’=8,436<br>‘pandemic’=6,839‘influenza’=1,725‘grippe’=1,559‘tamiflu’=331 | | | M.Jackson’s<br>Death | ‘michaeljackson’<br>=22,934 | ‘michael’=27,075‘mj’=18,584‘thisisit’8,770‘rip’=3,559‘jacko’=3,325<br>‘kingofpop’=2,888‘jackson’=2,559‘thriller’=1,357‘thankyoumichael’=1,050 |
| --- | --- | --- |
| Iranian<br>Elections | ‘iranelection’<br>=911,808 | ‘iran’949,641‘gr88’=197,113‘tehran’=109,006‘freeiran’=13,378<br>‘neda’=191,067‘mousavi’=16,587‘united4iran’=9,198‘iranrevolution’=7,295 |
| Obama’s<br>NobelPrize | ‘obama’=48,161&<br>‘peace‘=3,721 | ‘nobel’=2,261‘obamanobel’=14‘nobelprize’‘nobelpeace’=113<br>‘barack’=1292‘nobelpeaceprize’=107 | | 1 |
| Event | InitialHashtags | TopCo-occurringHashtags |
| --- | --- | --- |
| H1N1<br>Outbreak | ‘h1n1’<br>=61,351 | ‘swine’=61,829‘swineflu’=56,419‘flu’=8,436<br>‘pandemic’=6,839‘influenza’=1,725‘grippe’=1,559‘tamiflu’=331 | | | Movie | ReleaseDate |
| --- | --- |
| Armored | 2009-12-04 |
| Avatar | 2009-12-18 |
| TheBlindSide | 2009-11-20 |
| TheBookofEli | 2010-01-15 |
| Daybreakers | 2010-01-08 |
| DearJohn | 2010-02-05 |
| DidYouHearAboutTheMorgans | 2009-12-18 |
| EdgeOfDarkness | 2010-01-29 |
| ExtraordinaryMeasures | 2010-01-22 |
| FromParisWithLove | 2010-02-05 |
| TheImaginariumofDrParnassus | 2010-01-08 |
| Invictus | 2009-12-11 |
| LeapYear | 2010-01-08 |
| Legion | 2010-01-22 |
| Twilight:NewMoon | 2009-11-20 |
| PirateRadio | 2009-11-13 |
| PrincessAndTheFrog | 2009-12-11 |
| SherlockHolmes | 2009-12-25 |
| SpyNextDoor | 2010-01-15 |
| TheCrazies | 2010-02-26 |
| ToothFairy | 2010-01-22 |
| Transylmania | 2009-12-04 |
| WhenInRome | 2010-01-29 |
| YouthInRevolt | 2010-01-08 | | 0 |
| Event | InitialHashtags | TopCo-occurringHashtags |
| --- | --- | --- |
| H1N1<br>Outbreak | ‘h1n1’<br>=61,351 | ‘swine’=61,829‘swineflu’=56,419‘flu’=8,436<br>‘pandemic’=6,839‘influenza’=1,725‘grippe’=1,559‘tamiflu’=331 | | | M.Jackson’s<br>Death | ‘michaeljackson’<br>=22,934 | ‘michael’=27,075‘mj’=18,584‘thisisit’8,770‘rip’=3,559‘jacko’=3,325<br>‘kingofpop’=2,888‘jackson’=2,559‘thriller’=1,357‘thankyoumichael’=1,050 |
| --- | --- | --- |
| Iranian<br>Elections | ‘iranelection’<br>=911,808 | ‘iran’949,641‘gr88’=197,113‘tehran’=109,006‘freeiran’=13,378<br>‘neda’=191,067‘mousavi’=16,587‘united4iran’=9,198‘iranrevolution’=7,295 |
| Obama’s<br>NobelPrize | ‘obama’=48,161&<br>‘peace‘=3,721 | ‘nobel’=2,261‘obamanobel’=14‘nobelprize’‘nobelpeace’=113<br>‘barack’=1292‘nobelpeaceprize’=107 | | 1 |
| Event | InitialHashtags | TopCo-occurringHashtags |
| --- | --- | --- |
| H1N1<br>Outbreak | ‘h1n1’<br>=61,351 | ‘swine’=61,829‘swineflu’=56,419‘flu’=8,436<br>‘pandemic’=6,839‘influenza’=1,725‘grippe’=1,559‘tamiflu’=331 | | | ToothFairy | 2010-01-22 |
| --- | --- |
| Transylmania | 2009-12-04 |
| WhenInRome | 2010-01-29 |
| YouthInRevolt | 2010-01-08 | | 0 |
| CNN(AlexNet) | SVR | |
| --- | --- | --- |
| ValenceArousal | ValenceArousal | |
| RMSE | 0.3940.402 | 0.4940.400 | | | CORR | 0.6020.539 | 0.4290.360 |
| --- | --- | --- |
| SAGR | 0.7280.670 | 0.6190.748 |
| CCC | 0.5410.450 | 0.3400.199 | | 1 |
| CNN(AlexNet) | SVR | |
| --- | --- | --- |
| ValenceArousal | ValenceArousal | |
| RMSE | 0.3940.402 | 0.4940.400 | | | SameCategory | All | |
| --- | --- | --- |
| ValenceArousal | ValenceArousal | |
| RMSE | 0.1900.261 | 0.3400.362 |
| CORR | 0.9510.766 | 0.8230.567 |
| SAGR | 0.9060.709 | 0.8150.667 |
| CCC | 0.9510.746 | 0.8210.551 | | 0 |
| CNN(AlexNet) | SVR |
| --- | --- |
| ValenceArousal | ValenceArousal | | | RMSE | 0.3940.402 | 0.4940.400 |
| --- | --- | --- |
| CORR | 0.6020.539 | 0.4290.360 |
| SAGR | 0.7280.670 | 0.6190.748 |
| CCC | 0.5410.450 | 0.3400.199 | | 1 |
| CNN(AlexNet) | SVR |
| --- | --- |
| ValenceArousal | ValenceArousal | | | RMSE | 0.1900.261 | 0.3400.362 |
| --- | --- | --- |
| CORR | 0.9510.766 | 0.8230.567 |
| SAGR | 0.9060.709 | 0.8150.667 |
| CCC | 0.9510.746 | 0.8210.551 | | 0 |
| Notation |
| --- |
| C-Baseline-x | | | C-ATCA-x |
| --- |
| S-Baseline-x |
| S-Baseline-improved |
| S-ATCA | | 1 |
| Notation |
| --- |
| C-Baseline-x | | | | seen | unseen | overall |
| --- | --- | --- | --- |
| Ding’s | / | / | 82.4 |
| baseline | 87.9 | 87.6 | 87.8 |
| baseline+insertedfc6 | 91.6 | 91.0 | 91.4 |
| baseline+insertedfc6+duallossonfc6 | 90.2 | 86.6 | 89.4 |
| baseline+insertedfc6+duallossonfc7 | 98.5 | 97.2 | 98.2 |
| baseline+insertedfc6+centerloss | 97.4 | 92.7 | 96.3 | | 0 |
| Notation |
| --- |
| C-Baseline-x | | | C-ATCA-x |
| --- |
| S-Baseline-x |
| S-Baseline-improved |
| S-ATCA | | 1 |
| Notation |
| --- |
| C-Baseline-x | | | baseline+insertedfc6+duallossonfc7 | 98.5 | 97.2 | 98.2 |
| --- | --- | --- | --- |
| baseline+insertedfc6+centerloss | 97.4 | 92.7 | 96.3 | | 0 |
| Parameter | Single-Speaker | VCTK | LibriSpeech |
| --- | --- | --- | --- |
| FFTSize | 4096 | 4096 | 4096 |
| FFTWindowSize/Shift | 2400/600 | 2400/600 | 1600/400 |
| AudioSampleRate | 48000 | 48000 | 16000 |
| ReductionFactorr | 4 | 4 | 4 |
| MelBands | 80 | 80 | 80 |
| SharpeningFactor | 1.4 | 1.4 | 1.4 |
| CharacterEmbeddingDim. | 256 | 256 | 256 |
| EncoderLayers/Conv.Width/Channels | 7/5/64 | 7/5/128 | 7/5/256 |
| DecoderAffineSize | 128,256 | 128,256 | 128,256 |
| DecoderLayers/Conv.Width | 4/5 | 6/5 | 8/5 | | | AttentionHiddenSize | 128 | 256 | 256 |
| --- | --- | --- | --- |
| PositionWeight/InitialRate | 1.0/6.3 | 0.1/7.6 | 0.1/2.6 |
| ConverterLayers/Conv.Width/Channels | 5/5/256 | 6/5/256 | 8/5/256 |
| DropoutKeepProbability | 0.95 | 0.95 | 0.99 |
| NumberofSpeakers | 1 | 108 | 2484 |
| SpeakerEmbeddingDim. | - | 16 | 512 |
| ADAMLearningRate | 0.001 | 0.0005 | 0.0005 |
| AnnealRate/AnnealInterval | - | 0.98/30000 | 0.95/30000 |
| BatchSize | 16 | 16 | 16 |
| MaxGradientNorm | 100 | 100 | 50.0 |
| GradientClippingMax.Value | 5 | 5 | 5 | | 1 |
| Parameter | Single-Speaker | VCTK | LibriSpeech |
| --- | --- | --- | --- |
| FFTSize | 4096 | 4096 | 4096 |
| FFTWindowSize/Shift | 2400/600 | 2400/600 | 1600/400 |
| AudioSampleRate | 48000 | 48000 | 16000 |
| ReductionFactorr | 4 | 4 | 4 |
| MelBands | 80 | 80 | 80 |
| SharpeningFactor | 1.4 | 1.4 | 1.4 |
| CharacterEmbeddingDim. | 256 | 256 | 256 |
| EncoderLayers/Conv.Width/Channels | 7/5/64 | 7/5/128 | 7/5/256 |
| DecoderAffineSize | 128,256 | 128,256 | 128,256 |
| DecoderLayers/Conv.Width | 4/5 | 6/5 | 8/5 | | | Parameter | |
| --- | --- |
| Audioresamplingfreq. | 16KHz |
| BandsofMel-spectrogram | 80 |
| Hoplength | 400 |
| Convolutionlayers,channels,filter,strides | 1,64,20×5,8×2 |
| Recurrentlayersize | 128 |
| Fullyconnectedsize | 128 |
| Dropoutprobability | 0.9 |
| LearningRate | 10 |
| Maxgradientnorm | 100 |
| Gradientclippingmax.value | 5 | | 0 |
| Parameter | Single-Speaker | VCTK | LibriSpeech |
| --- | --- | --- | --- |
| FFTSize | 4096 | 4096 | 4096 |
| FFTWindowSize/Shift | 2400/600 | 2400/600 | 1600/400 |
| AudioSampleRate | 48000 | 48000 | 16000 |
| ReductionFactorr | 4 | 4 | 4 |
| MelBands | 80 | 80 | 80 |
| SharpeningFactor | 1.4 | 1.4 | 1.4 |
| CharacterEmbeddingDim. | 256 | 256 | 256 | | | EncoderLayers/Conv.Width/Channels | 7/5/64 | 7/5/128 | 7/5/256 |
| --- | --- | --- | --- |
| DecoderAffineSize | 128,256 | 128,256 | 128,256 |
| DecoderLayers/Conv.Width | 4/5 | 6/5 | 8/5 |
| AttentionHiddenSize | 128 | 256 | 256 |
| PositionWeight/InitialRate | 1.0/6.3 | 0.1/7.6 | 0.1/2.6 |
| ConverterLayers/Conv.Width/Channels | 5/5/256 | 6/5/256 | 8/5/256 |
| DropoutKeepProbability | 0.95 | 0.95 | 0.99 |
| NumberofSpeakers | 1 | 108 | 2484 |
| SpeakerEmbeddingDim. | - | 16 | 512 |
| ADAMLearningRate | 0.001 | 0.0005 | 0.0005 |
| AnnealRate/AnnealInterval | - | 0.98/30000 | 0.95/30000 |
| BatchSize | 16 | 16 | 16 |
| MaxGradientNorm | 100 | 100 | 50.0 |
| GradientClippingMax.Value | 5 | 5 | 5 | | 1 |
| Parameter | Single-Speaker | VCTK | LibriSpeech |
| --- | --- | --- | --- |
| FFTSize | 4096 | 4096 | 4096 |
| FFTWindowSize/Shift | 2400/600 | 2400/600 | 1600/400 |
| AudioSampleRate | 48000 | 48000 | 16000 |
| ReductionFactorr | 4 | 4 | 4 |
| MelBands | 80 | 80 | 80 |
| SharpeningFactor | 1.4 | 1.4 | 1.4 |
| CharacterEmbeddingDim. | 256 | 256 | 256 | | | Recurrentlayersize | 128 |
| --- | --- |
| Fullyconnectedsize | 128 |
| Dropoutprobability | 0.9 |
| LearningRate | 10 |
| Maxgradientnorm | 100 |
| Gradientclippingmax.value | 5 | | 0 |
| | selectivity | indegree | outdegree | closeness | betweenness |
| --- | --- | --- | --- | --- | --- |
| 1. | stupastih(cage) | i(and) | i(and) | i(and) | i(and) |
| 2. | populaciju(population) | u(in) | u(in) | se(self) | u(in) |
| 3. | izdanje(issue) | na(on) | je(is) | je(is) | je(is) |
| 4. | online(online) | je(is) | se(self) | su(are) | na(on) |
| 5. | webshop(webshop) | ili(or) | na(on) | a(but) | se(self) | | | 6. | matrica(matrix) | a(but) | ili(or) | ili(or) | ili(or) |
| --- | --- | --- | --- | --- | --- |
| 7. | pretplata(subscription) | se(self) | su(are) | to(it) | a(but) |
| 8. | ˇcasopis(journal) | za(for) | za(for) | bolesti(disease) | za(for) |
| 9. | oglasi(ads) | od(from) | od(from) | da(that) | su(are) |
| 10. | marketing(marketing) | su(are) | a(but) | biljke(plants) | od(from) | | 1 |
| | selectivity | indegree | outdegree | closeness | betweenness |
| --- | --- | --- | --- | --- | --- |
| 1. | stupastih(cage) | i(and) | i(and) | i(and) | i(and) |
| 2. | populaciju(population) | u(in) | u(in) | se(self) | u(in) |
| 3. | izdanje(issue) | na(on) | je(is) | je(is) | je(is) |
| 4. | online(online) | je(is) | se(self) | su(are) | na(on) |
| 5. | webshop(webshop) | ili(or) | na(on) | a(but) | se(self) | | | | selectivity | indegree | outdegree | closeness | betweenness |
| --- | --- | --- | --- | --- | --- |
| 1. | novine(newspaper) | i(and) | i(and) | i(and) | i(and) |
| 2. | temelju(basedon) | u(in) | u(in) | ili(or) | u(in) |
| 3. | manjinu(minority) | za(for) | je(is) | je(is) | za(for) |
| 4. | srpsku(Serbian) | na(on) | za(for) | se(self) | ili(or) |
| 5. | sladu(harmony) | ili(or) | se(self) | da(that) | na(on) |
| 6. | snagu(strength) | iz(from) | ili(or) | usluga(service) | je(is) |
| 7. | osiguranju(insurance) | te(and) | na(on) | zakona(law) | se(self) |
| 8. | narodnim(national) | je(is) | o(on) | a(but) | o(on) |
| 9. | novinama(newspaper) | se(self) | te(and) | skrbi(welfare) | te(and) |
| 10. | kriza(crisis) | s(with) | ˇclanak(article) | HRT-a(HRT-a) | iz(form) | | 0 |
| | selectivity | indegree | outdegree | closeness | betweenness |
| --- | --- | --- | --- | --- | --- |
| 1. | stupastih(cage) | i(and) | i(and) | i(and) | i(and) |
| 2. | populaciju(population) | u(in) | u(in) | se(self) | u(in) | | | 3. | izdanje(issue) | na(on) | je(is) | je(is) | je(is) |
| --- | --- | --- | --- | --- | --- |
| 4. | online(online) | je(is) | se(self) | su(are) | na(on) |
| 5. | webshop(webshop) | ili(or) | na(on) | a(but) | se(self) |
| 6. | matrica(matrix) | a(but) | ili(or) | ili(or) | ili(or) |
| 7. | pretplata(subscription) | se(self) | su(are) | to(it) | a(but) |
| 8. | ˇcasopis(journal) | za(for) | za(for) | bolesti(disease) | za(for) |
| 9. | oglasi(ads) | od(from) | od(from) | da(that) | su(are) |
| 10. | marketing(marketing) | su(are) | a(but) | biljke(plants) | od(from) | | 1 |
| | selectivity | indegree | outdegree | closeness | betweenness |
| --- | --- | --- | --- | --- | --- |
| 1. | stupastih(cage) | i(and) | i(and) | i(and) | i(and) |
| 2. | populaciju(population) | u(in) | u(in) | se(self) | u(in) | | | 9. | novinama(newspaper) | se(self) | te(and) | skrbi(welfare) | te(and) |
| --- | --- | --- | --- | --- | --- |
| 10. | kriza(crisis) | s(with) | ˇclanak(article) | HRT-a(HRT-a) | iz(form) | | 0 |
| weightw | multiplicityAw |
| --- | --- |
| (p−1)(p−(p−1)p)−1 | p−p | | | (p−1)(p−p)−1 | p−(p−1)p−1 |
| --- | --- |
| (p−1)p−(p−2)p−1 | (p−1)(p+p) |
| p−(p−1)p−1 | 1 | | 1 |
| weightw | multiplicityAw |
| --- | --- |
| (p−1)(p−(p−1)p)−1 | p−p | | | | m≡0(mod3) | m≡1(mod3) | m≡2(mod3) |
| --- | --- | --- | --- |
| 36(0,0) | p-17-20A | p-17-8A+6B | p-17-8A-6B |
| 36(0,1) | p-5+4A+18B | p-5+4A+12B | p-5+4A+6B |
| 36(0,2) | p-5+4A+6B | p-5+4A-6B | p-5-8A |
| 36(0,3) | p-5+4A | p-5+4A-6B | p-5+4A+6B |
| 36(0,4) | p-5+4A-6B | p-5-8A | p-5+4A+6B |
| 36(0,5) | p-5+4A-18B | p-5+4A-6B | p-5+4A-12B |
| 36(1,2) | p+1-2A | p+1-2A-6B | p+1-2A+6B |
| 36(1,3) | p+1-2A | p+1-2A-6B | p+1-2A-12B |
| 36(1,4) | p+1-2A | p+1-2A+12B | p+1-2A+6B |
| 36(2,4) | p+1-2A | p+1+10A+6B | p+1+10A-6B | | 0 |
| weightw | multiplicityAw |
| --- | --- |
| (p−1)(p−(p−1)p)−1 | p−p |
| (p−1)(p−p)−1 | p−(p−1)p−1 | | | (p−1)p−(p−2)p−1 | (p−1)(p+p) |
| --- | --- |
| p−(p−1)p−1 | 1 | | 1 |
| weightw | multiplicityAw |
| --- | --- |
| (p−1)(p−(p−1)p)−1 | p−p |
| (p−1)(p−p)−1 | p−(p−1)p−1 | | | 36(0,1) | p-5+4A+18B | p-5+4A+12B | p-5+4A+6B |
| --- | --- | --- | --- |
| 36(0,2) | p-5+4A+6B | p-5+4A-6B | p-5-8A |
| 36(0,3) | p-5+4A | p-5+4A-6B | p-5+4A+6B |
| 36(0,4) | p-5+4A-6B | p-5-8A | p-5+4A+6B |
| 36(0,5) | p-5+4A-18B | p-5+4A-6B | p-5+4A-12B |
| 36(1,2) | p+1-2A | p+1-2A-6B | p+1-2A+6B |
| 36(1,3) | p+1-2A | p+1-2A-6B | p+1-2A-12B |
| 36(1,4) | p+1-2A | p+1-2A+12B | p+1-2A+6B |
| 36(2,4) | p+1-2A | p+1+10A+6B | p+1+10A-6B | | 0 |
| | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | Baboon | 0.669 | 0.723 | 0.643 | 0.019 | 0.034 | 0.005 |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| | | | | | | |
| | | | | | | | | 1 |
| | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | | | |
| --- | --- | --- | --- |
| 0.575 | 0.496 | 0.450 | 0.421 |
| | | | |
| | | | |
| 0.583 | 0.550 | 0.536 | 0.510 |
| | | | |
| | | | | | 0 |
| | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| Baboon | 0.669 | 0.723 | 0.643 | 0.019 | 0.034 | 0.005 | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| | | | | | | | | 1 |
| | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| Baboon | 0.669 | 0.723 | 0.643 | 0.019 | 0.034 | 0.005 | | | | | | |
| --- | --- | --- | --- |
| | | | | | 0 |
| dim.(PCA) | No.Bags | Positive | Negative |
| --- | --- | --- | --- |
| 166(25) | 92 | 47 | 45 |
| 166(25) | 102 | 39 | 63 | | | 230(10) | 200 | 100 | 100 |
| --- | --- | --- | --- |
| 230(10) | 200 | 100 | 100 |
| 230(10) | 200 | 100 | 100 | | 1 |
| dim.(PCA) | No.Bags | Positive | Negative |
| --- | --- | --- | --- |
| 166(25) | 92 | 47 | 45 |
| 166(25) | 102 | 39 | 63 | | | R | PCA | FBsPCA | FFBsPCA |
| --- | --- | --- | --- |
| 30 | 8 | 7 | 51 |
| 60 | 214 | 50 | 87 |
| 90 | 1,636 | 168 | 148 |
| 120 | 1,640 | 413 | 234 |
| 150 | 1,808 | 757 | 371 |
| 180 | 1,988 | 1,437 | 657 |
| 210 | 2,106 | 2,274 | 695 |
| 240 | 2,188 | 3,827 | 892 | | 0 |
| dim.(PCA) | No.Bags | Positive | Negative |
| --- | --- | --- | --- |
| 166(25) | 92 | 47 | 45 | | | 166(25) | 102 | 39 | 63 |
| --- | --- | --- | --- |
| 230(10) | 200 | 100 | 100 |
| 230(10) | 200 | 100 | 100 |
| 230(10) | 200 | 100 | 100 | | 1 |
| dim.(PCA) | No.Bags | Positive | Negative |
| --- | --- | --- | --- |
| 166(25) | 92 | 47 | 45 | | | 60 | 214 | 50 | 87 |
| --- | --- | --- | --- |
| 90 | 1,636 | 168 | 148 |
| 120 | 1,640 | 413 | 234 |
| 150 | 1,808 | 757 | 371 |
| 180 | 1,988 | 1,437 | 657 |
| 210 | 2,106 | 2,274 | 695 |
| 240 | 2,188 | 3,827 | 892 | | 0 |
| Algorithm | 5000cases | 50cases | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| IAMB | 4.3±0.4830 | 1.2±0.4216 | 0 | 1±0 | 0 | 0 | | | MMMB | 5±0 | 3±0 | 0 | 4.9±0.3162 | 2.3±0.6749 | 3.5±1.7159 |
| --- | --- | --- | --- | --- | --- | --- |
| HITON-MB | 5±0 | 3±0 | 0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.6325 |
| mRMR(k=nMB) | 5±0 | 0 | 3±0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.4216 |
| CMIM(k=nMB) | 5±0 | 0 | 3±0 | 3.9±1.5239 | 0 | 3.1±1.1972 |
| JMI(k=nMB) | 5±0 | 1±0 | 2±0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.6325 | | 1 |
| Algorithm | 5000cases | 50cases | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| IAMB | 4.3±0.4830 | 1.2±0.4216 | 0 | 1±0 | 0 | 0 | | | Algorithm | 5000cases | 50cases | | |
| --- | --- | --- | --- | --- |
| | | | | |
| IAMB | 1±0 | 0.6875±0.0659 | 1±0 | 0.1250±0 |
| MMMB | 1±0 | 1±0 | 0.6885±0.1282 | 0.9000±0.0791 |
| HITON-MB | 1±0 | 1±0 | 0.6500±0.0791 | 0.6500±0.0791 |
| MRMR(k=nMB) | 0.6250±0 | 0.6250±0 | 0.6500±0.0527 | 0.6500±0.0527 |
| CMIM(k=nMB) | 0.6250±0 | 0.6250±0 | 0.4875±0.1905 | 0.4875±0.1905 |
| JMI(k=nMB) | 0.7500±0 | 0.7500±0 | 0.6500±0.0791 | 0.6500±0.0791 | | 0 |
| Algorithm | 5000cases | 50cases | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| IAMB | 4.3±0.4830 | 1.2±0.4216 | 0 | 1±0 | 0 | 0 |
| MMMB | 5±0 | 3±0 | 0 | 4.9±0.3162 | 2.3±0.6749 | 3.5±1.7159 |
| HITON-MB | 5±0 | 3±0 | 0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.6325 |
| mRMR(k=nMB) | 5±0 | 0 | 3±0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.4216 | | | CMIM(k=nMB) | 5±0 | 0 | 3±0 | 3.9±1.5239 | 0 | 3.1±1.1972 |
| --- | --- | --- | --- | --- | --- | --- |
| JMI(k=nMB) | 5±0 | 1±0 | 2±0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.6325 | | 1 |
| Algorithm | 5000cases | 50cases | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| IAMB | 4.3±0.4830 | 1.2±0.4216 | 0 | 1±0 | 0 | 0 |
| MMMB | 5±0 | 3±0 | 0 | 4.9±0.3162 | 2.3±0.6749 | 3.5±1.7159 |
| HITON-MB | 5±0 | 3±0 | 0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.6325 |
| mRMR(k=nMB) | 5±0 | 0 | 3±0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.4216 | | | MRMR(k=nMB) | 0.6250±0 | 0.6250±0 | 0.6500±0.0527 | 0.6500±0.0527 |
| --- | --- | --- | --- | --- |
| CMIM(k=nMB) | 0.6250±0 | 0.6250±0 | 0.4875±0.1905 | 0.4875±0.1905 |
| JMI(k=nMB) | 0.7500±0 | 0.7500±0 | 0.6500±0.0791 | 0.6500±0.0791 | | 0 |
| Schemes | Memory(MB) |
| --- | --- |
| Batch(K=10) | 618 |
| Batch(K=20) | 1197 | | | Batch(K=50) | 2902 |
| --- | --- |
| Online(256×256) | 1213 |
| Online-Samp.(64×64) | 133 | | 1 |
| Schemes | Memory(MB) |
| --- | --- |
| Batch(K=10) | 618 |
| Batch(K=20) | 1197 | | | Scheme | Memory(MB) |
| --- | --- |
| Batchlearning(consensusupdate,batchK=10) | 1959.58 |
| Batchlearning(consensusupdate,batchK=20) | 3887.08 |
| Batchlearning(consensusupdate,batchK=40) | 7742.08 |
| Batchlearning(Papyanetal.,batchK=10) | 1802.29 |
| Batchlearning(Papyanetal.,batchK=20) | 3390.24 |
| Batchlearning(Papyanetal.,batchK=40) | 6566.15 |
| Ouralgorithm“Online-Samp”in | 158.11 |
| Algorithm??OptionI(sgd-spatial) | 111.38 |
| Algorithm??OptionII(sgd-frequency) | 154.84 |
| Algorithm??OptionI(surro-spatial) | 342.90 |
| Algorithm??OptionII(surro-frequency) | 158.11 | | 0 |
| Schemes | Memory(MB) |
| --- | --- |
| Batch(K=10) | 618 |
| Batch(K=20) | 1197 |
| Batch(K=50) | 2902 | | | Online(256×256) | 1213 |
| --- | --- |
| Online-Samp.(64×64) | 133 | | 1 |
| Schemes | Memory(MB) |
| --- | --- |
| Batch(K=10) | 618 |
| Batch(K=20) | 1197 |
| Batch(K=50) | 2902 | | | Batchlearning(consensusupdate,batchK=40) | 7742.08 |
| --- | --- |
| Batchlearning(Papyanetal.,batchK=10) | 1802.29 |
| Batchlearning(Papyanetal.,batchK=20) | 3390.24 |
| Batchlearning(Papyanetal.,batchK=40) | 6566.15 |
| Ouralgorithm“Online-Samp”in | 158.11 |
| Algorithm??OptionI(sgd-spatial) | 111.38 |
| Algorithm??OptionII(sgd-frequency) | 154.84 |
| Algorithm??OptionI(surro-spatial) | 342.90 |
| Algorithm??OptionII(surro-frequency) | 158.11 | | 0 |
| Fold | TotalSize | RandomPA | QBagPA | QBoostPA | ClosestPA | TargetFMeasure |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | 5020 | 3660(1.00) | 1440(0.39) | 1920(0.52) | 1100(0.30) | 56.23 |
| 2 | 5260 | 2020(1.00) | 1500(0.74) | 940(0.47) | 660(0.33) | 55.98 |
| 3 | 5020 | 2920(1.00) | 2320(0.79) | 1420(0.49) | 2920(1.00) | 58.43 |
| 4 | 4820 | 2360(1.00) | 3420(1.45) | 2460(1.04) | 2640(1.12) | 52.88 |
| 5 | 5100 | 4180(1.00) | 1460(0.35) | 1220(0.29) | 440(0.11) | 46.07 |
| 6 | 4820 | 860(1.00) | 1920(2.23) | 3700(4.30) | 400(0.47) | 55.74 |
| 7 | 5160 | 3240(1.00) | 1740(0.54) | 1360(0.42) | 1760(0.54) | 60.80 | | | 8 | 5180 | 3400(1.00) | 2700(0.79) | 2060(0.61) | 2840(0.84) | 59.83 |
| --- | --- | --- | --- | --- | --- | --- |
| 9 | 5180 | 5000(1.00) | 2080(0.42) | 1600(0.32) | 900(0.18) | 67.90 |
| 10 | 5020 | 3400(1.00) | 2040(0.60) | 2840(0.84) | 2420(0.71) | 55.59 |
| Average | 5058 | 3104(1.00) | 2062(0.83) | 1952(0.93) | 1608(0.56) | 56.95 | | 1 |
| Fold | TotalSize | RandomPA | QBagPA | QBoostPA | ClosestPA | TargetFMeasure |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | 5020 | 3660(1.00) | 1440(0.39) | 1920(0.52) | 1100(0.30) | 56.23 |
| 2 | 5260 | 2020(1.00) | 1500(0.74) | 940(0.47) | 660(0.33) | 55.98 |
| 3 | 5020 | 2920(1.00) | 2320(0.79) | 1420(0.49) | 2920(1.00) | 58.43 |
| 4 | 4820 | 2360(1.00) | 3420(1.45) | 2460(1.04) | 2640(1.12) | 52.88 |
| 5 | 5100 | 4180(1.00) | 1460(0.35) | 1220(0.29) | 440(0.11) | 46.07 |
| 6 | 4820 | 860(1.00) | 1920(2.23) | 3700(4.30) | 400(0.47) | 55.74 |
| 7 | 5160 | 3240(1.00) | 1740(0.54) | 1360(0.42) | 1760(0.54) | 60.80 | | | cut | | | | |
| --- | --- | --- | --- | --- |
| P | R | F1 | P | R |
| 0.996 | 0.979 | 0.972 | 0.802 | 0.709 |
| 0.982 | 0.968 | 0.975 | 0.733 | 0.718 |
| 0.942 | 0.945 | 0.944 | 0.595 | 0.766 |
| 0.975 | 0.816 | 0.945 | 0.768 | 0.578 |
| 0.972 | 0.976 | 0.974 | 0.869 | 0.719 |
| 0.978 | 0.968 | 0.973 | 0.826 | 0.731 |
| 0.971 | 0.988 | 0.980 | 0.813 | 0.806 |
| 0.981 | 0.997 | 0.989 | 0.838 | 0.845 | | 0 |
| Fold | TotalSize | RandomPA | QBagPA | QBoostPA | ClosestPA | TargetFMeasure |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | 5020 | 3660(1.00) | 1440(0.39) | 1920(0.52) | 1100(0.30) | 56.23 |
| 2 | 5260 | 2020(1.00) | 1500(0.74) | 940(0.47) | 660(0.33) | 55.98 |
| 3 | 5020 | 2920(1.00) | 2320(0.79) | 1420(0.49) | 2920(1.00) | 58.43 |
| 4 | 4820 | 2360(1.00) | 3420(1.45) | 2460(1.04) | 2640(1.12) | 52.88 | | | 5 | 5100 | 4180(1.00) | 1460(0.35) | 1220(0.29) | 440(0.11) | 46.07 |
| --- | --- | --- | --- | --- | --- | --- |
| 6 | 4820 | 860(1.00) | 1920(2.23) | 3700(4.30) | 400(0.47) | 55.74 |
| 7 | 5160 | 3240(1.00) | 1740(0.54) | 1360(0.42) | 1760(0.54) | 60.80 |
| 8 | 5180 | 3400(1.00) | 2700(0.79) | 2060(0.61) | 2840(0.84) | 59.83 |
| 9 | 5180 | 5000(1.00) | 2080(0.42) | 1600(0.32) | 900(0.18) | 67.90 |
| 10 | 5020 | 3400(1.00) | 2040(0.60) | 2840(0.84) | 2420(0.71) | 55.59 |
| Average | 5058 | 3104(1.00) | 2062(0.83) | 1952(0.93) | 1608(0.56) | 56.95 | | 1 |
| Fold | TotalSize | RandomPA | QBagPA | QBoostPA | ClosestPA | TargetFMeasure |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | 5020 | 3660(1.00) | 1440(0.39) | 1920(0.52) | 1100(0.30) | 56.23 |
| 2 | 5260 | 2020(1.00) | 1500(0.74) | 940(0.47) | 660(0.33) | 55.98 |
| 3 | 5020 | 2920(1.00) | 2320(0.79) | 1420(0.49) | 2920(1.00) | 58.43 |
| 4 | 4820 | 2360(1.00) | 3420(1.45) | 2460(1.04) | 2640(1.12) | 52.88 | | | 0.982 | 0.968 | 0.975 | 0.733 | 0.718 |
| --- | --- | --- | --- | --- |
| 0.942 | 0.945 | 0.944 | 0.595 | 0.766 |
| 0.975 | 0.816 | 0.945 | 0.768 | 0.578 |
| 0.972 | 0.976 | 0.974 | 0.869 | 0.719 |
| 0.978 | 0.968 | 0.973 | 0.826 | 0.731 |
| 0.971 | 0.988 | 0.980 | 0.813 | 0.806 |
| 0.981 | 0.997 | 0.989 | 0.838 | 0.845 | | 0 |
| Architectures | - | ReLU | Tanh | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | learningrate | c-operator | ef-operator | c-operator | ef-operator | c-operator | | | 2HiddenLayers)MLP( | 0.01<br>0.005<br>0.001<br>0.0005 | 98.43<br>98.36<br>98.03<br>97.61 | 98.01<br>98.09<br>97.76<br>97.21 | 96.39<br>97.23<br>97.63<br>96.27 | 95.57<br>96.05<br>96.77<br>96.10 | 97.81<br>98.07<br>95.83<br>95.83 |
| --- | --- | --- | --- | --- | --- | --- |
| 3HiddenLayers)MLP( | 0.01<br>0.005<br>0.001<br>0.0005 | 96.85<br>98.15<br>98.22<br>97.65 | 97.80<br>97.95<br>97.63<br>96.97 | 90.42<br>95.08<br>97.49<br>96.78 | 92.64<br>93.33<br>93.63<br>93.93 | 96.31<br>96.48<br>95.74<br>94.34 |
| LeNet-5 | - | 99.29 | 98.60 | 99.22 | 98.43 | 99.20 | | 1 |
| Architectures | - | ReLU | Tanh | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | learningrate | c-operator | ef-operator | c-operator | ef-operator | c-operator | | | Learningstage | Testingstage | A.U.C | A.T.E |
| --- | --- | --- | --- |
| (50,25,0,25)<br>(50,25,0,25) | (50,0,0,50)<br>(50,50,0,0) | 0.6899<br>0.6097 | 0.3584<br>0.4269 |
| (50,0,25,25)<br>(50,0,25,25) | (50,0,50,0)<br>(50,0,0,50) | 0.6133<br>0.6914 | 0.4284<br>0.3518 |
| (50,25,25,0)<br>(50,25,25,0) | (50,50,0,0)<br>(50,0,50,0) | 0.5104<br>0.5208 | 0.4920<br>0.4855 |
| (50,25,25,0)<br>(50,25,0,25)<br>(50,0,25,25) | (50,0,0,50)<br>(50,0,50,0)<br>(50,50,0,0) | 0.5415<br>0.6039<br>0.6158 | 0.4692<br>0.4306<br>0.4149 |
| (50,25,25,0)<br>(50,25,0,25)<br>(50,0,25,25) | (50,25,0,25)<br>(50,25,25,0)<br>(50,25,25,0) | 0.5404<br>0.6072<br>0.6585 | 0.4718<br>0.4303<br>0.4199 |
| (50,25,0,25)<br>(50,0,25,25) | (50,0,50,0)<br>(50,50,0,0) | 0.6095<br>0.6321 | 0.4311<br>0.4155 | | 0 |
| Architectures | - | ReLU | Tanh | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | learningrate | c-operator | ef-operator | c-operator | ef-operator | c-operator |
| 2HiddenLayers)MLP( | 0.01<br>0.005<br>0.001<br>0.0005 | 98.43<br>98.36<br>98.03<br>97.61 | 98.01<br>98.09<br>97.76<br>97.21 | 96.39<br>97.23<br>97.63<br>96.27 | 95.57<br>96.05<br>96.77<br>96.10 | 97.81<br>98.07<br>95.83<br>95.83 | | | 3HiddenLayers)MLP( | 0.01<br>0.005<br>0.001<br>0.0005 | 96.85<br>98.15<br>98.22<br>97.65 | 97.80<br>97.95<br>97.63<br>96.97 | 90.42<br>95.08<br>97.49<br>96.78 | 92.64<br>93.33<br>93.63<br>93.93 | 96.31<br>96.48<br>95.74<br>94.34 |
| --- | --- | --- | --- | --- | --- | --- |
| LeNet-5 | - | 99.29 | 98.60 | 99.22 | 98.43 | 99.20 | | 1 |
| Architectures | - | ReLU | Tanh | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | learningrate | c-operator | ef-operator | c-operator | ef-operator | c-operator |
| 2HiddenLayers)MLP( | 0.01<br>0.005<br>0.001<br>0.0005 | 98.43<br>98.36<br>98.03<br>97.61 | 98.01<br>98.09<br>97.76<br>97.21 | 96.39<br>97.23<br>97.63<br>96.27 | 95.57<br>96.05<br>96.77<br>96.10 | 97.81<br>98.07<br>95.83<br>95.83 | | | (50,25,25,0)<br>(50,25,0,25)<br>(50,0,25,25) | (50,25,0,25)<br>(50,25,25,0)<br>(50,25,25,0) | 0.5404<br>0.6072<br>0.6585 | 0.4718<br>0.4303<br>0.4199 |
| --- | --- | --- | --- |
| (50,25,0,25)<br>(50,0,25,25) | (50,0,50,0)<br>(50,50,0,0) | 0.6095<br>0.6321 | 0.4311<br>0.4155 | | 0 |
| Numberofslices<br>(3mmslicethickness) | SizeofFOV<br>[mm] | KVP | Exposuretime<br>[ms] |
| --- | --- | --- | --- |
| 110 | 360 | 100 | 500 |
| 111 | 460 | 120 | 500 |
| 118 | 380 | 100 | 500 |
| 83 | 380 | 100 | 500 |
| 119 | 340 | 100 | 500 |
| 98 | 380 | 100 | 500 |
| 127 | 500 | 120 | 500 |
| 110 | 400 | 120 | 500 |
| 80 | 320 | 100 | 500 |
| 116 | 380 | 100 | 500 |
| 107 | 380 | 100 | 500 |
| 97 | 400 | 120 | 500 |
| 107 | 350 | 100 | 500 |
| 95 | 340 | 100 | 500 |
| 122 | 400 | 120 | 500 |
| 98 | 400 | 100 | 500 | | | 91 | 380 | 100 | 500 |
| --- | --- | --- | --- |
| 107 | 360 | 100 | 500 |
| 104 | 320 | 100 | 500 |
| 101 | 380 | 120 | 500 | | 1 |
| Numberofslices<br>(3mmslicethickness) | SizeofFOV<br>[mm] | KVP | Exposuretime<br>[ms] |
| --- | --- | --- | --- |
| 110 | 360 | 100 | 500 |
| 111 | 460 | 120 | 500 |
| 118 | 380 | 100 | 500 |
| 83 | 380 | 100 | 500 |
| 119 | 340 | 100 | 500 |
| 98 | 380 | 100 | 500 |
| 127 | 500 | 120 | 500 |
| 110 | 400 | 120 | 500 |
| 80 | 320 | 100 | 500 |
| 116 | 380 | 100 | 500 |
| 107 | 380 | 100 | 500 |
| 97 | 400 | 120 | 500 |
| 107 | 350 | 100 | 500 |
| 95 | 340 | 100 | 500 |
| 122 | 400 | 120 | 500 |
| 98 | 400 | 100 | 500 | | | \|Ω\|<br>mnN | AR-BC-ADMM | P-BC-ADMM | TFOCS | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | |
| 0.01 | 215 | 217.98 | 266 | 271.72 | 400 | 334.08 | 543 |
| 0.02 | 180 | 180.96 | 210 | 217.24 | 400 | 338.10 | 344 |
| 0.03 | 165 | 170.66 | 192 | 197.58 | 400 | 336.50 | 307 |
| 0.05 | 146 | 152.56 | 171 | 175.42 | 400 | 338.13 | 268 |
| 0.10 | 127 | 134.35 | 144 | 148.66 | 400 | 339.83 | 226 |
| 0.15 | 118 | 124.43 | 129 | 133.76 | 400 | 341.33 | 211 |
| 0.25 | 108 | 111.98 | 114 | 116.32 | 400 | 351.30 | 188 | | 0 |
| Numberofslices<br>(3mmslicethickness) | SizeofFOV<br>[mm] | KVP | Exposuretime<br>[ms] |
| --- | --- | --- | --- |
| 110 | 360 | 100 | 500 |
| 111 | 460 | 120 | 500 |
| 118 | 380 | 100 | 500 |
| 83 | 380 | 100 | 500 |
| 119 | 340 | 100 | 500 |
| 98 | 380 | 100 | 500 | | | 127 | 500 | 120 | 500 |
| --- | --- | --- | --- |
| 110 | 400 | 120 | 500 |
| 80 | 320 | 100 | 500 |
| 116 | 380 | 100 | 500 |
| 107 | 380 | 100 | 500 |
| 97 | 400 | 120 | 500 |
| 107 | 350 | 100 | 500 |
| 95 | 340 | 100 | 500 |
| 122 | 400 | 120 | 500 |
| 98 | 400 | 100 | 500 |
| 91 | 380 | 100 | 500 |
| 107 | 360 | 100 | 500 |
| 104 | 320 | 100 | 500 |
| 101 | 380 | 120 | 500 | | 1 |
| Numberofslices<br>(3mmslicethickness) | SizeofFOV<br>[mm] | KVP | Exposuretime<br>[ms] |
| --- | --- | --- | --- |
| 110 | 360 | 100 | 500 |
| 111 | 460 | 120 | 500 |
| 118 | 380 | 100 | 500 |
| 83 | 380 | 100 | 500 |
| 119 | 340 | 100 | 500 |
| 98 | 380 | 100 | 500 | | | 0.10 | 127 | 134.35 | 144 | 148.66 | 400 | 339.83 | 226 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 0.15 | 118 | 124.43 | 129 | 133.76 | 400 | 341.33 | 211 |
| 0.25 | 108 | 111.98 | 114 | 116.32 | 400 | 351.30 | 188 | | 0 |
| SI-SDR(dB) |
| --- |
| CSCOSC |
| -10.8 |
| -10.4 |
| -- |
| -10.2 | | | 11.111.2<br>11.411.5 |
| --- |
| 11.811.8<br>12.812.6 |
| 12.512.7<br>13.513.7<br>13.213.5<br>13.113.4<br>16.216.4<br>18.118.3<br>12.612.8<br>26.326.6 | | 1 |
| SI-SDR(dB) |
| --- |
| CSCOSC |
| -10.8 |
| -10.4 |
| -- |
| -10.2 | | | | SDR(dB) | SIR(dB) | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | WMDLD | MDLD | GS | WMDLD | MDLD | GS | WMDLD | MDLD |
| Dev3Female4 | 11.77 | 6.02 | 16.93 | 22.26 | 23.84 | 22.43 | 12.23 | 6.17 |
| Example3×5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 |
| Example4×8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 | | 0 |
| SI-SDR(dB) |
| --- |
| CSCOSC |
| -10.8 |
| -10.4 | | | -- |
| --- |
| -10.2 |
| 11.111.2<br>11.411.5 |
| 11.811.8<br>12.812.6 |
| 12.512.7<br>13.513.7<br>13.213.5<br>13.113.4<br>16.216.4<br>18.118.3<br>12.612.8<br>26.326.6 | | 1 |
| SI-SDR(dB) |
| --- |
| CSCOSC |
| -10.8 |
| -10.4 | | | Dev3Female4 | 11.77 | 6.02 | 16.93 | 22.26 | 23.84 | 22.43 | 12.23 | 6.17 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Example3×5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 |
| Example4×8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 | | 0 |
| c | disutilitycostparameters |
| --- | --- |
| R | reducedload |
| S | maximumavailablepowersupply |
| L | powerload |
| f | maximumlinecapacity | | | Hs | generationshiftfactormatrix |
| --- | --- |
| Hl | loadshiftfactormatrix | | 1 |
| c | disutilitycostparameters |
| --- | --- |
| R | reducedload |
| S | maximumavailablepowersupply |
| L | powerload |
| f | maximumlinecapacity | | | a,b | costparameters |
| --- | --- |
| ω | angularfrequency |
| θ | phaseangle |
| P | mechanicalpower |
| P | lowerlimitofmechanicalpower |
| P | upperlimitofmechanicalpower |
| L | powerload |
| Pij | capacityoflineconnectingbusesiandj |
| D | load-dampingconstant |
| tij | tie-linestiffnesscoefficient | | 0 |
| c | disutilitycostparameters |
| --- | --- |
| R | reducedload |
| S | maximumavailablepowersupply |
| L | powerload | | | f | maximumlinecapacity |
| --- | --- |
| Hs | generationshiftfactormatrix |
| Hl | loadshiftfactormatrix | | 1 |
| c | disutilitycostparameters |
| --- | --- |
| R | reducedload |
| S | maximumavailablepowersupply |
| L | powerload | | | P | mechanicalpower |
| --- | --- |
| P | lowerlimitofmechanicalpower |
| P | upperlimitofmechanicalpower |
| L | powerload |
| Pij | capacityoflineconnectingbusesiandj |
| D | load-dampingconstant |
| tij | tie-linestiffnesscoefficient | | 0 |
| ↓Appr.→n | 50 | 100 | 500 | 1000 |
| --- | --- | --- | --- | --- |
| RND | .390 | .462 | .586 | .616 | | | RESP | .389 | .461 | .600 | .625 |
| --- | --- | --- | --- | --- |
| ANMS | .461 | .508 | .614 | .620 |
| RND+ME | .469 | .529 | .625 | .638 |
| ANMS+ME | .542 | .588 | .648 | .644 |
| RND+MER | .481 | .539 | .626 | .634 |
| ANMS+MER | .551 | .591 | .648 | .640 | | 1 |
| ↓Appr.→n | 50 | 100 | 500 | 1000 |
| --- | --- | --- | --- | --- |
| RND | .390 | .462 | .586 | .616 | | | ↓Appr.→n | 50 | 100 | 500 | 1000 |
| --- | --- | --- | --- | --- |
| RND | .600 | .662 | .765 | .792 |
| RESP | .571 | .630 | .735 | .770 |
| ANMS | .642 | .696 | .779 | .803 |
| RND+ME | .646 | .702 | .764 | .770 |
| ANMS+ME | .699 | .734 | .780 | .781 | | 0 |
| ↓Appr.→n | 50 | 100 | 500 | 1000 |
| --- | --- | --- | --- | --- |
| RND | .390 | .462 | .586 | .616 |
| RESP | .389 | .461 | .600 | .625 | | | ANMS | .461 | .508 | .614 | .620 |
| --- | --- | --- | --- | --- |
| RND+ME | .469 | .529 | .625 | .638 |
| ANMS+ME | .542 | .588 | .648 | .644 |
| RND+MER | .481 | .539 | .626 | .634 |
| ANMS+MER | .551 | .591 | .648 | .640 | | 1 |
| ↓Appr.→n | 50 | 100 | 500 | 1000 |
| --- | --- | --- | --- | --- |
| RND | .390 | .462 | .586 | .616 |
| RESP | .389 | .461 | .600 | .625 | | | ANMS | .642 | .696 | .779 | .803 |
| --- | --- | --- | --- | --- |
| RND+ME | .646 | .702 | .764 | .770 |
| ANMS+ME | .699 | .734 | .780 | .781 | | 0 |
| Dataset | No.ofFeaturepoints | e3d(Cconstraint) | e3d(CDconstraint) |
| --- | --- | --- | --- |
| FaceSequence1 | 3275 | 0.0749 | 0.0745 | | | FaceSequence2 | 3275 | 0.0506 | 0.050 |
| --- | --- | --- | --- |
| FaceSequence3 | 3275 | 0.0384 | 0.0380 |
| FaceSequence4 | 3275 | 0.0446 | 0.0443 | | 1 |
| Dataset | No.ofFeaturepoints | e3d(Cconstraint) | e3d(CDconstraint) |
| --- | --- | --- | --- |
| FaceSequence1 | 3275 | 0.0749 | 0.0745 | | | Dataset | BMM+SSC(3D) | SSC(2D)+BMM | OurMethod | | | |
| --- | --- | --- | --- | --- | --- | --- |
| e3D | eMS | e3D | eMS | e3D | eMS | |
| p2free2 | 0.1973 | 0.0 | 0.2177 | 0.0 | 0.1992 | 0.0 |
| p3ball1 | 0.1356 | 0.0 | 0.1422 | 0.0 | 0.1348 | 0.0 |
| p4grab2 | 0.2018 | 0.0 | 0.2182 | 0.0 | 0.2080 | 0.0 |
| p4table12 | 0.2313 | 0.0 | 0.2418 | 0.0 | 0.2313 | 0.0 |
| p4meet12 | 0.0800 | 0.0135 | 0.0941 | 0.0 | 0.0821 | 0.0135 | | 0 |
| Dataset | No.ofFeaturepoints | e3d(Cconstraint) | e3d(CDconstraint) |
| --- | --- | --- | --- |
| FaceSequence1 | 3275 | 0.0749 | 0.0745 |
| FaceSequence2 | 3275 | 0.0506 | 0.050 | | | FaceSequence3 | 3275 | 0.0384 | 0.0380 |
| --- | --- | --- | --- |
| FaceSequence4 | 3275 | 0.0446 | 0.0443 | | 1 |
| Dataset | No.ofFeaturepoints | e3d(Cconstraint) | e3d(CDconstraint) |
| --- | --- | --- | --- |
| FaceSequence1 | 3275 | 0.0749 | 0.0745 |
| FaceSequence2 | 3275 | 0.0506 | 0.050 | | | p3ball1 | 0.1356 | 0.0 | 0.1422 | 0.0 | 0.1348 | 0.0 |
| --- | --- | --- | --- | --- | --- | --- |
| p4grab2 | 0.2018 | 0.0 | 0.2182 | 0.0 | 0.2080 | 0.0 |
| p4table12 | 0.2313 | 0.0 | 0.2418 | 0.0 | 0.2313 | 0.0 |
| p4meet12 | 0.0800 | 0.0135 | 0.0941 | 0.0 | 0.0821 | 0.0135 | | 0 |
| FeatureGroupsUsed | ValidationABSq |
| --- | --- |
| VGG-PCA | 0.0451 |
| NET | 0.0417 |
| M1 | 0.0421 | | | M1+M2+M5+M10+M25 | 0.0406 |
| --- | --- |
| M2+M5+M10+NET | 0.0368 | | 1 |
| FeatureGroupsUsed | ValidationABSq |
| --- | --- |
| VGG-PCA | 0.0451 |
| NET | 0.0417 |
| M1 | 0.0421 | | | ModelandApproach | ABSq |
| --- | --- |
| M2+M5+M10+NETXGB | 0.0368 |
| VGG-PCA+M1+M5+M25+NETLOGXGB | 0.0338 |
| VGG-PCAMLP | 0.0287 |
| 3DCNN | 0.0284 | | 0 |
| FeatureGroupsUsed | ValidationABSq |
| --- | --- |
| VGG-PCA | 0.0451 |
| NET | 0.0417 | | | M1 | 0.0421 |
| --- | --- |
| M1+M2+M5+M10+M25 | 0.0406 |
| M2+M5+M10+NET | 0.0368 | | 1 |
| FeatureGroupsUsed | ValidationABSq |
| --- | --- |
| VGG-PCA | 0.0451 |
| NET | 0.0417 | | | VGG-PCAMLP | 0.0287 |
| --- | --- |
| 3DCNN | 0.0284 | | 0 |
| | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| AAPL | 0.0073 | 0.0088 | 0.0060 | 0.0053 | 0.0045 | 0.0065 | 0.0053 | 0.0041 |
| AXP | 0.0082 | 0.0097 | 0.0047 | 0.0039 | 0.0041 | 0.0056 | 0.0055 | 0.0033 |
| BA | 0.0080 | 0.0098 | 0.0044 | 0.0044 | 0.0044 | 0.0057 | 0.0054 | 0.0040 |
| CAT | 0.0082 | 0.0112 | 0.0055 | 0.0039 | 0.0045 | 0.0062 | 0.0058 | 0.0045 |
| CSCO | 0.0080 | 0.0108 | 0.0055 | 0.0049 | 0.0040 | 0.0059 | 0.0050 | 0.0038 |
| CVX | 0.0061 | 0.0092 | 0.0042 | 0.0032 | 0.0042 | 0.0065 | 0.0052 | 0.0036 |
| DIS | 0.0067 | 0.0101 | 0.0043 | 0.0039 | 0.0041 | 0.0059 | 0.0043 | 0.0039 |
| DWDP | 0.0091 | 0.0123 | 0.0055 | 0.0047 | 0.0051 | 0.0070 | 0.0047 | 0.0126 |
| GE | 0.0074 | 0.0098 | 0.0044 | 0.0038 | 0.0036 | 0.0059 | 0.0044 | 0.0045 |
| GS | 0.0080 | 0.0114 | 0.0058 | 0.0044 | 0.0041 | 0.0057 | 0.0058 | 0.0044 |
| HD | 0.0067 | 0.0089 | 0.0044 | 0.0039 | 0.0040 | 0.0053 | 0.0045 | 0.0034 |
| IBM | 0.0057 | 0.0086 | 0.0040 | 0.0040 | 0.0041 | 0.0055 | 0.0047 | 0.0039 |
| INTC | 0.0070 | 0.0091 | 0.0048 | 0.0043 | 0.0048 | 0.0061 | 0.0052 | 0.0041 |
| JNJ | 0.0045 | 0.0084 | 0.0028 | 0.0031 | 0.0036 | 0.0047 | 0.0036 | 0.0031 |
| JPM | 0.0080 | 0.0117 | 0.0058 | 0.0041 | 0.0041 | 0.0057 | 0.0055 | 0.0039 | | | KO | 0.0051 | 0.0067 | 0.0035 | 0.0035 | 0.0036 | 0.0043 | 0.0038 | 0.0027 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| MCD | 0.0050 | 0.0066 | 0.0036 | 0.0030 | 0.0033 | 0.0052 | 0.0040 | 0.0034 |
| MMM | 0.0061 | 0.0092 | 0.0037 | 0.0033 | 0.0037 | 0.0051 | 0.0038 | 0.0033 |
| MRK | 0.0061 | 0.0081 | 0.0039 | 0.0037 | 0.0043 | 0.0056 | 0.0049 | 0.0038 |
| MSFT | 0.0064 | 0.0083 | 0.0047 | 0.0048 | 0.0042 | 0.0067 | 0.0051 | 0.0037 |
| NKE | 0.0065 | 0.0098 | 0.0051 | 0.0043 | 0.0046 | 0.0058 | 0.0051 | 0.0047 |
| PFE | 0.0062 | 0.0084 | 0.0035 | 0.0039 | 0.0039 | 0.0053 | 0.0046 | 0.0030 |
| PG | 0.0046 | 0.0062 | 0.0035 | 0.0036 | 0.0031 | 0.0046 | 0.0038 | 0.0032 |
| TRV | 0.0058 | 0.0091 | 0.0041 | 0.0035 | 0.0034 | 0.0049 | 0.0044 | 0.0034 |
| UNH | 0.0070 | 0.0099 | 0.0048 | 0.0042 | 0.0042 | 0.0062 | 0.0046 | 0.0036 |
| UTX | 0.0061 | 0.0092 | 0.0045 | 0.0036 | 0.0037 | 0.0053 | 0.0046 | 0.0034 |
| V | 0.0082 | 0.0101 | 0.0047 | 0.0043 | 0.0047 | 0.0056 | 0.0049 | 0.0033 |
| VZ | 0.0054 | 0.0073 | 0.0037 | 0.0038 | 0.0078 | 0.0046 | 0.0041 | 0.0041 |
| WMT | 0.0048 | 0.0067 | 0.0040 | 0.0031 | 0.0034 | 0.0055 | 0.0046 | 0.0042 |
| XOM | 0.0059 | 0.0088 | 0.0038 | 0.0032 | 0.0039 | 0.0058 | 0.0046 | 0.0031 | | 1 |
| | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| AAPL | 0.0073 | 0.0088 | 0.0060 | 0.0053 | 0.0045 | 0.0065 | 0.0053 | 0.0041 |
| AXP | 0.0082 | 0.0097 | 0.0047 | 0.0039 | 0.0041 | 0.0056 | 0.0055 | 0.0033 |
| BA | 0.0080 | 0.0098 | 0.0044 | 0.0044 | 0.0044 | 0.0057 | 0.0054 | 0.0040 |
| CAT | 0.0082 | 0.0112 | 0.0055 | 0.0039 | 0.0045 | 0.0062 | 0.0058 | 0.0045 |
| CSCO | 0.0080 | 0.0108 | 0.0055 | 0.0049 | 0.0040 | 0.0059 | 0.0050 | 0.0038 |
| CVX | 0.0061 | 0.0092 | 0.0042 | 0.0032 | 0.0042 | 0.0065 | 0.0052 | 0.0036 |
| DIS | 0.0067 | 0.0101 | 0.0043 | 0.0039 | 0.0041 | 0.0059 | 0.0043 | 0.0039 |
| DWDP | 0.0091 | 0.0123 | 0.0055 | 0.0047 | 0.0051 | 0.0070 | 0.0047 | 0.0126 |
| GE | 0.0074 | 0.0098 | 0.0044 | 0.0038 | 0.0036 | 0.0059 | 0.0044 | 0.0045 |
| GS | 0.0080 | 0.0114 | 0.0058 | 0.0044 | 0.0041 | 0.0057 | 0.0058 | 0.0044 |
| HD | 0.0067 | 0.0089 | 0.0044 | 0.0039 | 0.0040 | 0.0053 | 0.0045 | 0.0034 |
| IBM | 0.0057 | 0.0086 | 0.0040 | 0.0040 | 0.0041 | 0.0055 | 0.0047 | 0.0039 |
| INTC | 0.0070 | 0.0091 | 0.0048 | 0.0043 | 0.0048 | 0.0061 | 0.0052 | 0.0041 |
| JNJ | 0.0045 | 0.0084 | 0.0028 | 0.0031 | 0.0036 | 0.0047 | 0.0036 | 0.0031 |
| JPM | 0.0080 | 0.0117 | 0.0058 | 0.0041 | 0.0041 | 0.0057 | 0.0055 | 0.0039 | | | Year | Acc. | Opt. | Base. | Opt.t | TN | TP | FN | FP | Total |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1999 | 0.5000 | 0.7500 | 0.7500 | 0 | 0 | 4 | 2 | 2 | 8 |
| 2000 | 0.6000 | 0.7000 | 0.7000 | 0 | 0 | 6 | 1 | 3 | 10 |
| 2001 | 0.5333 | 0.6667 | 0.5333 | 57 | 3 | 5 | 3 | 4 | 15 |
| 2003 | 0.2222 | 0.5556 | 0.5556 | 0 | 0 | 2 | 3 | 4 | 9 |
| 2004 | 0.6000 | 0.6000 | 0.5000 | 15 | 3 | 3 | 2 | 2 | 10 |
| 2005 | 0.6471 | 0.6471 | 0.5882 | 327 | 9 | 2 | 5 | 1 | 17 |
| 2006 | 0.2143 | 0.5714 | 0.5714 | 39 | 3 | 0 | 6 | 5 | 14 |
| 2007 | 0.2000 | 0.6000 | 0.6000 | 10 | 3 | 0 | 6 | 6 | 15 |
| 2008 | 0.5000 | 0.5714 | 0.5000 | 2775 | 6 | 1 | 6 | 1 | 14 |
| 2009 | 0.4545 | 0.5455 | 0.6364 | 382 | 5 | 0 | 4 | 2 | 11 |
| 2010 | 0.5714 | 0.6190 | 0.5714 | 326 | 11 | 1 | 8 | 1 | 21 |
| 2011 | 0.3889 | 0.6111 | 0.5556 | 1 | 2 | 5 | 5 | 6 | 18 |
| 2012 | 0.4118 | 0.6471 | 0.6471 | 41 | 7 | 0 | 6 | 4 | 17 |
| 2013 | 0.7895 | 0.8421 | 0.7895 | 823 | 14 | 1 | 3 | 1 | 19 |
| 2014 | 0.6154 | 0.6923 | 0.7692 | 123 | 8 | 0 | 3 | 2 | 13 |
| 2015 | 0.7273 | 0.8182 | 0.7273 | 1028 | 7 | 1 | 2 | 1 | 11 |
| 2016 | 0.5882 | 0.6471 | 0.5882 | 35 | 9 | 1 | 6 | 1 | 17 |
| All | 0.5105 | 0.6527 | - | - | 90 | 32 | 71 | 46 | 239 | | 0 |
| | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| AAPL | 0.0073 | 0.0088 | 0.0060 | 0.0053 | 0.0045 | 0.0065 | 0.0053 | 0.0041 |
| AXP | 0.0082 | 0.0097 | 0.0047 | 0.0039 | 0.0041 | 0.0056 | 0.0055 | 0.0033 |
| BA | 0.0080 | 0.0098 | 0.0044 | 0.0044 | 0.0044 | 0.0057 | 0.0054 | 0.0040 |
| CAT | 0.0082 | 0.0112 | 0.0055 | 0.0039 | 0.0045 | 0.0062 | 0.0058 | 0.0045 |
| CSCO | 0.0080 | 0.0108 | 0.0055 | 0.0049 | 0.0040 | 0.0059 | 0.0050 | 0.0038 |
| CVX | 0.0061 | 0.0092 | 0.0042 | 0.0032 | 0.0042 | 0.0065 | 0.0052 | 0.0036 |
| DIS | 0.0067 | 0.0101 | 0.0043 | 0.0039 | 0.0041 | 0.0059 | 0.0043 | 0.0039 |
| DWDP | 0.0091 | 0.0123 | 0.0055 | 0.0047 | 0.0051 | 0.0070 | 0.0047 | 0.0126 |
| GE | 0.0074 | 0.0098 | 0.0044 | 0.0038 | 0.0036 | 0.0059 | 0.0044 | 0.0045 |
| GS | 0.0080 | 0.0114 | 0.0058 | 0.0044 | 0.0041 | 0.0057 | 0.0058 | 0.0044 |
| HD | 0.0067 | 0.0089 | 0.0044 | 0.0039 | 0.0040 | 0.0053 | 0.0045 | 0.0034 |
| IBM | 0.0057 | 0.0086 | 0.0040 | 0.0040 | 0.0041 | 0.0055 | 0.0047 | 0.0039 |
| INTC | 0.0070 | 0.0091 | 0.0048 | 0.0043 | 0.0048 | 0.0061 | 0.0052 | 0.0041 |
| JNJ | 0.0045 | 0.0084 | 0.0028 | 0.0031 | 0.0036 | 0.0047 | 0.0036 | 0.0031 |
| JPM | 0.0080 | 0.0117 | 0.0058 | 0.0041 | 0.0041 | 0.0057 | 0.0055 | 0.0039 | | | KO | 0.0051 | 0.0067 | 0.0035 | 0.0035 | 0.0036 | 0.0043 | 0.0038 | 0.0027 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| MCD | 0.0050 | 0.0066 | 0.0036 | 0.0030 | 0.0033 | 0.0052 | 0.0040 | 0.0034 |
| MMM | 0.0061 | 0.0092 | 0.0037 | 0.0033 | 0.0037 | 0.0051 | 0.0038 | 0.0033 |
| MRK | 0.0061 | 0.0081 | 0.0039 | 0.0037 | 0.0043 | 0.0056 | 0.0049 | 0.0038 |
| MSFT | 0.0064 | 0.0083 | 0.0047 | 0.0048 | 0.0042 | 0.0067 | 0.0051 | 0.0037 |
| NKE | 0.0065 | 0.0098 | 0.0051 | 0.0043 | 0.0046 | 0.0058 | 0.0051 | 0.0047 |
| PFE | 0.0062 | 0.0084 | 0.0035 | 0.0039 | 0.0039 | 0.0053 | 0.0046 | 0.0030 |
| PG | 0.0046 | 0.0062 | 0.0035 | 0.0036 | 0.0031 | 0.0046 | 0.0038 | 0.0032 |
| TRV | 0.0058 | 0.0091 | 0.0041 | 0.0035 | 0.0034 | 0.0049 | 0.0044 | 0.0034 |
| UNH | 0.0070 | 0.0099 | 0.0048 | 0.0042 | 0.0042 | 0.0062 | 0.0046 | 0.0036 |
| UTX | 0.0061 | 0.0092 | 0.0045 | 0.0036 | 0.0037 | 0.0053 | 0.0046 | 0.0034 |
| V | 0.0082 | 0.0101 | 0.0047 | 0.0043 | 0.0047 | 0.0056 | 0.0049 | 0.0033 |
| VZ | 0.0054 | 0.0073 | 0.0037 | 0.0038 | 0.0078 | 0.0046 | 0.0041 | 0.0041 |
| WMT | 0.0048 | 0.0067 | 0.0040 | 0.0031 | 0.0034 | 0.0055 | 0.0046 | 0.0042 |
| XOM | 0.0059 | 0.0088 | 0.0038 | 0.0032 | 0.0039 | 0.0058 | 0.0046 | 0.0031 | | 1 |
| | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| AAPL | 0.0073 | 0.0088 | 0.0060 | 0.0053 | 0.0045 | 0.0065 | 0.0053 | 0.0041 |
| AXP | 0.0082 | 0.0097 | 0.0047 | 0.0039 | 0.0041 | 0.0056 | 0.0055 | 0.0033 |
| BA | 0.0080 | 0.0098 | 0.0044 | 0.0044 | 0.0044 | 0.0057 | 0.0054 | 0.0040 |
| CAT | 0.0082 | 0.0112 | 0.0055 | 0.0039 | 0.0045 | 0.0062 | 0.0058 | 0.0045 |
| CSCO | 0.0080 | 0.0108 | 0.0055 | 0.0049 | 0.0040 | 0.0059 | 0.0050 | 0.0038 |
| CVX | 0.0061 | 0.0092 | 0.0042 | 0.0032 | 0.0042 | 0.0065 | 0.0052 | 0.0036 |
| DIS | 0.0067 | 0.0101 | 0.0043 | 0.0039 | 0.0041 | 0.0059 | 0.0043 | 0.0039 |
| DWDP | 0.0091 | 0.0123 | 0.0055 | 0.0047 | 0.0051 | 0.0070 | 0.0047 | 0.0126 |
| GE | 0.0074 | 0.0098 | 0.0044 | 0.0038 | 0.0036 | 0.0059 | 0.0044 | 0.0045 |
| GS | 0.0080 | 0.0114 | 0.0058 | 0.0044 | 0.0041 | 0.0057 | 0.0058 | 0.0044 |
| HD | 0.0067 | 0.0089 | 0.0044 | 0.0039 | 0.0040 | 0.0053 | 0.0045 | 0.0034 |
| IBM | 0.0057 | 0.0086 | 0.0040 | 0.0040 | 0.0041 | 0.0055 | 0.0047 | 0.0039 |
| INTC | 0.0070 | 0.0091 | 0.0048 | 0.0043 | 0.0048 | 0.0061 | 0.0052 | 0.0041 |
| JNJ | 0.0045 | 0.0084 | 0.0028 | 0.0031 | 0.0036 | 0.0047 | 0.0036 | 0.0031 |
| JPM | 0.0080 | 0.0117 | 0.0058 | 0.0041 | 0.0041 | 0.0057 | 0.0055 | 0.0039 | | | 2001 | 0.5333 | 0.6667 | 0.5333 | 57 | 3 | 5 | 3 | 4 | 15 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 2003 | 0.2222 | 0.5556 | 0.5556 | 0 | 0 | 2 | 3 | 4 | 9 |
| 2004 | 0.6000 | 0.6000 | 0.5000 | 15 | 3 | 3 | 2 | 2 | 10 |
| 2005 | 0.6471 | 0.6471 | 0.5882 | 327 | 9 | 2 | 5 | 1 | 17 |
| 2006 | 0.2143 | 0.5714 | 0.5714 | 39 | 3 | 0 | 6 | 5 | 14 |
| 2007 | 0.2000 | 0.6000 | 0.6000 | 10 | 3 | 0 | 6 | 6 | 15 |
| 2008 | 0.5000 | 0.5714 | 0.5000 | 2775 | 6 | 1 | 6 | 1 | 14 |
| 2009 | 0.4545 | 0.5455 | 0.6364 | 382 | 5 | 0 | 4 | 2 | 11 |
| 2010 | 0.5714 | 0.6190 | 0.5714 | 326 | 11 | 1 | 8 | 1 | 21 |
| 2011 | 0.3889 | 0.6111 | 0.5556 | 1 | 2 | 5 | 5 | 6 | 18 |
| 2012 | 0.4118 | 0.6471 | 0.6471 | 41 | 7 | 0 | 6 | 4 | 17 |
| 2013 | 0.7895 | 0.8421 | 0.7895 | 823 | 14 | 1 | 3 | 1 | 19 |
| 2014 | 0.6154 | 0.6923 | 0.7692 | 123 | 8 | 0 | 3 | 2 | 13 |
| 2015 | 0.7273 | 0.8182 | 0.7273 | 1028 | 7 | 1 | 2 | 1 | 11 |
| 2016 | 0.5882 | 0.6471 | 0.5882 | 35 | 9 | 1 | 6 | 1 | 17 |
| All | 0.5105 | 0.6527 | - | - | 90 | 32 | 71 | 46 | 239 | | 0 |
| | SLM | |
| --- | --- | --- |
| Samtlaqueries(10) | Footrule | M-measure |
| Query | 0.775[0.775-0.779] | 0.840[0.840-0.844] |
| User | 0.863[0.859-0.863] | 0.906[0.903-0.906] |
| Userconsensus | 0.800[0.795-0.798] | 0.847[0.845-0.848] |
| Randomqueries(40) | Footrule | M-measure |
| Query | 0.757[0.756-0.759] | 0.761[0.759-0.763] | | | User | 0.853[0.851-0.854] | 0.846[0.844-0.847] |
| --- | --- | --- |
| Userconsensus | 0.716[0.715-0.718] | 0.737[0.735-0.739] | | 1 |
| | SLM | |
| --- | --- | --- |
| Samtlaqueries(10) | Footrule | M-measure |
| Query | 0.775[0.775-0.779] | 0.840[0.840-0.844] |
| User | 0.863[0.859-0.863] | 0.906[0.903-0.906] |
| Userconsensus | 0.800[0.795-0.798] | 0.847[0.845-0.848] |
| Randomqueries(40) | Footrule | M-measure |
| Query | 0.757[0.756-0.759] | 0.761[0.759-0.763] | | | Query | Baseline | Re-ranking | | |
| --- | --- | --- | --- | --- |
| NDCG@50 | NDCG@100 | NDCG@50 | NDCG@100 | |
| allsouls | 0.7206 | 0.6683 | 0.7261 | 0.6843 |
| ashmolean | 0.6617 | 0.6825 | 0.7858 | 0.7954 |
| balliol | 0.6561 | 0.6860 | 0.7220 | 0.7305 |
| bodleian | 0.5847 | 0.6297 | 0.9030 | 0.9133 |
| christchurch | 0.6259 | 0.6033 | 0.8136 | 0.7482 |
| cornmarket | 0.8137 | 0.8137 | 0.9188 | 0.9252 |
| hertford | 0.7462 | 0.7740 | 0.8318 | 0.8288 |
| keble | 0.9486 | 0.9511 | 0.8775 | 0.8775 |
| magdalen | 0.2492 | 0.2385 | 0.4471 | 0.4148 |
| pittrivers | 0.8830 | 0.8902 | 0.9161 | 0.9161 |
| radcliffecamera | 0.8400 | 0.7803 | 0.7806 | 0.7656 |
| mean | 0.7027 | 0.7016 | 0.7930 | 0.7818 | | 0 |
| | SLM | |
| --- | --- | --- |
| Samtlaqueries(10) | Footrule | M-measure | | | Query | 0.775[0.775-0.779] | 0.840[0.840-0.844] |
| --- | --- | --- |
| User | 0.863[0.859-0.863] | 0.906[0.903-0.906] |
| Userconsensus | 0.800[0.795-0.798] | 0.847[0.845-0.848] |
| Randomqueries(40) | Footrule | M-measure |
| Query | 0.757[0.756-0.759] | 0.761[0.759-0.763] |
| User | 0.853[0.851-0.854] | 0.846[0.844-0.847] |
| Userconsensus | 0.716[0.715-0.718] | 0.737[0.735-0.739] | | 1 |
| | SLM | |
| --- | --- | --- |
| Samtlaqueries(10) | Footrule | M-measure | | | christchurch | 0.6259 | 0.6033 | 0.8136 | 0.7482 |
| --- | --- | --- | --- | --- |
| cornmarket | 0.8137 | 0.8137 | 0.9188 | 0.9252 |
| hertford | 0.7462 | 0.7740 | 0.8318 | 0.8288 |
| keble | 0.9486 | 0.9511 | 0.8775 | 0.8775 |
| magdalen | 0.2492 | 0.2385 | 0.4471 | 0.4148 |
| pittrivers | 0.8830 | 0.8902 | 0.9161 | 0.9161 |
| radcliffecamera | 0.8400 | 0.7803 | 0.7806 | 0.7656 |
| mean | 0.7027 | 0.7016 | 0.7930 | 0.7818 | | 0 |
| nd | Time<br>A1A2BCOurs | Iterations<br>A1A2BCOurs |
| --- | --- | --- |
| 50010 | 0.060.030.120.04 | 168.744.5435.544.2 |
| 100010 | 0.150.030.140.10 | 330.741.6344.454.5 |
| 500020 | 1.70.363.111.08 | 246.846464.269.7 |
| 1000020 | 4.460.584.653.40 | 319.236.3334.4105.2 | | | 3000030 | 276.4524.5910.43 | 446.4103.640977.8 |
| --- | --- | --- |
| 5000050 | 71.6216.8768.7818.69 | 429.898.4415.154.5 |
| 100000100 | 287.9977.74268.1183.18 | 451.7119422.663 | | 1 |
| nd | Time<br>A1A2BCOurs | Iterations<br>A1A2BCOurs |
| --- | --- | --- |
| 50010 | 0.060.030.120.04 | 168.744.5435.544.2 |
| 100010 | 0.150.030.140.10 | 330.741.6344.454.5 |
| 500020 | 1.70.363.111.08 | 246.846464.269.7 |
| 1000020 | 4.460.584.653.40 | 319.236.3334.4105.2 | | | n | D(n) | D(n)f | D(n)/D(n)f |
| --- | --- | --- | --- |
| 4 | 7 | 6 | 0.857143 |
| 5 | 20 | 18 | 0.900000 |
| 6 | 71 | 63 | 0.887324 |
| 7 | 240 | 216 | 0.900000 |
| 8 | 871 | 783 | 0.898967 |
| 9 | 3148 | 2843 | 0.903113 |
| 10 | 11655 | 10535 | 0.903904 |
| 11 | 43332 | 39232 | 0.905382 |
| 12 | 162769 | 147457 | 0.905928 |
| 13 | 614198 | 556859 | 0.906644 |
| 14 | 2330537 | 2113982 | 0.907079 |
| 15 | 8875768 | 8054923 | 0.907518 |
| 16 | 33924859 | 30799063 | 0.907861 |
| 17 | 130038230 | 118098443 | 0.908182 |
| 18 | 499753855 | 454006818 | 0.908461 |
| 19 | 1924912894 | 1749201100 | 0.908717 |
| 20 | 7429160296 | 6752721263 | 0.908948 |
| 21 | 28723877732 | 26114628694 | 0.909161 |
| 22 | 111236423288 | 101153550972 | 0.909356 |
| 23 | 431403470222 | 392377497401 | 0.909537 |
| 24 | 1675316535350 | 1524043284254 | 0.909705 |
| 25 | 6513837679610 | 5926683351876 | 0.909860 |
| 26 | 25354842100894 | 23073049582134 | 0.910006 | | 0 |
| nd | Time<br>A1A2BCOurs | Iterations<br>A1A2BCOurs |
| --- | --- | --- |
| 50010 | 0.060.030.120.04 | 168.744.5435.544.2 |
| 100010 | 0.150.030.140.10 | 330.741.6344.454.5 |
| 500020 | 1.70.363.111.08 | 246.846464.269.7 | | | 1000020 | 4.460.584.653.40 | 319.236.3334.4105.2 |
| --- | --- | --- |
| 3000030 | 276.4524.5910.43 | 446.4103.640977.8 |
| 5000050 | 71.6216.8768.7818.69 | 429.898.4415.154.5 |
| 100000100 | 287.9977.74268.1183.18 | 451.7119422.663 | | 1 |
| nd | Time<br>A1A2BCOurs | Iterations<br>A1A2BCOurs |
| --- | --- | --- |
| 50010 | 0.060.030.120.04 | 168.744.5435.544.2 |
| 100010 | 0.150.030.140.10 | 330.741.6344.454.5 |
| 500020 | 1.70.363.111.08 | 246.846464.269.7 | | | 14 | 2330537 | 2113982 | 0.907079 |
| --- | --- | --- | --- |
| 15 | 8875768 | 8054923 | 0.907518 |
| 16 | 33924859 | 30799063 | 0.907861 |
| 17 | 130038230 | 118098443 | 0.908182 |
| 18 | 499753855 | 454006818 | 0.908461 |
| 19 | 1924912894 | 1749201100 | 0.908717 |
| 20 | 7429160296 | 6752721263 | 0.908948 |
| 21 | 28723877732 | 26114628694 | 0.909161 |
| 22 | 111236423288 | 101153550972 | 0.909356 |
| 23 | 431403470222 | 392377497401 | 0.909537 |
| 24 | 1675316535350 | 1524043284254 | 0.909705 |
| 25 | 6513837679610 | 5926683351876 | 0.909860 |
| 26 | 25354842100894 | 23073049582134 | 0.910006 | | 0 |
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