premise string | hypothesis string | label int64 |
|---|---|---|
| Advising<br>QuestionQuery | ATIS<br>QuestionQuery | GeoQuery<br>QuestionQuery |
| --- | --- | --- |
| 3695<br>83.8165.8 | 227111<br>55.169.2 | 19156<br>19.621.5 | | | 100<br>111.8N/A | 16<br>28.071.3 | 50<br>17.2N/A |
| --- | --- | --- |
| 43675<br>69.868.4 | 9468<br>85.872.1 | 5384<br>25.618.0 |
| 7925<br>88.890.5 | 122162<br>113.892.2 | 3042<br>29.725.0 | | 1 |
| Advising<br>QuestionQuery | ATIS<br>QuestionQuery | GeoQuery<br>QuestionQuery |
| --- | --- | --- |
| 3695<br>83.8165.8 | 227111<br>55.169.2 | 19156<br>19.621.5 | | | SingleQuery<br>rank-1mAP |
| --- |
| 44.4220.76<br>51.9026.35<br>45.5826.11<br>39.419.6<br>48.2424.43<br>55.4329.87<br>48.1529.94<br>--<br>65.8839.55 |
| 50.8926.79<br>62.1439.61 |
| 65.0238.27<br>70.1647.45 |
| 73.6951.48<br>79.5159.87 | | 0 |
| Advising<br>QuestionQuery | ATIS<br>QuestionQuery | GeoQuery<br>QuestionQuery |
| --- | --- | --- |
| 3695<br>83.8165.8 | 227111<br>55.169.2 | 19156<br>19.621.5 |
| 100<br>111.8N/A | 16<br>28.071.3 | 50<br>17.2N/A | | | 43675<br>69.868.4 | 9468<br>85.872.1 | 5384<br>25.618.0 |
| --- | --- | --- |
| 7925<br>88.890.5 | 122162<br>113.892.2 | 3042<br>29.725.0 | | 1 |
| Advising<br>QuestionQuery | ATIS<br>QuestionQuery | GeoQuery<br>QuestionQuery |
| --- | --- | --- |
| 3695<br>83.8165.8 | 227111<br>55.169.2 | 19156<br>19.621.5 |
| 100<br>111.8N/A | 16<br>28.071.3 | 50<br>17.2N/A | | | 50.8926.79<br>62.1439.61 |
| --- |
| 65.0238.27<br>70.1647.45 |
| 73.6951.48<br>79.5159.87 | | 0 |
| Dataset | Samples | Views | Clusters |
| --- | --- | --- | --- |
| UCIDigit | 2000 | 3 | 10 |
| Reuters | 600 | 5 | 6 | | | 3-sources | 169 | 3 | 6 |
| --- | --- | --- | --- |
| Prokaryotic | 551 | 3 | 4 |
| Synthetic | 1000 | 2 | 2 | | 1 |
| Dataset | Samples | Views | Clusters |
| --- | --- | --- | --- |
| UCIDigit | 2000 | 3 | 10 |
| Reuters | 600 | 5 | 6 | | | Dataset | #Instances | #Dimensions |
| --- | --- | --- |
| Digits08 | 1500 | 16 |
| Credit | 1000 | 61 |
| Cancer | 699 | 10 |
| Qsar | 1055 | 41 |
| Sonar | 208 | 60 |
| Theorem | 3060 | 51 |
| Diabetes | 768 | 8 |
| Spambase | 4600 | 57 |
| KDD99 | 494021 | 41 |
| CAPTCHA | 1885 | 26 | | 0 |
| Dataset | Samples | Views | Clusters |
| --- | --- | --- | --- |
| UCIDigit | 2000 | 3 | 10 |
| Reuters | 600 | 5 | 6 | | | 3-sources | 169 | 3 | 6 |
| --- | --- | --- | --- |
| Prokaryotic | 551 | 3 | 4 |
| Synthetic | 1000 | 2 | 2 | | 1 |
| Dataset | Samples | Views | Clusters |
| --- | --- | --- | --- |
| UCIDigit | 2000 | 3 | 10 |
| Reuters | 600 | 5 | 6 | | | Diabetes | 768 | 8 |
| --- | --- | --- |
| Spambase | 4600 | 57 |
| KDD99 | 494021 | 41 |
| CAPTCHA | 1885 | 26 | | 0 |
| | SDR(dB) | SIR(dB) | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | MDLD | GaussSep | MoWL | Hyva | MDLD | GaussSep | MoWL | Hyva | | | Latino1 | 6.38 | 5.51 | 5.72 | 0.89 | 18.63 | 8.96 | 18.59 | 9.61 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Latino2 | 3.21 | 4.71 | 2.10 | 0.89 | 11.50 | 8.87 | 11.28 | 9.61 |
| Groove | 0.22 | 0.39 | -0.43 | -0.08 | 9.48 | 3.62 | 9.60 | 8.88 |
| Dev2Male3 | 3.04 | 6.22 | 2.11 | -3.10 | 13.69 | 12.14 | 13.30 | 4.73 |
| Dev2Female3 | 4.68 | 5.70 | 3.86 | -1.85 | 15.28 | 11.45 | 16.58 | 5.02 |
| Dev2WDrums | 9.59 | 16.57 | 10.16 | 0.63 | 19.77 | 23.83 | 19.98 | 7.57 |
| Dev1WDrums | 4.96 | 16.54 | 3.81 | 6.86 | 13.88 | 20.94 | 12.38 | 16.75 |
| Average | 4.58 | 7.96 | 3.91 | 0.6 | 14.61 | 12.83 | 13.82 | 8.88 | | 1 |
| | SDR(dB) | SIR(dB) | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | MDLD | GaussSep | MoWL | Hyva | MDLD | GaussSep | MoWL | Hyva | | | | 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 |
| | SDR(dB) | SIR(dB) | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | MDLD | GaussSep | MoWL | Hyva | MDLD | GaussSep | MoWL | Hyva |
| Latino1 | 6.38 | 5.51 | 5.72 | 0.89 | 18.63 | 8.96 | 18.59 | 9.61 |
| Latino2 | 3.21 | 4.71 | 2.10 | 0.89 | 11.50 | 8.87 | 11.28 | 9.61 |
| Groove | 0.22 | 0.39 | -0.43 | -0.08 | 9.48 | 3.62 | 9.60 | 8.88 |
| Dev2Male3 | 3.04 | 6.22 | 2.11 | -3.10 | 13.69 | 12.14 | 13.30 | 4.73 |
| Dev2Female3 | 4.68 | 5.70 | 3.86 | -1.85 | 15.28 | 11.45 | 16.58 | 5.02 |
| Dev2WDrums | 9.59 | 16.57 | 10.16 | 0.63 | 19.77 | 23.83 | 19.98 | 7.57 | | | Dev1WDrums | 4.96 | 16.54 | 3.81 | 6.86 | 13.88 | 20.94 | 12.38 | 16.75 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Average | 4.58 | 7.96 | 3.91 | 0.6 | 14.61 | 12.83 | 13.82 | 8.88 | | 1 |
| | SDR(dB) | SIR(dB) | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | MDLD | GaussSep | MoWL | Hyva | MDLD | GaussSep | MoWL | Hyva |
| Latino1 | 6.38 | 5.51 | 5.72 | 0.89 | 18.63 | 8.96 | 18.59 | 9.61 |
| Latino2 | 3.21 | 4.71 | 2.10 | 0.89 | 11.50 | 8.87 | 11.28 | 9.61 |
| Groove | 0.22 | 0.39 | -0.43 | -0.08 | 9.48 | 3.62 | 9.60 | 8.88 |
| Dev2Male3 | 3.04 | 6.22 | 2.11 | -3.10 | 13.69 | 12.14 | 13.30 | 4.73 |
| Dev2Female3 | 4.68 | 5.70 | 3.86 | -1.85 | 15.28 | 11.45 | 16.58 | 5.02 |
| Dev2WDrums | 9.59 | 16.57 | 10.16 | 0.63 | 19.77 | 23.83 | 19.98 | 7.57 | | | 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 |
| Algorithm | α=0.01 | | | |
| --- | --- | --- | --- | --- |
| recall | precision | F1 | nTest | |
| He-Geng | 0.70±0.11 | 0.95±0.16 | 0.80±0.11 | 52,042±3010 |
| Baseline | 1.00±0.00 | 0.83±0.14 | 0.90±0.09 | 3,837±598 |
| MIMB | 0.84±0.10 | 0.96±0.12 | 0.89±0.08 | 2,166±307 |
| | α=0.05 | | | | | | He-Geng | 0.80±0.13 | 0.92±0.13 | 0.84±0.06 | 61,841±9378 |
| --- | --- | --- | --- | --- |
| Baseline | 1.00±0.00 | 0.71±0.08 | 0.83±0.05 | 4,237±567 |
| MIMB | 0.90±0.11 | 0.94±0.10 | 0.92±0.09 | 2,827±442 | | 1 |
| Algorithm | α=0.01 | | | |
| --- | --- | --- | --- | --- |
| recall | precision | F1 | nTest | |
| He-Geng | 0.70±0.11 | 0.95±0.16 | 0.80±0.11 | 52,042±3010 |
| Baseline | 1.00±0.00 | 0.83±0.14 | 0.90±0.09 | 3,837±598 |
| MIMB | 0.84±0.10 | 0.96±0.12 | 0.89±0.08 | 2,166±307 |
| | α=0.05 | | | | | | Algorithm | α=0.01 | | | |
| --- | --- | --- | --- | --- |
| recall | precision | F1 | nTest | |
| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 54,454±3959 |
| Baseline | 1.00±0.00 | 0.80±0.06 | 0.89±0.04 | 4,983±525 |
| MIMB | 0.86±0.14 | 1.00±0.00 | 0.92±0.08 | 2,400±747 |
| | α=0.05 | | | |
| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 62,608±4489 |
| Baseline | 1.00±0.00 | 0.71±0.11 | 0.81±0.07 | 5,530±618 |
| MIMB | 0.90±0.11 | 0.96±0.07 | 0.93±0.07 | 2,999±644 | | 0 |
| Algorithm | α=0.01 | | |
| --- | --- | --- | --- |
| recall | precision | F1 | nTest | | | He-Geng | 0.70±0.11 | 0.95±0.16 | 0.80±0.11 | 52,042±3010 |
| --- | --- | --- | --- | --- |
| Baseline | 1.00±0.00 | 0.83±0.14 | 0.90±0.09 | 3,837±598 |
| MIMB | 0.84±0.10 | 0.96±0.12 | 0.89±0.08 | 2,166±307 |
| | α=0.05 | | | |
| He-Geng | 0.80±0.13 | 0.92±0.13 | 0.84±0.06 | 61,841±9378 |
| Baseline | 1.00±0.00 | 0.71±0.08 | 0.83±0.05 | 4,237±567 |
| MIMB | 0.90±0.11 | 0.94±0.10 | 0.92±0.09 | 2,827±442 | | 1 |
| Algorithm | α=0.01 | | |
| --- | --- | --- | --- |
| recall | precision | F1 | nTest | | | Baseline | 1.00±0.00 | 0.71±0.11 | 0.81±0.07 | 5,530±618 |
| --- | --- | --- | --- | --- |
| MIMB | 0.90±0.11 | 0.96±0.07 | 0.93±0.07 | 2,999±644 | | 0 |
| Ranking | Synset | P(c\|p,r) |
| --- | --- | --- |
| 1 | VEHICLE | 0.9995 |
| 2 | VESSEL | 0.9893 |
| 3 | AIRCRAFT | 0.9937 |
| 4 | AIRPLANE | 0.9500 |
| 5 | SHIP | 0.9114 |
| ... | ... | ... |
| 255 | CONCEPT | 0.1002 |
| 256 | LAW | 0.1001 | | | 257 | PHILOSOPHY | 0.1000 |
| --- | --- | --- |
| 258 | JURISPRUDENCE | 0.1000 | | 1 |
| Ranking | Synset | P(c\|p,r) |
| --- | --- | --- |
| 1 | VEHICLE | 0.9995 |
| 2 | VESSEL | 0.9893 |
| 3 | AIRCRAFT | 0.9937 |
| 4 | AIRPLANE | 0.9500 |
| 5 | SHIP | 0.9114 |
| ... | ... | ... |
| 255 | CONCEPT | 0.1002 |
| 256 | LAW | 0.1001 | | | Topics | Question | | | |
| --- | --- | --- | --- | --- |
| Q7 | Q8 | | | |
| NumberofYES | Ranking | NumberofYES | Ranking | |
| T1 | 6 | 2 | 3 | 5 |
| T2 | 5 | 3 | 2 | 8 |
| T3 | 7 | 1 | 5 | 2 |
| T4 | 4 | 4 | 3 | 5 |
| T5 | 3 | 6 | 3 | 5 |
| T6 | 4 | 4 | 1 | 9 |
| T7 | 0 | (7) | 4 | 4 |
| T8 | 0 | (7) | 7 | 1 |
| T9 | 0 | (7) | 5 | 2 | | 0 |
| Ranking | Synset | P(c\|p,r) |
| --- | --- | --- |
| 1 | VEHICLE | 0.9995 |
| 2 | VESSEL | 0.9893 |
| 3 | AIRCRAFT | 0.9937 |
| 4 | AIRPLANE | 0.9500 |
| 5 | SHIP | 0.9114 |
| ... | ... | ... |
| 255 | CONCEPT | 0.1002 | | | 256 | LAW | 0.1001 |
| --- | --- | --- |
| 257 | PHILOSOPHY | 0.1000 |
| 258 | JURISPRUDENCE | 0.1000 | | 1 |
| Ranking | Synset | P(c\|p,r) |
| --- | --- | --- |
| 1 | VEHICLE | 0.9995 |
| 2 | VESSEL | 0.9893 |
| 3 | AIRCRAFT | 0.9937 |
| 4 | AIRPLANE | 0.9500 |
| 5 | SHIP | 0.9114 |
| ... | ... | ... |
| 255 | CONCEPT | 0.1002 | | | NumberofYES | Ranking | NumberofYES | Ranking | |
| --- | --- | --- | --- | --- |
| T1 | 6 | 2 | 3 | 5 |
| T2 | 5 | 3 | 2 | 8 |
| T3 | 7 | 1 | 5 | 2 |
| T4 | 4 | 4 | 3 | 5 |
| T5 | 3 | 6 | 3 | 5 |
| T6 | 4 | 4 | 1 | 9 |
| T7 | 0 | (7) | 4 | 4 |
| T8 | 0 | (7) | 7 | 1 |
| T9 | 0 | (7) | 5 | 2 | | 0 |
| | Feature | Description |
| --- | --- | --- |
| Distance | Manhattan | Manhattandistancefromtwotextfragments |
| Euclidean | Euclideandistancefromtwotextfragments | |
| Cosinesimilarity | Cosinesimilaritydistance | |
| Matchingcoefficient | Matchingcoefficientoftwotextfragments | | | | Dicecoefficient | Dicecoefficientoftwotextfragments | |
| --- | --- | --- |
| Jaccard | Jaccarddistanceoftwotextfragments | |
| Jaro | Jarodistanceoftwotextfragments | |
| Damerau-Levenshtein | DamerauLevenshteindistanceoftwotextfragments | |
| Levenshtein | Levenshteindistanceoftwotextfragments | |
| Statistical | Lcs | Thelongestcommonsubstringoftwotextfragments |
| AverageofTF-IDF | Termfrequency-inversedocumentfrequency | |
| Avg-TFofQandS | Avg-TFofwordsinaQappearinginaS | |
| Avg-TFofSandQ | Avg-TFofwordsinaSappearinginaS | |
| Wordoverlapping | #wordoverlappinginaQappearinginaarticle | |
| AverageofWord2Vec | Averageofword2vecsimilarity | | | 1 |
| | Feature | Description |
| --- | --- | --- |
| Distance | Manhattan | Manhattandistancefromtwotextfragments |
| Euclidean | Euclideandistancefromtwotextfragments | |
| Cosinesimilarity | Cosinesimilaritydistance | |
| Matchingcoefficient | Matchingcoefficientoftwotextfragments | | | | Totalvocabularysize | 768,298 |
| --- | --- |
| Mediandocumentlength | 346characters |
| Mediannumberofwords | 54 |
| Mediansentencelength | 51characters |
| MedianNbrofwordsinsentence | 8 | | 0 |
| | Feature | Description |
| --- | --- | --- |
| Distance | Manhattan | Manhattandistancefromtwotextfragments |
| Euclidean | Euclideandistancefromtwotextfragments | |
| Cosinesimilarity | Cosinesimilaritydistance | |
| Matchingcoefficient | Matchingcoefficientoftwotextfragments | |
| Dicecoefficient | Dicecoefficientoftwotextfragments | |
| Jaccard | Jaccarddistanceoftwotextfragments | |
| Jaro | Jarodistanceoftwotextfragments | |
| Damerau-Levenshtein | DamerauLevenshteindistanceoftwotextfragments | |
| Levenshtein | Levenshteindistanceoftwotextfragments | | | | Statistical | Lcs | Thelongestcommonsubstringoftwotextfragments |
| --- | --- | --- |
| AverageofTF-IDF | Termfrequency-inversedocumentfrequency | |
| Avg-TFofQandS | Avg-TFofwordsinaQappearinginaS | |
| Avg-TFofSandQ | Avg-TFofwordsinaSappearinginaS | |
| Wordoverlapping | #wordoverlappinginaQappearinginaarticle | |
| AverageofWord2Vec | Averageofword2vecsimilarity | | | 1 |
| | Feature | Description |
| --- | --- | --- |
| Distance | Manhattan | Manhattandistancefromtwotextfragments |
| Euclidean | Euclideandistancefromtwotextfragments | |
| Cosinesimilarity | Cosinesimilaritydistance | |
| Matchingcoefficient | Matchingcoefficientoftwotextfragments | |
| Dicecoefficient | Dicecoefficientoftwotextfragments | |
| Jaccard | Jaccarddistanceoftwotextfragments | |
| Jaro | Jarodistanceoftwotextfragments | |
| Damerau-Levenshtein | DamerauLevenshteindistanceoftwotextfragments | |
| Levenshtein | Levenshteindistanceoftwotextfragments | | | | Mediansentencelength | 51characters |
| --- | --- |
| MedianNbrofwordsinsentence | 8 | | 0 |
| patient’sID | Euclidean | Minkowski | Manhattan | Hamming | EditDistance |
| --- | --- | --- | --- | --- | --- |
| a670605Up,a670602uS | 0 | 0 | 0 | 0 | 0.25 |
| a6732002X,a673200WF | 0 | 0 | 0 | 0 | 0.25 |
| a6732002X,a673201@y | 0 | 0 | 0 | 0 | 0.25 |
| a673200tm,a673201j7 | 0 | 0 | 0 | 0 | 0.25 |
| a673201@y,673200WF | 0 | 0 | 0 | 0 | 0.25 |
| a673201Wt,a6732025y | 0 | 0 | 0 | 0 | 0.25 |
| a673201wI,a678701pI | 0 | 0 | 0 | 0 | 0.6666 |
| a67340327,a681001KN | 0 | 0 | 0 | 0 | 0.25 |
| a677505bO,a677505pe | 0 | 0 | 0 | 0 | 0.25 |
| a683104@Y,677505bO | 0 | 0 | 0 | 0 | 0.6666 | | | a683104@Y,a677505pe | 0 | 0 | 0 | 0 | 0.6666 |
| --- | --- | --- | --- | --- | --- |
| a673201wI,a777805mH | 0 | 0 | 0 | 0 | 0.25 |
| a673402zw,a683105Bk | 0 | 0 | 0 | 0 | 0.25 |
| a678701pI,a777805mH | 0 | 0 | 0 | 0 | 0.25 |
| a791600uB,a777806FG | 0 | 0 | 0 | 0 | 0.25 |
| a7916065T,a777800Gj | 0 | 0 | 0 | 0 | 0.25 | | 1 |
| patient’sID | Euclidean | Minkowski | Manhattan | Hamming | EditDistance |
| --- | --- | --- | --- | --- | --- |
| a670605Up,a670602uS | 0 | 0 | 0 | 0 | 0.25 |
| a6732002X,a673200WF | 0 | 0 | 0 | 0 | 0.25 |
| a6732002X,a673201@y | 0 | 0 | 0 | 0 | 0.25 |
| a673200tm,a673201j7 | 0 | 0 | 0 | 0 | 0.25 |
| a673201@y,673200WF | 0 | 0 | 0 | 0 | 0.25 |
| a673201Wt,a6732025y | 0 | 0 | 0 | 0 | 0.25 |
| a673201wI,a678701pI | 0 | 0 | 0 | 0 | 0.6666 |
| a67340327,a681001KN | 0 | 0 | 0 | 0 | 0.25 |
| a677505bO,a677505pe | 0 | 0 | 0 | 0 | 0.25 |
| a683104@Y,677505bO | 0 | 0 | 0 | 0 | 0.6666 | | | Patient’sID | ThemedicaleventsForthefirstpatient |
| --- | --- |
| a670605Up,a670602uS | 1B8 |
| a6732002X,a673200WF | 17Z |
| a6732002X,a673201@y | 17Z |
| a673200tm,a673201j7 | ZL5 |
| a673201@y,673200WF | 17Z |
| a673201Wt,a6732025y | 740 |
| a673201wI,a678701pI | H05 |
| a67340327,a681001KN | 171 |
| a677505bO,a677505pe | 8B3 |
| a683104@Y,677505bO | 8B3 |
| a683104@Y,a677505pe | 8B3 |
| a673201wI,a777805mH | H05 |
| a673402zw,a683105Bk | H17,8B3 |
| a678701pI,a777805mH | H05 |
| a791600uB,a777806FG | H17 |
| a7916065T,a777800Gj | A78 | | 0 |
| patient’sID | Euclidean | Minkowski | Manhattan | Hamming | EditDistance |
| --- | --- | --- | --- | --- | --- |
| a670605Up,a670602uS | 0 | 0 | 0 | 0 | 0.25 |
| a6732002X,a673200WF | 0 | 0 | 0 | 0 | 0.25 |
| a6732002X,a673201@y | 0 | 0 | 0 | 0 | 0.25 |
| a673200tm,a673201j7 | 0 | 0 | 0 | 0 | 0.25 |
| a673201@y,673200WF | 0 | 0 | 0 | 0 | 0.25 |
| a673201Wt,a6732025y | 0 | 0 | 0 | 0 | 0.25 |
| a673201wI,a678701pI | 0 | 0 | 0 | 0 | 0.6666 |
| a67340327,a681001KN | 0 | 0 | 0 | 0 | 0.25 |
| a677505bO,a677505pe | 0 | 0 | 0 | 0 | 0.25 |
| a683104@Y,677505bO | 0 | 0 | 0 | 0 | 0.6666 |
| a683104@Y,a677505pe | 0 | 0 | 0 | 0 | 0.6666 |
| a673201wI,a777805mH | 0 | 0 | 0 | 0 | 0.25 |
| a673402zw,a683105Bk | 0 | 0 | 0 | 0 | 0.25 | | | a678701pI,a777805mH | 0 | 0 | 0 | 0 | 0.25 |
| --- | --- | --- | --- | --- | --- |
| a791600uB,a777806FG | 0 | 0 | 0 | 0 | 0.25 |
| a7916065T,a777800Gj | 0 | 0 | 0 | 0 | 0.25 | | 1 |
| patient’sID | Euclidean | Minkowski | Manhattan | Hamming | EditDistance |
| --- | --- | --- | --- | --- | --- |
| a670605Up,a670602uS | 0 | 0 | 0 | 0 | 0.25 |
| a6732002X,a673200WF | 0 | 0 | 0 | 0 | 0.25 |
| a6732002X,a673201@y | 0 | 0 | 0 | 0 | 0.25 |
| a673200tm,a673201j7 | 0 | 0 | 0 | 0 | 0.25 |
| a673201@y,673200WF | 0 | 0 | 0 | 0 | 0.25 |
| a673201Wt,a6732025y | 0 | 0 | 0 | 0 | 0.25 |
| a673201wI,a678701pI | 0 | 0 | 0 | 0 | 0.6666 |
| a67340327,a681001KN | 0 | 0 | 0 | 0 | 0.25 |
| a677505bO,a677505pe | 0 | 0 | 0 | 0 | 0.25 |
| a683104@Y,677505bO | 0 | 0 | 0 | 0 | 0.6666 |
| a683104@Y,a677505pe | 0 | 0 | 0 | 0 | 0.6666 |
| a673201wI,a777805mH | 0 | 0 | 0 | 0 | 0.25 |
| a673402zw,a683105Bk | 0 | 0 | 0 | 0 | 0.25 | | | a677505bO,a677505pe | 8B3 |
| --- | --- |
| a683104@Y,677505bO | 8B3 |
| a683104@Y,a677505pe | 8B3 |
| a673201wI,a777805mH | H05 |
| a673402zw,a683105Bk | H17,8B3 |
| a678701pI,a777805mH | H05 |
| a791600uB,a777806FG | H17 |
| a7916065T,a777800Gj | A78 | | 0 |
| Dataset | Frenquency(Hz) | #Sensors | #Activities | #Subjects | #Trials |
| --- | --- | --- | --- | --- | --- |
| MHEALTH | 50 | 3(Acc,Gyro,Mag) | 12 | 10 | 262 |
| PAMAP2 | 100 | 4(Acc,Gyro,Mag,Temp) | 12 | 10 | 108 |
| USCHAD | 100 | 2(AccandGyro) | 12 | 15 | 840 |
| UTD-MHAD1 | 50 | 2(Acc,Gyro) | 21 | 9 | 617 | | | UTD-MHAD2 | 50 | 2(Acc,Gyro) | 5 | 9 | 190 |
| --- | --- | --- | --- | --- | --- |
| WHARF | 32 | 1(Acc) | 12 | 17 | 884 |
| WISDM | 20 | 1(Acc) | 7 | 36 | 402 | | 1 |
| Dataset | Frenquency(Hz) | #Sensors | #Activities | #Subjects | #Trials |
| --- | --- | --- | --- | --- | --- |
| MHEALTH | 50 | 3(Acc,Gyro,Mag) | 12 | 10 | 262 |
| PAMAP2 | 100 | 4(Acc,Gyro,Mag,Temp) | 12 | 10 | 108 |
| USCHAD | 100 | 2(AccandGyro) | 12 | 15 | 840 |
| UTD-MHAD1 | 50 | 2(Acc,Gyro) | 21 | 9 | 617 | | | Dataset | logβ | α | τ |
| --- | --- | --- | --- |
| N=50 | | | |
| SL | 2.39(0.17) | 0.31(0.02) | 0.98(0.02) |
| BP | 0.93(0.12) | 0.08(0.04) | 0.92(0.00) |
| MN | 1.66(0.16) | 0.03(0.01) | 0.72(0.04) |
| WK | −0.21(0.81) | 0.00(0.00) | 0.40(0.19) |
| N=5000 | | | |
| SL | 2.39(0.01) | 0.31(0.01) | 0.98(0.00) |
| BP | 0.96(0.02) | 0.08(0.00) | 0.92(0.00) |
| MN | 1.69(0.03) | 0.02(0.00) | 0.74(0.01) |
| WK | 0.39(0.22) | 0.00(0.00) | 0.60(0.01) | | 0 |
| Dataset | Frenquency(Hz) | #Sensors | #Activities | #Subjects | #Trials |
| --- | --- | --- | --- | --- | --- |
| MHEALTH | 50 | 3(Acc,Gyro,Mag) | 12 | 10 | 262 | | | PAMAP2 | 100 | 4(Acc,Gyro,Mag,Temp) | 12 | 10 | 108 |
| --- | --- | --- | --- | --- | --- |
| USCHAD | 100 | 2(AccandGyro) | 12 | 15 | 840 |
| UTD-MHAD1 | 50 | 2(Acc,Gyro) | 21 | 9 | 617 |
| UTD-MHAD2 | 50 | 2(Acc,Gyro) | 5 | 9 | 190 |
| WHARF | 32 | 1(Acc) | 12 | 17 | 884 |
| WISDM | 20 | 1(Acc) | 7 | 36 | 402 | | 1 |
| Dataset | Frenquency(Hz) | #Sensors | #Activities | #Subjects | #Trials |
| --- | --- | --- | --- | --- | --- |
| MHEALTH | 50 | 3(Acc,Gyro,Mag) | 12 | 10 | 262 | | | WK | −0.21(0.81) | 0.00(0.00) | 0.40(0.19) |
| --- | --- | --- | --- |
| N=5000 | | | |
| SL | 2.39(0.01) | 0.31(0.01) | 0.98(0.00) |
| BP | 0.96(0.02) | 0.08(0.00) | 0.92(0.00) |
| MN | 1.69(0.03) | 0.02(0.00) | 0.74(0.01) |
| WK | 0.39(0.22) | 0.00(0.00) | 0.60(0.01) | | 0 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames |
| π | 1in5 | Commoninmath | | | $ | 4in5 | Usedinbusiness |
| --- | --- | --- |
| Ψ | 1in40,000 | Unexplainedusage | | 1 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames |
| π | 1in5 | Commoninmath | | | Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames |
| π | 1in5 | Commoninmath |
| $ | 4in5 | Usedinbusiness |
| Ψ | 1in40,000 | Unexplainedusage | | 0 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames | | | π | 1in5 | Commoninmath |
| --- | --- | --- |
| $ | 4in5 | Usedinbusiness |
| Ψ | 1in40,000 | Unexplainedusage | | 1 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames | | | $ | 4in5 | Usedinbusiness |
| --- | --- | --- |
| Ψ | 1in40,000 | Unexplainedusage | | 0 |
| (a)Digg:correlation | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| filter | #edges | CN | JC | AA | CS | CSAL | NC | NCAL |
| co-votes¡200<br>co-votes¡400<br>co-votes¡800<br>all | 1,410,590<br>1,429,712<br>1,438,320<br>1,439,842 | 0.256<br>0.277<br>0.283<br>0.279 | 0.129<br>0.158<br>0.170<br>0.163 | 0.232<br>0.246<br>0.249<br>0.246 | 0.015<br>0.019<br>0.024<br>0.025 | -0.010<br>-0.009<br>-0.008<br>-0.008 | 0.256<br>0.277<br>0.283<br>0.279 | -0.028<br>-0.027<br>-0.025<br>-0.023 | | | (b)Twitter:correlation | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | #edges | CN | JC | AA | CS | CSAL | NC | NCAL |
| | 28M | -0.769 | -0.339 | -0.755 | 0.523 | 0.350 | -0.769 | 0.406 | | 1 |
| (a)Digg:correlation | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| filter | #edges | CN | JC | AA | CS | CSAL | NC | NCAL |
| co-votes¡200<br>co-votes¡400<br>co-votes¡800<br>all | 1,410,590<br>1,429,712<br>1,438,320<br>1,439,842 | 0.256<br>0.277<br>0.283<br>0.279 | 0.129<br>0.158<br>0.170<br>0.163 | 0.232<br>0.246<br>0.249<br>0.246 | 0.015<br>0.019<br>0.024<br>0.025 | -0.010<br>-0.009<br>-0.008<br>-0.008 | 0.256<br>0.277<br>0.283<br>0.279 | -0.028<br>-0.027<br>-0.025<br>-0.023 | | | Network | #Predicted | Size | #Matched | #Derivable | #Derived | Pr |
| --- | --- | --- | --- | --- | --- | --- |
| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 294<br>338<br>102<br>138<br>261<br>429 | 7.96<br>8.66<br>15.88<br>17.14<br>10.52<br>13.01 | 29<br>19<br>29<br>33<br>42<br>57 | 155<br>164<br>119<br>122<br>158<br>164 | 38<br>23<br>38<br>44<br>54<br>56 | 0.098<br>0.056<br>0.284<br>0.239<br>0.161<br>0.133 |
| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 297<br>342<br>136<br>141<br>296<br>484 | 7.94<br>8.34<br>9.46<br>7.44<br>9.98<br>8.72 | 39<br>25<br>41<br>48<br>49<br>81 | 155<br>164<br>119<br>122<br>158<br>164 | 49<br>29<br>57<br>61<br>61<br>71 | 0.131<br>0.073<br>0.301<br>0.340<br>0.166<br>0.167 |
| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 156<br>306<br>136<br>252<br>127<br>429 | 11.42<br>14.39<br>12.44<br>8.91<br>11.66<br>9.80 | 41<br>33<br>36<br>51<br>45<br>80 | 155<br>164<br>119<br>122<br>158<br>164 | 56<br>41<br>48<br>63<br>60<br>66 | 0.263<br>0.108<br>0.265<br>0.202<br>0.354<br>0.186 |
| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 414<br>510<br>111<br>131<br>269<br>419 | 5.98<br>6.68<br>10.17<br>8.90<br>7.49<br>7.61 | 34<br>28<br>39<br>43<br>55<br>79 | 155<br>164<br>119<br>122<br>158<br>164 | 41<br>34<br>54<br>60<br>67<br>74 | 0.082<br>0.055<br>0.351<br>0.328<br>0.204<br>0.189 | | 0 |
| (a)Digg:correlation | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| filter | #edges | CN | JC | AA | CS | CSAL | NC | NCAL |
| co-votes¡200<br>co-votes¡400<br>co-votes¡800<br>all | 1,410,590<br>1,429,712<br>1,438,320<br>1,439,842 | 0.256<br>0.277<br>0.283<br>0.279 | 0.129<br>0.158<br>0.170<br>0.163 | 0.232<br>0.246<br>0.249<br>0.246 | 0.015<br>0.019<br>0.024<br>0.025 | -0.010<br>-0.009<br>-0.008<br>-0.008 | 0.256<br>0.277<br>0.283<br>0.279 | -0.028<br>-0.027<br>-0.025<br>-0.023 |
| (b)Twitter:correlation | | | | | | | | | | | | #edges | CN | JC | AA | CS | CSAL | NC | NCAL |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | 28M | -0.769 | -0.339 | -0.755 | 0.523 | 0.350 | -0.769 | 0.406 | | 1 |
| (a)Digg:correlation | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| filter | #edges | CN | JC | AA | CS | CSAL | NC | NCAL |
| co-votes¡200<br>co-votes¡400<br>co-votes¡800<br>all | 1,410,590<br>1,429,712<br>1,438,320<br>1,439,842 | 0.256<br>0.277<br>0.283<br>0.279 | 0.129<br>0.158<br>0.170<br>0.163 | 0.232<br>0.246<br>0.249<br>0.246 | 0.015<br>0.019<br>0.024<br>0.025 | -0.010<br>-0.009<br>-0.008<br>-0.008 | 0.256<br>0.277<br>0.283<br>0.279 | -0.028<br>-0.027<br>-0.025<br>-0.023 |
| (b)Twitter:correlation | | | | | | | | | | | P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 156<br>306<br>136<br>252<br>127<br>429 | 11.42<br>14.39<br>12.44<br>8.91<br>11.66<br>9.80 | 41<br>33<br>36<br>51<br>45<br>80 | 155<br>164<br>119<br>122<br>158<br>164 | 56<br>41<br>48<br>63<br>60<br>66 | 0.263<br>0.108<br>0.265<br>0.202<br>0.354<br>0.186 |
| --- | --- | --- | --- | --- | --- | --- |
| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 414<br>510<br>111<br>131<br>269<br>419 | 5.98<br>6.68<br>10.17<br>8.90<br>7.49<br>7.61 | 34<br>28<br>39<br>43<br>55<br>79 | 155<br>164<br>119<br>122<br>158<br>164 | 41<br>34<br>54<br>60<br>67<br>74 | 0.082<br>0.055<br>0.351<br>0.328<br>0.204<br>0.189 | | 0 |
| Signaltypes | Significanceofthesymbol |
| --- | --- |
| visit | OnarrivalofthissignalanodeofFTG(G)wakeupandstartsprocessing. | | | visitNode | OnarrivalofthissignalanodeofGwakeupandstartsprocessing. |
| --- | --- |
| child | AnodeinGsendsasignaltoitsparenttoregisteritselfasachildinparent.child |
| cycle | AnodeinGorFTG(G)sendsasignalonidentificationofanelementarybar.cycle | | 1 |
| Signaltypes | Significanceofthesymbol |
| --- | --- |
| visit | OnarrivalofthissignalanodeofFTG(G)wakeupandstartsprocessing. | | | Signals | Description |
| --- | --- |
| clk | Thisistheglobalclocksignal |
| resetn | Activelowsystemreset |
| rin[7:0] | Redcolorcomponent |
| gin[7:0] | Greencolorcomponent |
| bin[7:0] | Bluecolorcomponent |
| ro[7:0] | Enhancedredcolorcomponent |
| go[7:0] | EnhancedGreencolorcomponent |
| bo[7:0] | EnhancedBluecolorcomponent |
| pixelvalid | ValidsignalforenhancedRGBpixel | | 0 |
| Signaltypes | Significanceofthesymbol |
| --- | --- |
| visit | OnarrivalofthissignalanodeofFTG(G)wakeupandstartsprocessing. | | | visitNode | OnarrivalofthissignalanodeofGwakeupandstartsprocessing. |
| --- | --- |
| child | AnodeinGsendsasignaltoitsparenttoregisteritselfasachildinparent.child |
| cycle | AnodeinGorFTG(G)sendsasignalonidentificationofanelementarybar.cycle | | 1 |
| Signaltypes | Significanceofthesymbol |
| --- | --- |
| visit | OnarrivalofthissignalanodeofFTG(G)wakeupandstartsprocessing. | | | go[7:0] | EnhancedGreencolorcomponent |
| --- | --- |
| bo[7:0] | EnhancedBluecolorcomponent |
| pixelvalid | ValidsignalforenhancedRGBpixel | | 0 |
| 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 | | 1 |
| Symbol | Meaning |
| --- | --- |
| n | Numberofpatterns |
| p | Numberofinputs(features)inapattern |
| m | Numberofcolumns |
| q | Numberofproximalsynapsespercolumn |
| φ+ | Permanenceincrementamount |
| φ− | Permanencedecrementamount |
| φσ | Windowofpermanenceinitialization |
| ρs | Proximalsynapseactivationtreshold |
| ρd | Proximaldendritesegmentactivationtreshold |
| ρc | Desiredcolumnactivitylevel | | | Name | Description |
| --- | --- |
| αR | overheadareaperkBofregister-memorypervector-unit |
| αM | overheadareaperkBofshared-memoryperSM |
| αL1 | L1cacheoverheadareaperSM-pair |
| αL2 | L2cacheoverheadarea |
| αoh | commonoverheadarea(I/O,globalroutingetc)perSM |
| βR | areaperregister-file-bankperkBpervector-unit |
| βM | areapershared-memory-bankperkBperSM |
| βL1 | L1cacheareaperkBperSM-pair |
| βL2 | L2cacheareaperkB |
| βVU | core-logicareawithinavector-unit |
| nSM | totalnumberofSMontheGPUchip |
| nV | numberofvector-unitsperSM |
| RVU | kBofregisterfilespervector-unit |
| MSM | kBofsharedmemoryperSM |
| L1SMpair | kBofL1cacheperSM-pair |
| L2SM | kBofL2cache |
| Atot | totalGPUchipdiearea |
| ASM | totalshared-memorydiearea |
| Acache | totalcachediearea |
| Aoh | totalon-chipoverheaddiearea |
| ALSU | totalload-storeunitdiearea |
| ASFU | totalspecial-functionunitdiearea |
| AFDU | totalfetch-decodeunitdiearea |
| AIcache | totalinstruction-cachediearea |
| ALSUperSM | load-storeunitdieareaperSM |
| ALSUperV | load-storeunitdieareapervector-unit |
| AMperSM | memorydieareaperSM |
| ASFUperV | special-functionunitdieareapervector-unit | | 0 |
| 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 | | 1 |
| Symbol | Meaning |
| --- | --- |
| n | Numberofpatterns |
| p | Numberofinputs(features)inapattern |
| m | Numberofcolumns |
| q | Numberofproximalsynapsespercolumn | | | AIcache | totalinstruction-cachediearea |
| --- | --- |
| ALSUperSM | load-storeunitdieareaperSM |
| ALSUperV | load-storeunitdieareapervector-unit |
| AMperSM | memorydieareaperSM |
| ASFUperV | special-functionunitdieareapervector-unit | | 0 |
| Department | Kendalτ |
| --- | --- |
| AEGEANICSD | 0.27 |
| AUEBDI | 0.17 |
| AUTHDI | 0.37 | | | AUTHECE | 0.34 |
| --- | --- |
| CRETECSD | 0.40 |
| CRETEECE | 0.50 |
| IOANCSE | 0.58 |
| IONIODI | 0.63 |
| NTUAECE | −0.04 |
| PATRASECE | 0.03 |
| PELOPDI | 0.71 |
| UADI | 0.39 |
| UNIPIDI | 0.11 |
| UTHDIB | 0.54 |
| UTHECE | −0.03 |
| ALLDEPTS | 0.08 | | 1 |
| Department | Kendalτ |
| --- | --- |
| AEGEANICSD | 0.27 |
| AUEBDI | 0.17 |
| AUTHDI | 0.37 | | | Department | median#articles | Department | avg#articles |
| --- | --- | --- | --- |
| CRETEECE | 20 | AUTHDI | 32.6 |
| AUTHDI | 18 | CRETEECE | 31.1 |
| CRETECSD | 18 | CRETECSD | 28.6 |
| UTHECE | 15 | PATRASECE | 25.0 |
| AEGEANICSD | 14 | NTUAECE | 21.7 |
| PELOPDI | 14 | AEGEANICSD | 20.6 |
| AUTHECE | 13 | PELOPDI | 19.7 |
| IOANCSE | 13 | UTHECE | 19.7 |
| PATRASECE | 13 | AUTHECE | 19.4 |
| UTHDIB | 12 | IONIODI | 18.8 |
| NTUAECE | 11 | IOANCSE | 18.0 |
| UADI | 11 | UADI | 17.4 |
| AUEBDI | 10 | AUEBDI | 17.2 |
| IONIODI | 9 | UNIPIDI | 12.8 |
| UNIPIDI | 7 | UTHDIB | 12.2 | | 0 |
| Department | Kendalτ |
| --- | --- |
| AEGEANICSD | 0.27 |
| AUEBDI | 0.17 |
| AUTHDI | 0.37 |
| AUTHECE | 0.34 |
| CRETECSD | 0.40 | | | CRETEECE | 0.50 |
| --- | --- |
| IOANCSE | 0.58 |
| IONIODI | 0.63 |
| NTUAECE | −0.04 |
| PATRASECE | 0.03 |
| PELOPDI | 0.71 |
| UADI | 0.39 |
| UNIPIDI | 0.11 |
| UTHDIB | 0.54 |
| UTHECE | −0.03 |
| ALLDEPTS | 0.08 | | 1 |
| Department | Kendalτ |
| --- | --- |
| AEGEANICSD | 0.27 |
| AUEBDI | 0.17 |
| AUTHDI | 0.37 |
| AUTHECE | 0.34 |
| CRETECSD | 0.40 | | | UTHDIB | 12 | IONIODI | 18.8 |
| --- | --- | --- | --- |
| NTUAECE | 11 | IOANCSE | 18.0 |
| UADI | 11 | UADI | 17.4 |
| AUEBDI | 10 | AUEBDI | 17.2 |
| IONIODI | 9 | UNIPIDI | 12.8 |
| UNIPIDI | 7 | UTHDIB | 12.2 | | 0 |
| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| hiva | 7 | 6 | 9 | 7 | 8 | 30/30 | 30/25 | 20/15 | | | ohsumed | 26 | 26 | 38 | 37 | 8 | 30/10 | 20/5 | 30/5 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| acpj | 16 | 16 | - | - | 10 | 30/15 | 30/5 | 20/5 |
| sido0 | 16 | 17 | 62 | 68 | 10 | 30/30 | 30/30 | 5/25 |
| thrombin | 15 | 11 | 38 | 42 | 7 | 30/30 | 25/30 | 30/25 |
| infant | 5 | 5 | 7 | 6 | 3 | 20/25 | 10/30 | 25/10 | | 1 |
| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| hiva | 7 | 6 | 9 | 7 | 8 | 30/30 | 30/25 | 20/15 | | | Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| hiva | 2 | 2 | 40 | 15 | 13 | 1 | 1 | 4 |
| ohsumed | 61 | 54 | 563 | 577 | 89 | 32 | 2 | 50 |
| acpj | 29 | 3 | - | - | 905 | 136 | 9 | 175 |
| sido0 | 33 | 77 | 8,928 | 8,669 | 206 | 5 | 2 | 13 |
| thrombin | 544 | 133 | 23,456 | 17,615 | 1429 | 241 | 11 | 291 |
| infant | 1 | 1 | 1 | 1 | 0.5 | 0.1 | 0.01 | 0.1 | | 0 |
| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| hiva | 7 | 6 | 9 | 7 | 8 | 30/30 | 30/25 | 20/15 |
| ohsumed | 26 | 26 | 38 | 37 | 8 | 30/10 | 20/5 | 30/5 |
| acpj | 16 | 16 | - | - | 10 | 30/15 | 30/5 | 20/5 |
| sido0 | 16 | 17 | 62 | 68 | 10 | 30/30 | 30/30 | 5/25 | | | thrombin | 15 | 11 | 38 | 42 | 7 | 30/30 | 25/30 | 30/25 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| infant | 5 | 5 | 7 | 6 | 3 | 20/25 | 10/30 | 25/10 | | 1 |
| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| hiva | 7 | 6 | 9 | 7 | 8 | 30/30 | 30/25 | 20/15 |
| ohsumed | 26 | 26 | 38 | 37 | 8 | 30/10 | 20/5 | 30/5 |
| acpj | 16 | 16 | - | - | 10 | 30/15 | 30/5 | 20/5 |
| sido0 | 16 | 17 | 62 | 68 | 10 | 30/30 | 30/30 | 5/25 | | | ohsumed | 61 | 54 | 563 | 577 | 89 | 32 | 2 | 50 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| acpj | 29 | 3 | - | - | 905 | 136 | 9 | 175 |
| sido0 | 33 | 77 | 8,928 | 8,669 | 206 | 5 | 2 | 13 |
| thrombin | 544 | 133 | 23,456 | 17,615 | 1429 | 241 | 11 | 291 |
| infant | 1 | 1 | 1 | 1 | 0.5 | 0.1 | 0.01 | 0.1 | | 0 |
| Datasets | | | | |
| --- | --- | --- | --- | --- |
| AIDAtestA | AIDAtestB | | | |
| Systems | R@MI | R@MA | R@MI | R@MA | | | LocalMention | 69.73 | 69.30 | 67.98 | 72.75 |
| --- | --- | --- | --- | --- |
| Unnorm | 69.77 | 69.95 | 75.87 | 75.12 |
| Rescaled | 75.09 | 74.25 | 74.76 | 78.28 |
| LocalContext | 82.50 | 81.56 | 85.46 | 84.08 |
| PBoH | 85.53 | 85.09 | 87.51 | 86.39 | | 1 |
| Datasets | | | | |
| --- | --- | --- | --- | --- |
| AIDAtestA | AIDAtestB | | | |
| Systems | R@MI | R@MA | R@MI | R@MA | | | Dataset | c | DPBook | EM | SVT | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1:1 | 1:3 | 1:k | 1:k | 1:1 | | | | |
| BMS-PO | 50 | 0.061 | 0.001 | 0.010 | 0.008 | 0.015 | 0.008 | 0.002 |
| 100 | 0.561 | 0.006 | 0.242 | 0.087 | 0.070 | 0.046 | 0.049 | |
| 150 | 0.674 | 0.048 | 0.502 | 0.339 | 0.243 | 0.209 | 0.184 | |
| 200 | 0.691 | 0.093 | 0.632 | 0.571 | 0.518 | 0.481 | 0.302 | |
| 250 | 0.658 | 0.123 | 0.645 | 0.596 | 0.574 | 0.554 | 0.312 | |
| 300 | 0.619 | 0.140 | 0.645 | 0.599 | 0.557 | 0.581 | 0.283 | |
| Kosarak | 50 | 0.731 | 0.000 | 0.027 | 0.010 | 0.008 | 0.006 | 0.004 |
| 100 | 0.984 | 0.033 | 0.932 | 0.658 | 0.346 | 0.398 | 0.777 | |
| 150 | 0.986 | 0.139 | 0.974 | 0.932 | 0.836 | 0.850 | 0.931 | |
| 200 | 0.987 | 0.218 | 0.981 | 0.969 | 0.936 | 0.955 | 0.958 | |
| 250 | 0.984 | 0.273 | 0.980 | 0.975 | 0.963 | 0.963 | 0.960 | |
| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 | |
| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |
| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 | |
| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 | |
| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 | |
| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 | |
| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 | | | 0 |
| Datasets | |
| --- | --- |
| AIDAtestA | AIDAtestB | | | Systems | R@MI | R@MA | R@MI | R@MA |
| --- | --- | --- | --- | --- |
| LocalMention | 69.73 | 69.30 | 67.98 | 72.75 |
| Unnorm | 69.77 | 69.95 | 75.87 | 75.12 |
| Rescaled | 75.09 | 74.25 | 74.76 | 78.28 |
| LocalContext | 82.50 | 81.56 | 85.46 | 84.08 |
| PBoH | 85.53 | 85.09 | 87.51 | 86.39 | | 1 |
| Datasets | |
| --- | --- |
| AIDAtestA | AIDAtestB | | | 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 |
| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 |
| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 | | 0 |
| Trainingexamples<br>perbin | TrainRMSE<br>PCAIPCAPPCASPCA | TestRMSE<br>PCAIPCAPPCASPCA |
| --- | --- | --- |
| 2 | 0.0000.0000.0070.031 | 0.1850.2110.1930.192 | | | 10 | 0.0210.0000.0150.062 | 0.0730.0730.0700.091 |
| --- | --- | --- |
| 20 | 0.0350.0270.0300.063 | 0.0560.0570.0560.075 |
| 50 | 0.0410.0370.0380.057 | 0.0500.0500.0490.070 |
| 100 | 0.0430.0390.0400.059 | 0.0470.0470.0470.066 |
| 200 | 0.0440.0410.0420.064 | 0.0450.0450.0440.068 | | 1 |
| Trainingexamples<br>perbin | TrainRMSE<br>PCAIPCAPPCASPCA | TestRMSE<br>PCAIPCAPPCASPCA |
| --- | --- | --- |
| 2 | 0.0000.0000.0070.031 | 0.1850.2110.1930.192 | | | Trainingexamples<br>perbin | TrainRMSE<br>PCAIPCAPPCASPCA | TestRMSE<br>PCAIPCAPPCASPCA |
| --- | --- | --- |
| 2 | 0.2580.0000.1012.624 | 2.0482.9802.3332.741 |
| 10 | 1.5250.6441.3782.200 | 1.7532.0051.7772.023 |
| 20 | 1.6301.2621.5862.079 | 1.6811.8551.6911.921 |
| 30 | 1.6271.3861.5971.850 | 1.6521.7741.6551.754 | | 0 |
| Trainingexamples<br>perbin | TrainRMSE<br>PCAIPCAPPCASPCA | TestRMSE<br>PCAIPCAPPCASPCA |
| --- | --- | --- |
| 2 | 0.0000.0000.0070.031 | 0.1850.2110.1930.192 |
| 10 | 0.0210.0000.0150.062 | 0.0730.0730.0700.091 | | | 20 | 0.0350.0270.0300.063 | 0.0560.0570.0560.075 |
| --- | --- | --- |
| 50 | 0.0410.0370.0380.057 | 0.0500.0500.0490.070 |
| 100 | 0.0430.0390.0400.059 | 0.0470.0470.0470.066 |
| 200 | 0.0440.0410.0420.064 | 0.0450.0450.0440.068 | | 1 |
| Trainingexamples<br>perbin | TrainRMSE<br>PCAIPCAPPCASPCA | TestRMSE<br>PCAIPCAPPCASPCA |
| --- | --- | --- |
| 2 | 0.0000.0000.0070.031 | 0.1850.2110.1930.192 |
| 10 | 0.0210.0000.0150.062 | 0.0730.0730.0700.091 | | | 20 | 1.6301.2621.5862.079 | 1.6811.8551.6911.921 |
| --- | --- | --- |
| 30 | 1.6271.3861.5971.850 | 1.6521.7741.6551.754 | | 0 |
| m | 2,000 | 4,000 | 6,000 | 8,000 | 10,000 |
| --- | --- | --- | --- | --- | --- |
| CW | 99min | 102min | 121min | 155min | 190min |
| QC | 0.985 | 0.994 | 0.995 | 0.995 | 0.997 | | | CC | 95min | 123min | 132min | 141min | 151min |
| --- | --- | --- | --- | --- | --- |
| QD | 0.92 | 0.96 | 0.97 | 0.97 | 0.98 | | 1 |
| m | 2,000 | 4,000 | 6,000 | 8,000 | 10,000 |
| --- | --- | --- | --- | --- | --- |
| CW | 99min | 102min | 121min | 155min | 190min |
| QC | 0.985 | 0.994 | 0.995 | 0.995 | 0.997 | | | b | 7 | 9 | 10 | 12 |
| --- | --- | --- | --- | --- |
| CW | 81min | 92min | 103min | 124min |
| QC | 0.99 | 0.994 | 0.993 | 0.991 |
| CC | 102min | 123min | 128min | 131min |
| QD | 0.94 | 0.96 | 0.95 | 0.94 | | 0 |
| m | 2,000 | 4,000 | 6,000 | 8,000 | 10,000 |
| --- | --- | --- | --- | --- | --- |
| CW | 99min | 102min | 121min | 155min | 190min |
| QC | 0.985 | 0.994 | 0.995 | 0.995 | 0.997 | | | CC | 95min | 123min | 132min | 141min | 151min |
| --- | --- | --- | --- | --- | --- |
| QD | 0.92 | 0.96 | 0.97 | 0.97 | 0.98 | | 1 |
| m | 2,000 | 4,000 | 6,000 | 8,000 | 10,000 |
| --- | --- | --- | --- | --- | --- |
| CW | 99min | 102min | 121min | 155min | 190min |
| QC | 0.985 | 0.994 | 0.995 | 0.995 | 0.997 | | | CC | 102min | 123min | 128min | 131min |
| --- | --- | --- | --- | --- |
| QD | 0.94 | 0.96 | 0.95 | 0.94 | | 0 |
| Protocol | numberofclients |
| --- | --- |
| 70012 | 6655 |
| 70002 | 3013 |
| N/A | 771 |
| 7000 | 1153 |
| 70013 | 88 |
| 70010 | 78 |
| 80001 | 71 |
| 70011 | 68 |
| 80000 | 24 |
| 99999 | 4 |
| 50400 | 2 |
| 70014 | 2 |
| 60000 | 1 |
| 70003 | 1 | | | 60002 | 1 |
| --- | --- |
| 80002 | 1 | | 1 |
| Protocol | numberofclients |
| --- | --- |
| 70012 | 6655 |
| 70002 | 3013 |
| N/A | 771 |
| 7000 | 1153 |
| 70013 | 88 |
| 70010 | 78 |
| 80001 | 71 |
| 70011 | 68 |
| 80000 | 24 |
| 99999 | 4 |
| 50400 | 2 |
| 70014 | 2 |
| 60000 | 1 |
| 70003 | 1 | | | NetworkgroupID | N | minc | maxc | µ | On |
| --- | --- | --- | --- | --- | --- |
| N1 | 1000 | 10 | 50 | 0-0.5 | 100 |
| N2 | 1000 | 20 | 100 | 0-0.5 | 100 |
| N3 | 5000 | 10 | 50 | 0-0.5 | 500 |
| N4 | 5000 | 20 | 100 | 0-0.5 | 500 |
| N5 | 1000 | 10 | 50 | 0.1 | 0-500 |
| N6 | 1000 | 20 | 100 | 0.1 | 0-500 |
| N7 | 5000 | 10 | 50 | 0.1 | 0-2000 |
| N8 | 5000 | 20 | 100 | 0.1 | 0-2000 | | 0 |
| Protocol | numberofclients |
| --- | --- |
| 70012 | 6655 |
| 70002 | 3013 |
| N/A | 771 |
| 7000 | 1153 |
| 70013 | 88 |
| 70010 | 78 |
| 80001 | 71 |
| 70011 | 68 | | | 80000 | 24 |
| --- | --- |
| 99999 | 4 |
| 50400 | 2 |
| 70014 | 2 |
| 60000 | 1 |
| 70003 | 1 |
| 60002 | 1 |
| 80002 | 1 | | 1 |
| Protocol | numberofclients |
| --- | --- |
| 70012 | 6655 |
| 70002 | 3013 |
| N/A | 771 |
| 7000 | 1153 |
| 70013 | 88 |
| 70010 | 78 |
| 80001 | 71 |
| 70011 | 68 | | | N5 | 1000 | 10 | 50 | 0.1 | 0-500 |
| --- | --- | --- | --- | --- | --- |
| N6 | 1000 | 20 | 100 | 0.1 | 0-500 |
| N7 | 5000 | 10 | 50 | 0.1 | 0-2000 |
| N8 | 5000 | 20 | 100 | 0.1 | 0-2000 | | 0 |
| TotalNodes | 8 | Packetsize | 2000bytes |
| --- | --- | --- | --- |
| DataSlots | 17 | PacketgenerationInterval | 1msec |
| Tc | 1.5msec | Queuelength | 100 | | | Td | 2msec | Routing | AODV |
| --- | --- | --- | --- |
| Ta | 0.5msec | Simulationtime | 20sec |
| Tq | 20msec | Source | CBR |
| Flow1 | PI21 | Flow3 | PI9 |
| Flow2 | PI15 | Flow4 | Pi3 |
| Throughputflow1 | 130.03kbps | Throughputflow3 | 71.76kbps |
| Throughputflow2 | 81.71kbps | Throughputflow4 | 59.68kbps | | 1 |
| TotalNodes | 8 | Packetsize | 2000bytes |
| --- | --- | --- | --- |
| DataSlots | 17 | PacketgenerationInterval | 1msec |
| Tc | 1.5msec | Queuelength | 100 | | | TotalNodes | 8 | Packetsize | 2000bytes |
| --- | --- | --- | --- |
| DataSlots | 13 | PacketgenerationInterval | 1msec |
| Tc | 1.5msec | Queuelength | 100 |
| Td | 2msec | Routing | AODV |
| Ta | 0.5msec | Simulationtime | 20sec |
| Tq | 20msec | Source | CBR |
| Flow1 | Node1to2 | Flow3 | Node5to6 |
| Flow2 | Node3to4 | Flow4 | Node7to8 |
| Throughputflow1 | 89.79kbps | Throughputflow3 | 91.21kbps |
| Throughputflow2 | 84.08kbps | Throughputflow4 | 89.79kbps | | 0 |
| TotalNodes | 8 | Packetsize | 2000bytes |
| --- | --- | --- | --- |
| DataSlots | 17 | PacketgenerationInterval | 1msec |
| Tc | 1.5msec | Queuelength | 100 |
| Td | 2msec | Routing | AODV |
| Ta | 0.5msec | Simulationtime | 20sec | | | Tq | 20msec | Source | CBR |
| --- | --- | --- | --- |
| Flow1 | PI21 | Flow3 | PI9 |
| Flow2 | PI15 | Flow4 | Pi3 |
| Throughputflow1 | 130.03kbps | Throughputflow3 | 71.76kbps |
| Throughputflow2 | 81.71kbps | Throughputflow4 | 59.68kbps | | 1 |
| TotalNodes | 8 | Packetsize | 2000bytes |
| --- | --- | --- | --- |
| DataSlots | 17 | PacketgenerationInterval | 1msec |
| Tc | 1.5msec | Queuelength | 100 |
| Td | 2msec | Routing | AODV |
| Ta | 0.5msec | Simulationtime | 20sec | | | Flow1 | Node1to2 | Flow3 | Node5to6 |
| --- | --- | --- | --- |
| Flow2 | Node3to4 | Flow4 | Node7to8 |
| Throughputflow1 | 89.79kbps | Throughputflow3 | 91.21kbps |
| Throughputflow2 | 84.08kbps | Throughputflow4 | 89.79kbps | | 0 |
| Case | Behavior | Example | Desirable? |
| --- | --- | --- | --- |
| ?? | Causingirreversibleeffectswhen<br>doingsoisunnecessaryforobjective | Breakingavasewhilecarrying<br>abox(seeExample??) | No | | | ?? | Causingirreversibleeffectswhen<br>doingsoisrequiredforobjective | Breakingeggsforomelette<br>(seeExample??) | Yes |
| --- | --- | --- | --- |
| ?? | Preventingirreversibleeventswhen<br>doingsoisunnecessaryforobjective | Stoppingahumanfromeating<br>sushi(seeExample??) | No |
| ?? | Preventingirreversibleeventswhen<br>doingsoisrequiredforobjective | Takingavaseofftheconveyor<br>belt(seeExample??) | Yes | | 1 |
| Case | Behavior | Example | Desirable? |
| --- | --- | --- | --- |
| ?? | Causingirreversibleeffectswhen<br>doingsoisunnecessaryforobjective | Breakingavasewhilecarrying<br>abox(seeExample??) | No | | | # | Features | Description |
| --- | --- | --- |
| 1 | TF | Termfrequencyofwintheshorttext |
| 2 | IDF | Inversedocumentfrequencyofwinthewholecollection |
| 3 | SF | Numberofsentencesintheshorttextthatcontainw |
| 4 | First | Whetherwexistsinthefirstsentence |
| 5 | Last | Whetherwexistsinthelastsentence |
| 6 | NE | Whetherwisanamedentity(NE) |
| 7 | NEFirst | WhetherwisNEinthefirstsentence |
| 8 | NELast | WhetherwisNEinthelastsentence |
| 9 | POS | Partofspeechofw | | 0 |
| Case | Behavior | Example | Desirable? |
| --- | --- | --- | --- |
| ?? | Causingirreversibleeffectswhen<br>doingsoisunnecessaryforobjective | Breakingavasewhilecarrying<br>abox(seeExample??) | No |
| ?? | Causingirreversibleeffectswhen<br>doingsoisrequiredforobjective | Breakingeggsforomelette<br>(seeExample??) | Yes | | | ?? | Preventingirreversibleeventswhen<br>doingsoisunnecessaryforobjective | Stoppingahumanfromeating<br>sushi(seeExample??) | No |
| --- | --- | --- | --- |
| ?? | Preventingirreversibleeventswhen<br>doingsoisrequiredforobjective | Takingavaseofftheconveyor<br>belt(seeExample??) | Yes | | 1 |
| Case | Behavior | Example | Desirable? |
| --- | --- | --- | --- |
| ?? | Causingirreversibleeffectswhen<br>doingsoisunnecessaryforobjective | Breakingavasewhilecarrying<br>abox(seeExample??) | No |
| ?? | Causingirreversibleeffectswhen<br>doingsoisrequiredforobjective | Breakingeggsforomelette<br>(seeExample??) | Yes | | | 3 | SF | Numberofsentencesintheshorttextthatcontainw |
| --- | --- | --- |
| 4 | First | Whetherwexistsinthefirstsentence |
| 5 | Last | Whetherwexistsinthelastsentence |
| 6 | NE | Whetherwisanamedentity(NE) |
| 7 | NEFirst | WhetherwisNEinthefirstsentence |
| 8 | NELast | WhetherwisNEinthelastsentence |
| 9 | POS | Partofspeechofw | | 0 |
| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 2 | 0.92 | 0.98 | 0.96 | 0.99 | 0.99 | 1.00 | 1.00 |
| 3 | 0.80 | 0.91 | 0.86 | 0.95 | 0.91 | 0.94 | 0.94 |
| 4 | 0.63 | 0.76 | 0.78 | 0.85 | 0.89 | 0.93 | 0.87 | | | 5 | 0.67 | 0.64 | 0.74 | 0.80 | 0.79 | 0.87 | 0.88 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 6 | 0.57 | 0.56 | 0.67 | 0.80 | 0.77 | 0.78 | 0.76 |
| 7 | 0.56 | 0.55 | 0.58 | 0.68 | 0.65 | 0.74 | 0.64 |
| 8 | 0.56 | 0.57 | 0.57 | 0.54 | 0.62 | 0.66 | 0.69 |
| 9 | 0.54 | 0.52 | 0.51 | 0.46 | 0.61 | 0.68 | 0.63 |
| 10 | 0.54 | 0.47 | 0.48 | 0.53 | 0.47 | 0.64 | 0.58 |
| Avg. | 0.64 | 0.66 | 0.68 | 0.73 | 0.74 | 0.80 | 0.78 | | 1 |
| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 2 | 0.92 | 0.98 | 0.96 | 0.99 | 0.99 | 1.00 | 1.00 |
| 3 | 0.80 | 0.91 | 0.86 | 0.95 | 0.91 | 0.94 | 0.94 |
| 4 | 0.63 | 0.76 | 0.78 | 0.85 | 0.89 | 0.93 | 0.87 | | | K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 2 | 0.76 | 0.82 | 0.82 | 0.87 | 0.95 | 0.95 | 0.95 |
| 3 | 0.61 | 0.70 | 0.69 | 0.64 | 0.68 | 0.70 | 0.74 |
| 4 | 0.63 | 0.64 | 0.68 | 0.61 | 0.64 | 0.66 | 0.76 |
| 5 | 0.53 | 0.64 | 0.67 | 0.67 | 0.67 | 0.65 | 0.69 |
| 6 | 0.56 | 0.53 | 0.58 | 0.65 | 0.58 | 0.63 | 0.68 |
| 7 | 0.53 | 0.55 | 0.56 | 0.62 | 0.57 | 0.58 | 0.61 |
| 8 | 0.55 | 0.49 | 0.57 | 0.60 | 0.63 | 0.56 | 0.60 |
| 9 | 0.43 | 0.38 | 0.49 | 0.55 | 0.57 | 0.51 | 0.58 |
| 10 | 0.45 | 0.47 | 0.54 | 0.54 | 0.54 | 0.51 | 0.54 |
| 11 | 0.54 | 0.49 | 0.54 | 0.57 | 0.57 | 0.50 | 0.59 |
| Avg. | 0.56 | 0.57 | 0.61 | 0.63 | 0.64 | 0.63 | 0.66 | | 0 |
| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 2 | 0.92 | 0.98 | 0.96 | 0.99 | 0.99 | 1.00 | 1.00 |
| 3 | 0.80 | 0.91 | 0.86 | 0.95 | 0.91 | 0.94 | 0.94 | | | 4 | 0.63 | 0.76 | 0.78 | 0.85 | 0.89 | 0.93 | 0.87 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 5 | 0.67 | 0.64 | 0.74 | 0.80 | 0.79 | 0.87 | 0.88 |
| 6 | 0.57 | 0.56 | 0.67 | 0.80 | 0.77 | 0.78 | 0.76 |
| 7 | 0.56 | 0.55 | 0.58 | 0.68 | 0.65 | 0.74 | 0.64 |
| 8 | 0.56 | 0.57 | 0.57 | 0.54 | 0.62 | 0.66 | 0.69 |
| 9 | 0.54 | 0.52 | 0.51 | 0.46 | 0.61 | 0.68 | 0.63 |
| 10 | 0.54 | 0.47 | 0.48 | 0.53 | 0.47 | 0.64 | 0.58 |
| Avg. | 0.64 | 0.66 | 0.68 | 0.73 | 0.74 | 0.80 | 0.78 | | 1 |
| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 2 | 0.92 | 0.98 | 0.96 | 0.99 | 0.99 | 1.00 | 1.00 |
| 3 | 0.80 | 0.91 | 0.86 | 0.95 | 0.91 | 0.94 | 0.94 | | | 7 | 0.53 | 0.55 | 0.56 | 0.62 | 0.57 | 0.58 | 0.61 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 8 | 0.55 | 0.49 | 0.57 | 0.60 | 0.63 | 0.56 | 0.60 |
| 9 | 0.43 | 0.38 | 0.49 | 0.55 | 0.57 | 0.51 | 0.58 |
| 10 | 0.45 | 0.47 | 0.54 | 0.54 | 0.54 | 0.51 | 0.54 |
| 11 | 0.54 | 0.49 | 0.54 | 0.57 | 0.57 | 0.50 | 0.59 |
| Avg. | 0.56 | 0.57 | 0.61 | 0.63 | 0.64 | 0.63 | 0.66 | | 0 |
| Action | Bloometal. | LRBM |
| --- | --- | --- |
| Fighting | 70.46 | 97.09 |
| Golf | 83.37 | 81.82 |
| Tennis | 56.44 | 84.38 |
| Bowling | 80.78 | 61.54 | | | FPS | 53.57 | 95.52 |
| --- | --- | --- |
| Driving | 84.24 | 100.00 |
| Misc | 78.21 | 95.24 |
| Avg. | 72.44 | 87.94 | | 1 |
| Action | Bloometal. | LRBM |
| --- | --- | --- |
| Fighting | 70.46 | 97.09 |
| Golf | 83.37 | 81.82 |
| Tennis | 56.44 | 84.38 |
| Bowling | 80.78 | 61.54 | | | ActionCategory | G3D | SVM-SW | RNN-SW | CA-RNN | JCR-RNN |
| --- | --- | --- | --- | --- | --- |
| Fighting | 58.54 | 76.72 | 83.28 | 94.00 | 96.18 |
| Golf | 11.88 | 45.00 | 55.00 | 50.00 | 70.00 |
| Tennis | 14.85 | 37.57 | 36.68 | 59.04 | 62.38 |
| Bowling | 31.58 | 22.22 | 44.44 | 44.44 | 66.67 |
| FPS | 13.65 | 35.35 | 39.89 | 23.69 | 33.85 |
| Driving | 2.5 | 39.99 | 50.00 | 19.99 | 50.00 |
| Misc | 18.13 | 53.32 | 65.24 | 73.81 | 86.19 | | 0 |
| Action | Bloometal. | LRBM |
| --- | --- | --- |
| Fighting | 70.46 | 97.09 |
| Golf | 83.37 | 81.82 |
| Tennis | 56.44 | 84.38 | | | Bowling | 80.78 | 61.54 |
| --- | --- | --- |
| FPS | 53.57 | 95.52 |
| Driving | 84.24 | 100.00 |
| Misc | 78.21 | 95.24 |
| Avg. | 72.44 | 87.94 | | 1 |
| Action | Bloometal. | LRBM |
| --- | --- | --- |
| Fighting | 70.46 | 97.09 |
| Golf | 83.37 | 81.82 |
| Tennis | 56.44 | 84.38 | | | Driving | 2.5 | 39.99 | 50.00 | 19.99 | 50.00 |
| --- | --- | --- | --- | --- | --- |
| Misc | 18.13 | 53.32 | 65.24 | 73.81 | 86.19 | | 0 |
| Metric | Mean1 | Mean2 |
| --- | --- | --- |
| LikedAgent | 2.75 | 3 |
| LikesAgents | 3.38 | 3.72 |
| Engaging | 2.75 | 3.14 |
| Enjoyment | 2.75 | 3.14 |
| Vocabulary | 2.63 | 2.72 | | | Naturalness | 1.88 | 2.15 |
| --- | --- | --- |
| Clarity | 2.63 | 2.86 |
| BackgroundKnowledge | 3.63 | 3.43 |
| BackgroundExperience | 2.75 | 2.57 |
| AgentsBehaviors | 2.63 | 2.72 |
| ConversationalAbilities | 3.13 | 3.01 |
| EmpathicAbilities | 3.13 | 2.86 | | 1 |
| Metric | Mean1 | Mean2 |
| --- | --- | --- |
| LikedAgent | 2.75 | 3 |
| LikesAgents | 3.38 | 3.72 |
| Engaging | 2.75 | 3.14 |
| Enjoyment | 2.75 | 3.14 |
| Vocabulary | 2.63 | 2.72 | | | SocialAttributes | BaselineI | BaselineII | OurModel |
| --- | --- | --- | --- |
| happy | 0.84 | 0.86 | 0.84 |
| unhappy | 0.75 | 0.81 | 0.80 |
| friendly | 0.78 | 0.83 | 0.82 |
| unfriendly | 0.72 | 0.80 | 0.79 |
| sociable | 0.74 | 0.78 | 0.78 |
| introverted | 0.50 | 0.64 | 0.65 |
| attractive | 0.72 | 0.66 | 0.75 |
| unattractive | 0.62 | 0.62 | 0.70 |
| kind | 0.72 | 0.79 | 0.79 |
| mean | 0.69 | 0.75 | 0.73 |
| caring | 0.72 | 0.78 | 0.79 |
| cold | 0.71 | 0.81 | 0.79 |
| trustworthy | 0.62 | 0.72 | 0.73 |
| untrustworthy | 0.60 | 0.69 | 0.70 |
| responsible | 0.58 | 0.65 | 0.70 |
| irresponsible | 0.55 | 0.64 | 0.67 |
| confident | 0.55 | 0.55 | 0.61 |
| uncertain | 0.45 | 0.62 | 0.63 |
| humble | 0.55 | 0.64 | 0.63 |
| egotistic | 0.52 | 0.62 | 0.62 |
| emotionallystable | 0.53 | 0.64 | 0.67 |
| emotionallyunstable | 0.50 | 0.62 | 0.64 |
| normal | 0.49 | 0.58 | 0.61 |
| weird | 0.52 | 0.50 | 0.56 |
| intelligent | 0.49 | 0.53 | 0.62 |
| unintelligent | 0.43 | 0.53 | 0.58 |
| interesting | 0.42 | 0.64 | 0.67 |
| boring | 0.39 | 0.54 | 0.60 |
| calm | 0.41 | 0.47 | 0.50 |
| aggressive | 0.65 | 0.72 | 0.72 |
| emotional | 0.33 | 0.60 | 0.60 |
| unemotional | 0.56 | 0.76 | 0.75 |
| memorable | 0.30 | 0.38 | 0.48 |
| forgettable | 0.27 | 0.40 | 0.48 |
| typical | 0.28 | 0.41 | 0.43 |
| atypical | 0.24 | 0.40 | 0.43 |
| common | 0.25 | 0.37 | 0.40 |
| uncommon | 0.27 | 0.38 | 0.40 |
| familiar | 0.24 | 0.42 | 0.44 |
| unfamiliar | 0.18 | 0.40 | 0.44 | | 0 |
| Metric | Mean1 | Mean2 |
| --- | --- | --- |
| LikedAgent | 2.75 | 3 | | | LikesAgents | 3.38 | 3.72 |
| --- | --- | --- |
| Engaging | 2.75 | 3.14 |
| Enjoyment | 2.75 | 3.14 |
| Vocabulary | 2.63 | 2.72 |
| Naturalness | 1.88 | 2.15 |
| Clarity | 2.63 | 2.86 |
| BackgroundKnowledge | 3.63 | 3.43 |
| BackgroundExperience | 2.75 | 2.57 |
| AgentsBehaviors | 2.63 | 2.72 |
| ConversationalAbilities | 3.13 | 3.01 |
| EmpathicAbilities | 3.13 | 2.86 | | 1 |
| Metric | Mean1 | Mean2 |
| --- | --- | --- |
| LikedAgent | 2.75 | 3 | | | egotistic | 0.52 | 0.62 | 0.62 |
| --- | --- | --- | --- |
| emotionallystable | 0.53 | 0.64 | 0.67 |
| emotionallyunstable | 0.50 | 0.62 | 0.64 |
| normal | 0.49 | 0.58 | 0.61 |
| weird | 0.52 | 0.50 | 0.56 |
| intelligent | 0.49 | 0.53 | 0.62 |
| unintelligent | 0.43 | 0.53 | 0.58 |
| interesting | 0.42 | 0.64 | 0.67 |
| boring | 0.39 | 0.54 | 0.60 |
| calm | 0.41 | 0.47 | 0.50 |
| aggressive | 0.65 | 0.72 | 0.72 |
| emotional | 0.33 | 0.60 | 0.60 |
| unemotional | 0.56 | 0.76 | 0.75 |
| memorable | 0.30 | 0.38 | 0.48 |
| forgettable | 0.27 | 0.40 | 0.48 |
| typical | 0.28 | 0.41 | 0.43 |
| atypical | 0.24 | 0.40 | 0.43 |
| common | 0.25 | 0.37 | 0.40 |
| uncommon | 0.27 | 0.38 | 0.40 |
| familiar | 0.24 | 0.42 | 0.44 |
| unfamiliar | 0.18 | 0.40 | 0.44 | | 0 |
| Configuration | p | T1 | T2 | B1 | B2 |
| --- | --- | --- | --- | --- | --- |
| 1 | 0 | ∅ | 1,...,N | ∅ | N+1,...,2N |
| 2 | 0 | 2N+1 | 2,...,N | ∅ | N+2,...,2N,1 |
| 3 | 0 | ∅ | 2,...,N,1 | 2N+1 | N+2,...,2N | | | 4 | 1 | ∅ | 3,...,N,1,2N+1 | ∅ | N+2,...,2N,2 |
| --- | --- | --- | --- | --- | --- |
| 5 | 0 | ∅ | 1,2N+1,2,...,N−1 | ∅ | N+2,...,2N,N | | 1 |
| Configuration | p | T1 | T2 | B1 | B2 |
| --- | --- | --- | --- | --- | --- |
| 1 | 0 | ∅ | 1,...,N | ∅ | N+1,...,2N |
| 2 | 0 | 2N+1 | 2,...,N | ∅ | N+2,...,2N,1 |
| 3 | 0 | ∅ | 2,...,N,1 | 2N+1 | N+2,...,2N | | | Config. | p | B1 | T1 | T2 | B2 |
| --- | --- | --- | --- | --- | --- |
| 1 | 0 | ∅ | 1<br>1 | 2,...,N | N+1,...,2N |
| 2 | 0 | ∅ | 2N+1 | 1,...,N−1 | N,...,2N−1 |
| 3 | 0 | 2N+1 | ∅ | N,1,...,N−1 | N+1,...,2N−1 |
| 4 | 1 | ∅ | ∅ | 2N+1,N,1,...,N−2 | N−1,N+1,...,2N−1 |
| 5 | 0 | ∅ | ∅ | N−1,2N+1,N,1,...,N−3 | N−2,N+1,...,2N−1 |
| ... | 0 | ... | ... | ... | ... |
| N+2 | 0 | ∅ | ∅ | 2,...,N−1,2N+1,N | 1,N+1,...,2N−1 | | 0 |
| Configuration | p | T1 | T2 | B1 | B2 |
| --- | --- | --- | --- | --- | --- |
| 1 | 0 | ∅ | 1,...,N | ∅ | N+1,...,2N |
| 2 | 0 | 2N+1 | 2,...,N | ∅ | N+2,...,2N,1 | | | 3 | 0 | ∅ | 2,...,N,1 | 2N+1 | N+2,...,2N |
| --- | --- | --- | --- | --- | --- |
| 4 | 1 | ∅ | 3,...,N,1,2N+1 | ∅ | N+2,...,2N,2 |
| 5 | 0 | ∅ | 1,2N+1,2,...,N−1 | ∅ | N+2,...,2N,N | | 1 |
| Configuration | p | T1 | T2 | B1 | B2 |
| --- | --- | --- | --- | --- | --- |
| 1 | 0 | ∅ | 1,...,N | ∅ | N+1,...,2N |
| 2 | 0 | 2N+1 | 2,...,N | ∅ | N+2,...,2N,1 | | | ... | 0 | ... | ... | ... | ... |
| --- | --- | --- | --- | --- | --- |
| N+2 | 0 | ∅ | ∅ | 2,...,N−1,2N+1,N | 1,N+1,...,2N−1 | | 0 |
| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |
| --- | --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 33.5<br>32.3<br>33.9<br>36.7<br>38.6<br>43.3<br>43.0<br>43.8 | 70.1<br>68.9<br>69.3<br>71.7<br>73.1<br>76.2<br>75.7<br>76.8 | 80.0<br>78.9<br>78.1<br>81.7<br>83.7<br>83.9<br>83.5<br>84.2 | 83.4<br>82.6<br>83.8<br>84.3<br>85.2<br>86.1<br>86.3<br>86.9 | 88.8<br>87.6<br>88.9<br>88.4<br>90.4<br>90.7<br>90.4<br>90.7 | 92.8<br>91.2<br>91.8<br>92.4<br>92.7<br>93.4<br>92.8<br>93.2 |
| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 35.8<br>36.0<br>36.8<br>39.0<br>41.2<br>45.4<br>45.1<br>45.8 | 70.5<br>69.7<br>70.9<br>71.9<br>73.6<br>75.8<br>75.5<br>76.3 | 83.7<br>81.7<br>83.4<br>84.3<br>84.8<br>86.7<br>86.5<br>87.2 | 87.9<br>86.4<br>87.3<br>88.6<br>89.2<br>91.4<br>91.6<br>92.3 | 92.0<br>91.6<br>91.6<br>92.8<br>93.2<br>94.6<br>95.0<br>94.3 | 95.6<br>96.1<br>95.4<br>95.6<br>96.3<br>96.5<br>97.2<br>96.8 | | | 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |
| --- | --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 42.3<br>41.5<br>42.7<br>44.5<br>46.2<br>49.3<br>49.1<br>49.6 | 71.3<br>71.0<br>72.6<br>74.3<br>76.4<br>77.9<br>77.5<br>78.6 | 84.5<br>84.3<br>84.8<br>85.6<br>87.2<br>88.1<br>87.7<br>88.9 | 88.5<br>88.2<br>88.8<br>89.7<br>90.8<br>92.7<br>92.3<br>93.5 | 91.8<br>92.1<br>92.4<br>93.3<br>94.2<br>94.7<br>95.0<br>95.4 | 95.2<br>95.7<br>96.3<br>96.0<br>96.7<br>97.4<br>97.2<br>97.8 | | 1 |
| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |
| --- | --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 33.5<br>32.3<br>33.9<br>36.7<br>38.6<br>43.3<br>43.0<br>43.8 | 70.1<br>68.9<br>69.3<br>71.7<br>73.1<br>76.2<br>75.7<br>76.8 | 80.0<br>78.9<br>78.1<br>81.7<br>83.7<br>83.9<br>83.5<br>84.2 | 83.4<br>82.6<br>83.8<br>84.3<br>85.2<br>86.1<br>86.3<br>86.9 | 88.8<br>87.6<br>88.9<br>88.4<br>90.4<br>90.7<br>90.4<br>90.7 | 92.8<br>91.2<br>91.8<br>92.4<br>92.7<br>93.4<br>92.8<br>93.2 |
| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 35.8<br>36.0<br>36.8<br>39.0<br>41.2<br>45.4<br>45.1<br>45.8 | 70.5<br>69.7<br>70.9<br>71.9<br>73.6<br>75.8<br>75.5<br>76.3 | 83.7<br>81.7<br>83.4<br>84.3<br>84.8<br>86.7<br>86.5<br>87.2 | 87.9<br>86.4<br>87.3<br>88.6<br>89.2<br>91.4<br>91.6<br>92.3 | 92.0<br>91.6<br>91.6<br>92.8<br>93.2<br>94.6<br>95.0<br>94.3 | 95.6<br>96.1<br>95.4<br>95.6<br>96.3<br>96.5<br>97.2<br>96.8 | | | Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 |
| --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 27.5<br>28.5<br>28.3<br>30.8<br>34.8<br>35.3<br>35.1<br>35.5 | 57.0<br>57.9<br>57.5<br>62.7<br>68.7<br>69.8<br>69.5<br>70.3 | 73.7<br>74.1<br>74.3<br>77.5<br>82.3<br>83.8<br>83.5<br>84.3 | 83.9<br>84.2<br>84.7<br>88.9<br>91.8<br>92.2<br>92.2<br>92.7 | 87.7<br>88.3<br>88.7<br>91.7<br>94.9<br>94.5<br>95.1<br>95.3 |
| Rank(withkLFDA) | 1 | 5 | 10 | 20 | 30 |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 31.5<br>30.3<br>32.1<br>33.8<br>35.2<br>36.4<br>36.1<br>36.4 | 64.9<br>64.4<br>69.1<br>69.3<br>69.7<br>71.4<br>71.2<br>71.7 | 79.4<br>77.3<br>83.2<br>81.5<br>83.5<br>84.5<br>84.2<br>84.2 | 89.2<br>89.4<br>91.4<br>90.3<br>91.9<br>92.2<br>92.0<br>91.7 | 92.4<br>91.7<br>94.1<br>93.2<br>94.5<br>94.8<br>94.5<br>94.1 |
| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 20 | 30 |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 40.3<br>39.5<br>40.8<br>42.6<br>43.3<br>44.8<br>44.6<br>45.0 | 74.1<br>73.7<br>74.8<br>76.5<br>77.4<br>78.5<br>78.2<br>79.2 | 85.3<br>84.4<br>86.1<br>87.4<br>88.2<br>89.8<br>89.4<br>90.3 | 90.0<br>89.8<br>90.8<br>92.4<br>92.7<br>93.4<br>93.8<br>93.5 | 95.2<br>95.7<br>96.3<br>97.3<br>97.8<br>97.2<br>97.6<br>97.4 | | 0 |
| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |
| --- | --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 33.5<br>32.3<br>33.9<br>36.7<br>38.6<br>43.3<br>43.0<br>43.8 | 70.1<br>68.9<br>69.3<br>71.7<br>73.1<br>76.2<br>75.7<br>76.8 | 80.0<br>78.9<br>78.1<br>81.7<br>83.7<br>83.9<br>83.5<br>84.2 | 83.4<br>82.6<br>83.8<br>84.3<br>85.2<br>86.1<br>86.3<br>86.9 | 88.8<br>87.6<br>88.9<br>88.4<br>90.4<br>90.7<br>90.4<br>90.7 | 92.8<br>91.2<br>91.8<br>92.4<br>92.7<br>93.4<br>92.8<br>93.2 |
| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 35.8<br>36.0<br>36.8<br>39.0<br>41.2<br>45.4<br>45.1<br>45.8 | 70.5<br>69.7<br>70.9<br>71.9<br>73.6<br>75.8<br>75.5<br>76.3 | 83.7<br>81.7<br>83.4<br>84.3<br>84.8<br>86.7<br>86.5<br>87.2 | 87.9<br>86.4<br>87.3<br>88.6<br>89.2<br>91.4<br>91.6<br>92.3 | 92.0<br>91.6<br>91.6<br>92.8<br>93.2<br>94.6<br>95.0<br>94.3 | 95.6<br>96.1<br>95.4<br>95.6<br>96.3<br>96.5<br>97.2<br>96.8 | | | 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |
| --- | --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 42.3<br>41.5<br>42.7<br>44.5<br>46.2<br>49.3<br>49.1<br>49.6 | 71.3<br>71.0<br>72.6<br>74.3<br>76.4<br>77.9<br>77.5<br>78.6 | 84.5<br>84.3<br>84.8<br>85.6<br>87.2<br>88.1<br>87.7<br>88.9 | 88.5<br>88.2<br>88.8<br>89.7<br>90.8<br>92.7<br>92.3<br>93.5 | 91.8<br>92.1<br>92.4<br>93.3<br>94.2<br>94.7<br>95.0<br>95.4 | 95.2<br>95.7<br>96.3<br>96.0<br>96.7<br>97.4<br>97.2<br>97.8 | | 1 |
| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |
| --- | --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 33.5<br>32.3<br>33.9<br>36.7<br>38.6<br>43.3<br>43.0<br>43.8 | 70.1<br>68.9<br>69.3<br>71.7<br>73.1<br>76.2<br>75.7<br>76.8 | 80.0<br>78.9<br>78.1<br>81.7<br>83.7<br>83.9<br>83.5<br>84.2 | 83.4<br>82.6<br>83.8<br>84.3<br>85.2<br>86.1<br>86.3<br>86.9 | 88.8<br>87.6<br>88.9<br>88.4<br>90.4<br>90.7<br>90.4<br>90.7 | 92.8<br>91.2<br>91.8<br>92.4<br>92.7<br>93.4<br>92.8<br>93.2 |
| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 35.8<br>36.0<br>36.8<br>39.0<br>41.2<br>45.4<br>45.1<br>45.8 | 70.5<br>69.7<br>70.9<br>71.9<br>73.6<br>75.8<br>75.5<br>76.3 | 83.7<br>81.7<br>83.4<br>84.3<br>84.8<br>86.7<br>86.5<br>87.2 | 87.9<br>86.4<br>87.3<br>88.6<br>89.2<br>91.4<br>91.6<br>92.3 | 92.0<br>91.6<br>91.6<br>92.8<br>93.2<br>94.6<br>95.0<br>94.3 | 95.6<br>96.1<br>95.4<br>95.6<br>96.3<br>96.5<br>97.2<br>96.8 | | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 31.5<br>30.3<br>32.1<br>33.8<br>35.2<br>36.4<br>36.1<br>36.4 | 64.9<br>64.4<br>69.1<br>69.3<br>69.7<br>71.4<br>71.2<br>71.7 | 79.4<br>77.3<br>83.2<br>81.5<br>83.5<br>84.5<br>84.2<br>84.2 | 89.2<br>89.4<br>91.4<br>90.3<br>91.9<br>92.2<br>92.0<br>91.7 | 92.4<br>91.7<br>94.1<br>93.2<br>94.5<br>94.8<br>94.5<br>94.1 |
| --- | --- | --- | --- | --- | --- |
| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 20 | 30 |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 40.3<br>39.5<br>40.8<br>42.6<br>43.3<br>44.8<br>44.6<br>45.0 | 74.1<br>73.7<br>74.8<br>76.5<br>77.4<br>78.5<br>78.2<br>79.2 | 85.3<br>84.4<br>86.1<br>87.4<br>88.2<br>89.8<br>89.4<br>90.3 | 90.0<br>89.8<br>90.8<br>92.4<br>92.7<br>93.4<br>93.8<br>93.5 | 95.2<br>95.7<br>96.3<br>97.3<br>97.8<br>97.2<br>97.6<br>97.4 | | 0 |
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