premise string | hypothesis string | label int64 |
|---|---|---|
| Entity | Categorization | Conditions |
| --- | --- | --- |
| EndofSΟ(jβ1),i | collinear(1) | q=pjβ1iβ1<br>q=pj+1i+1 |
| left(2) | qβIjβ1<br>(qβIII)β§(pβII)jβ1iβ2<br>(qβIV)β§(pβII)jβ1i+2 | |
| right(3) | qβIIjβ1<br>(qβIII)β§(pβI)jβ1iβ2<br>(qβIV)β§(pβI)jβ1i+2 | | | | BeginningofSi,Ο(j+1) | collinear(1) | q=pjβ1iβ1<br>q=pj+1i+1 |
| --- | --- | --- |
| left(2) | qβIj+1<br>(qβIII)β§(pβII)j+1iβ2<br>(qβIV)β§(pβII)j+1i+2 | |
| right(3) | qβIIj+1<br>(qβIII)β§(pβI)j+1iβ2<br>(qβIV)β§(pβI)j+1i+2 | | | 1 |
| Entity | Categorization | Conditions |
| --- | --- | --- |
| EndofSΟ(jβ1),i | collinear(1) | q=pjβ1iβ1<br>q=pj+1i+1 |
| left(2) | qβIjβ1<br>(qβIII)β§(pβII)jβ1iβ2<br>(qβIV)β§(pβII)jβ1i+2 | |
| right(3) | qβIIjβ1<br>(qβIII)β§(pβI)jβ1iβ2<br>(qβIV)β§(pβI)jβ1i+2 | | | | | k=3 | k=4 | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| h | q | r | t | q | r | t | q |
| 1 | 3xβ1 | 3x+3x+1 | β3xβ1 | x+x+1 | x+2x+2 | βx | x+1 |
| 2 | 2x+x+1<br>2<br>14x+3xβ1<br>2<br>14x+17x+4 | x+x+1<br>2<br>7x+5x+1<br>2<br>7x+5x+1 | βx<br>β7xβ2<br>7x+3 | 4x+2x+1 | 2x+2x+1 | β2x | 2x+x+2<br>2<br>6x+3x+1 |
| 3 | 3x+2x+2 | x+x+1 | βx | 5x+9x+9<br>2<br>25x+15x+3<br>2<br>25x+25x+7 | x+2x+2<br>2<br>5x+4x+1<br>2<br>5x+6x+2 | βx<br>β5xβ1<br>β5xβ2 | 3x+2x+3<br>2<br>9x+6x+2<br>2<br>21x+8x+1<br>2<br>21x+22x+6 |
| 4 | 4x+3x+3<br>2<br>12x+9x+2<br>2<br>28x+13x+1<br>2<br>28x+27x+6 | x+x+1<br>2<br>3x+3x+1<br>2<br>7x+5x+1<br>2<br>7x+5x+1 | βx<br>β3xβ1<br>β7xβ2<br>7x+3 | 8x+6x+3 | 2x+2x+1 | β2x | 4x+3x+4<br>2<br>28x+13x+2<br>2<br>28x+27x+7<br>2<br>52x+15x+1<br>2<br>52x+41x+8 |
| 5 | 5x+4x+4<br>2<br>35x+18x+2<br>2<br>35x+32x+7<br>2<br>65x+22x+1<br>2<br>65x+48x+8<br>2<br>95x+56x+7<br>2<br>95x+94x+22 | x+x+1<br>2<br>7x+5x+1<br>2<br>7x+5x+1<br>2<br>13x+7x+1<br>2<br>13x+7x+1<br>2<br>19x+15x+3<br>2<br>19x+15x+3 | βx<br>β7xβ2<br>7x+3<br>β13xβ3<br>13x+4<br>β19xβ7<br>19x+8 | 5x+9x+9<br>2<br>25x+15x+3<br>2<br>25x+25x+7<br>2<br>65x+37x+5<br>2<br>65x+63x+15<br>2<br>85x+23x+1<br>2<br>85x+57x+9 | x+2x+2<br>2<br>5x+4x+1<br>2<br>5x+6x+2<br>2<br>13x+10x+2<br>2<br>13x+10x+2<br>2<br>17x+8x+1<br>2<br>17x+8x+1 | βx<br>β5xβ1<br>β5xβ2<br>β13xβ4<br>13x+6<br>β17xβ3<br>17x+5 | 5x+4x+5<br>2<br>15x+12x+4<br>2<br>35x+18x+3<br>2<br>35x+32x+8<br>2<br>65x+22x+2<br>2<br>65x+48x+9<br>2<br>95x+56x+8<br>2<br>95x+94x+23 |
| 6 | 6x+5x+5<br>2<br>18x+15+4<br>2<br>78x+29x+2<br>2<br>78x+55x+9<br>2<br>114x+71x+10<br>2<br>114x+109x+25<br>2<br>126x+33x+1<br>2<br>126x+75x+10 | x+x+1<br>2<br>3x+3x+1<br>2<br>13x+7x+1<br>2<br>13x+7x+1<br>2<br>19x+15x+3<br>2<br>19x+15x+3<br>2<br>21x+9x+1<br>2<br>21x+9x+1 | βx<br>β3xβ1<br>β13xβ3<br>13x+4<br>β19xβ7<br>19x+8<br>β21xβ4<br>21x+5 | 12x+10x+5<br>2<br>60x+26x+3<br>2<br>60x+46x+9<br>2<br>102x+31x+2<br>2<br>102x+65x+10 | 2x+2x+1<br>2<br>10x+6x+1<br>2<br>10x+6x+1<br>2<br>17x+8x+1<br>2<br>17x+8x+1 | β2x<br>β10xβ2<br>10x+4<br>β17xβ3<br>17x+5 | 6x+5x+6<br>2<br>18x+15x+5<br>2<br>42x+23x+4<br>2<br>42x+37x+9<br>2<br>78x+29x+3<br>2<br>78x+55x+10 | | 0 |
| Entity | Categorization | Conditions |
| --- | --- | --- |
| EndofSΟ(jβ1),i | collinear(1) | q=pjβ1iβ1<br>q=pj+1i+1 |
| left(2) | qβIjβ1<br>(qβIII)β§(pβII)jβ1iβ2<br>(qβIV)β§(pβII)jβ1i+2 | | | | right(3) | qβIIjβ1<br>(qβIII)β§(pβI)jβ1iβ2<br>(qβIV)β§(pβI)jβ1i+2 | |
| --- | --- | --- |
| BeginningofSi,Ο(j+1) | collinear(1) | q=pjβ1iβ1<br>q=pj+1i+1 |
| left(2) | qβIj+1<br>(qβIII)β§(pβII)j+1iβ2<br>(qβIV)β§(pβII)j+1i+2 | |
| right(3) | qβIIj+1<br>(qβIII)β§(pβI)j+1iβ2<br>(qβIV)β§(pβI)j+1i+2 | | | 1 |
| Entity | Categorization | Conditions |
| --- | --- | --- |
| EndofSΟ(jβ1),i | collinear(1) | q=pjβ1iβ1<br>q=pj+1i+1 |
| left(2) | qβIjβ1<br>(qβIII)β§(pβII)jβ1iβ2<br>(qβIV)β§(pβII)jβ1i+2 | | | | 2 | 2x+x+1<br>2<br>14x+3xβ1<br>2<br>14x+17x+4 | x+x+1<br>2<br>7x+5x+1<br>2<br>7x+5x+1 | βx<br>β7xβ2<br>7x+3 | 4x+2x+1 | 2x+2x+1 | β2x | 2x+x+2<br>2<br>6x+3x+1 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 3 | 3x+2x+2 | x+x+1 | βx | 5x+9x+9<br>2<br>25x+15x+3<br>2<br>25x+25x+7 | x+2x+2<br>2<br>5x+4x+1<br>2<br>5x+6x+2 | βx<br>β5xβ1<br>β5xβ2 | 3x+2x+3<br>2<br>9x+6x+2<br>2<br>21x+8x+1<br>2<br>21x+22x+6 |
| 4 | 4x+3x+3<br>2<br>12x+9x+2<br>2<br>28x+13x+1<br>2<br>28x+27x+6 | x+x+1<br>2<br>3x+3x+1<br>2<br>7x+5x+1<br>2<br>7x+5x+1 | βx<br>β3xβ1<br>β7xβ2<br>7x+3 | 8x+6x+3 | 2x+2x+1 | β2x | 4x+3x+4<br>2<br>28x+13x+2<br>2<br>28x+27x+7<br>2<br>52x+15x+1<br>2<br>52x+41x+8 |
| 5 | 5x+4x+4<br>2<br>35x+18x+2<br>2<br>35x+32x+7<br>2<br>65x+22x+1<br>2<br>65x+48x+8<br>2<br>95x+56x+7<br>2<br>95x+94x+22 | x+x+1<br>2<br>7x+5x+1<br>2<br>7x+5x+1<br>2<br>13x+7x+1<br>2<br>13x+7x+1<br>2<br>19x+15x+3<br>2<br>19x+15x+3 | βx<br>β7xβ2<br>7x+3<br>β13xβ3<br>13x+4<br>β19xβ7<br>19x+8 | 5x+9x+9<br>2<br>25x+15x+3<br>2<br>25x+25x+7<br>2<br>65x+37x+5<br>2<br>65x+63x+15<br>2<br>85x+23x+1<br>2<br>85x+57x+9 | x+2x+2<br>2<br>5x+4x+1<br>2<br>5x+6x+2<br>2<br>13x+10x+2<br>2<br>13x+10x+2<br>2<br>17x+8x+1<br>2<br>17x+8x+1 | βx<br>β5xβ1<br>β5xβ2<br>β13xβ4<br>13x+6<br>β17xβ3<br>17x+5 | 5x+4x+5<br>2<br>15x+12x+4<br>2<br>35x+18x+3<br>2<br>35x+32x+8<br>2<br>65x+22x+2<br>2<br>65x+48x+9<br>2<br>95x+56x+8<br>2<br>95x+94x+23 |
| 6 | 6x+5x+5<br>2<br>18x+15+4<br>2<br>78x+29x+2<br>2<br>78x+55x+9<br>2<br>114x+71x+10<br>2<br>114x+109x+25<br>2<br>126x+33x+1<br>2<br>126x+75x+10 | x+x+1<br>2<br>3x+3x+1<br>2<br>13x+7x+1<br>2<br>13x+7x+1<br>2<br>19x+15x+3<br>2<br>19x+15x+3<br>2<br>21x+9x+1<br>2<br>21x+9x+1 | βx<br>β3xβ1<br>β13xβ3<br>13x+4<br>β19xβ7<br>19x+8<br>β21xβ4<br>21x+5 | 12x+10x+5<br>2<br>60x+26x+3<br>2<br>60x+46x+9<br>2<br>102x+31x+2<br>2<br>102x+65x+10 | 2x+2x+1<br>2<br>10x+6x+1<br>2<br>10x+6x+1<br>2<br>17x+8x+1<br>2<br>17x+8x+1 | β2x<br>β10xβ2<br>10x+4<br>β17xβ3<br>17x+5 | 6x+5x+6<br>2<br>18x+15x+5<br>2<br>42x+23x+4<br>2<br>42x+37x+9<br>2<br>78x+29x+3<br>2<br>78x+55x+10 | | 0 |
| n | n-k | m | q | d | t | rβ | r | GVR | Singleton | pk(bits) | sign(bits) | LP | Dual | DS | DA |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 57600 | 8640 | 130 | 1096 | 400 | 776 |
| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 11520 | 1728 | 110 | 233 | 80 | 168 |
| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 23040 | 3456 | 120 | 448 | 160 | 320 |
| 20 | 10 | 24 | 2 | 2 | 3 | 5 | 8 | 6 | 10 | 24960 | 3008 | 190 | 370 | 104 | 226 |
| 27 | 9 | 20 | 2 | 3 | 2 | 3 | 5 | 4 | 7 | 23328 | 1470 | 170 | 187 | 120 | 129 | | | 48 | 12 | 40 | 2 | 4 | 5 | 3 | 8 | 6 | 10 | 78720 | 2976 | ΒΏ600 | 340 | 164 | 114 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 50 | 10 | 42 | 2 | 5 | 5(2) | 2 | 7 | 5 | 9 | 70560 | 2800 | ΒΏ600 | 240 | 180 | 104 | | 1 |
| n | n-k | m | q | d | t | rβ | r | GVR | Singleton | pk(bits) | sign(bits) | LP | Dual | DS | DA |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 57600 | 8640 | 130 | 1096 | 400 | 776 |
| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 11520 | 1728 | 110 | 233 | 80 | 168 |
| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 23040 | 3456 | 120 | 448 | 160 | 320 |
| 20 | 10 | 24 | 2 | 2 | 3 | 5 | 8 | 6 | 10 | 24960 | 3008 | 190 | 370 | 104 | 226 |
| 27 | 9 | 20 | 2 | 3 | 2 | 3 | 5 | 4 | 7 | 23328 | 1470 | 170 | 187 | 120 | 129 | | | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |
| --- | --- | --- | --- | --- |
| 14.19 | 13.26 | 13.13 | 13.84 | 14.90 |
| 16.57 | 17.12 | 16.94 | 17.08 | 17.38 |
| 21.97 | 22.76 | 23.91 | 25.89 | 27.53 |
| 30.93 | 32.50 | 33.59 | 35.36 | 35.59 |
| 15.06 | 15.43 | 15.64 | 16.07 | 16.78 |
| 63.48 | 66.97 | 68.83 | 73.45 | 74.66 |
| 56.67 | 71.41 | 76.50 | 80.40 | 82.73 |
| 59.09 | 61.17 | 68.15 | 69.22 | 70.74 |
| 71.86 | 75.12 | 80.33 | 81.70 | 83.16 | | 0 |
| n | n-k | m | q | d | t | rβ | r | GVR | Singleton | pk(bits) | sign(bits) | LP | Dual | DS | DA |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 57600 | 8640 | 130 | 1096 | 400 | 776 |
| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 11520 | 1728 | 110 | 233 | 80 | 168 |
| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 23040 | 3456 | 120 | 448 | 160 | 320 | | | 20 | 10 | 24 | 2 | 2 | 3 | 5 | 8 | 6 | 10 | 24960 | 3008 | 190 | 370 | 104 | 226 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 27 | 9 | 20 | 2 | 3 | 2 | 3 | 5 | 4 | 7 | 23328 | 1470 | 170 | 187 | 120 | 129 |
| 48 | 12 | 40 | 2 | 4 | 5 | 3 | 8 | 6 | 10 | 78720 | 2976 | ΒΏ600 | 340 | 164 | 114 |
| 50 | 10 | 42 | 2 | 5 | 5(2) | 2 | 7 | 5 | 9 | 70560 | 2800 | ΒΏ600 | 240 | 180 | 104 | | 1 |
| n | n-k | m | q | d | t | rβ | r | GVR | Singleton | pk(bits) | sign(bits) | LP | Dual | DS | DA |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 57600 | 8640 | 130 | 1096 | 400 | 776 |
| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 11520 | 1728 | 110 | 233 | 80 | 168 |
| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 23040 | 3456 | 120 | 448 | 160 | 320 | | | 16.57 | 17.12 | 16.94 | 17.08 | 17.38 |
| --- | --- | --- | --- | --- |
| 21.97 | 22.76 | 23.91 | 25.89 | 27.53 |
| 30.93 | 32.50 | 33.59 | 35.36 | 35.59 |
| 15.06 | 15.43 | 15.64 | 16.07 | 16.78 |
| 63.48 | 66.97 | 68.83 | 73.45 | 74.66 |
| 56.67 | 71.41 | 76.50 | 80.40 | 82.73 |
| 59.09 | 61.17 | 68.15 | 69.22 | 70.74 |
| 71.86 | 75.12 | 80.33 | 81.70 | 83.16 | | 0 |
| Method | N | E | C |
| --- | --- | --- | --- |
| SPINN-NPencoders | 80.6 | 88.2 | 85.5 |
| mLSTM | 81.6 | 91.6 | 87.4 | | | word-wordattentionandaggregation | 83.7 | 92.1 | 86.7 |
| --- | --- | --- | --- |
| Ourmodelwithbi-LSTMencoders | 84.3 | 90.6 | 86.9 |
| Ourmodelwithbtree-LSTMencoders | 84.8 | 93.2 | 87.4 | | 1 |
| Method | N | E | C |
| --- | --- | --- | --- |
| SPINN-NPencoders | 80.6 | 88.2 | 85.5 |
| mLSTM | 81.6 | 91.6 | 87.4 | | | Reference | Lexicon | LM | CH | SW |
| --- | --- | --- | --- | --- |
| Current | N | N | 26.4 | 17.2 |
| Current | N | CharNG | 21.8 | 13.8 |
| (ensemble) | Y | WordNG | 19.3 | 12.6 |
| Current | Y | WordNG | 18.7 | 11.3 |
| Current | Y | WordRNN | 17.7 | 10.2 | | 0 |
| Method | N | E | C |
| --- | --- | --- | --- |
| SPINN-NPencoders | 80.6 | 88.2 | 85.5 |
| mLSTM | 81.6 | 91.6 | 87.4 | | | word-wordattentionandaggregation | 83.7 | 92.1 | 86.7 |
| --- | --- | --- | --- |
| Ourmodelwithbi-LSTMencoders | 84.3 | 90.6 | 86.9 |
| Ourmodelwithbtree-LSTMencoders | 84.8 | 93.2 | 87.4 | | 1 |
| Method | N | E | C |
| --- | --- | --- | --- |
| SPINN-NPencoders | 80.6 | 88.2 | 85.5 |
| mLSTM | 81.6 | 91.6 | 87.4 | | | Current | Y | WordNG | 18.7 | 11.3 |
| --- | --- | --- | --- | --- |
| Current | Y | WordRNN | 17.7 | 10.2 | | 0 |
| Numbers | Category0 | Categoryvoid | | |
| --- | --- | --- | --- | --- |
| | Passed | Failed | Passed | Failed | | | Twitter | 12,681 | 2,228 | 21,443 | 4,123 |
| --- | --- | --- | --- | --- |
| Facebook | 7,586 | 1,287 | 21,715 | 3,579 |
| Total | 20,267 | 3,515 | 43,158 | 7,702 | | 1 |
| Numbers | Category0 | Categoryvoid | | |
| --- | --- | --- | --- | --- |
| | Passed | Failed | Passed | Failed | | | Category | Numberoftweets |
| --- | --- |
| Totaltweets | 3545 |
| Tweetsinfavor | 964 |
| Tweetsagainst | 647 |
| Neutraltweets | 1934 | | 0 |
| Numbers | Category0 | Categoryvoid | | |
| --- | --- | --- | --- | --- |
| | Passed | Failed | Passed | Failed | | | Twitter | 12,681 | 2,228 | 21,443 | 4,123 |
| --- | --- | --- | --- | --- |
| Facebook | 7,586 | 1,287 | 21,715 | 3,579 |
| Total | 20,267 | 3,515 | 43,158 | 7,702 | | 1 |
| Numbers | Category0 | Categoryvoid | | |
| --- | --- | --- | --- | --- |
| | Passed | Failed | Passed | Failed | | | Tweetsinfavor | 964 |
| --- | --- |
| Tweetsagainst | 647 |
| Neutraltweets | 1934 | | 0 |
| Name | NumberofEdges | NumberofTriangles |
| --- | --- | --- |
| cit-HepTh-dates | 38488 | 1418 |
| wiki-Vote | 201524 | 608389 |
| email-Enron | 367662 | 727044 | | | soc-sign-epinions | 1422420 | 4910076 |
| --- | --- | --- |
| ο¬ickrEdges | 4633896 | 107987357 |
| web-Google | 8644102 | 13391903 |
| cit-Patents | 33037894 | 7515023 | | 1 |
| Name | NumberofEdges | NumberofTriangles |
| --- | --- | --- |
| cit-HepTh-dates | 38488 | 1418 |
| wiki-Vote | 201524 | 608389 |
| email-Enron | 367662 | 727044 | | | Entity | Ni | Vi | Mi | StructureType |
| --- | --- | --- | --- | --- |
| latlon | 1624984 | 1625197 | 1506465 | Identity |
| lat | 1624984 | 1625192 | 1504469 | Identity |
| lon | 1625061 | 1625725 | 1504619 | Identity |
| place | 1741337 | 1741516 | 1504619 | Identity |
| retweetID | 636455 | 636644 | 627163 | Identity |
| reuserID | 720624 | 722148 | 676616 | Identity |
| time | 2020000 | 2020000 | 35176 | Organization |
| userID | 2020000 | 2020000 | 1711141 | Identity |
| user | 2020000 | 2020000 | 1711143 | Identity |
| word | 1976746 | 17180314 | 7838862 | Authority | | 0 |
| Name | NumberofEdges | NumberofTriangles |
| --- | --- | --- |
| cit-HepTh-dates | 38488 | 1418 |
| wiki-Vote | 201524 | 608389 |
| email-Enron | 367662 | 727044 |
| soc-sign-epinions | 1422420 | 4910076 |
| ο¬ickrEdges | 4633896 | 107987357 | | | web-Google | 8644102 | 13391903 |
| --- | --- | --- |
| cit-Patents | 33037894 | 7515023 | | 1 |
| Name | NumberofEdges | NumberofTriangles |
| --- | --- | --- |
| cit-HepTh-dates | 38488 | 1418 |
| wiki-Vote | 201524 | 608389 |
| email-Enron | 367662 | 727044 |
| soc-sign-epinions | 1422420 | 4910076 |
| ο¬ickrEdges | 4633896 | 107987357 | | | lat | 1624984 | 1625192 | 1504469 | Identity |
| --- | --- | --- | --- | --- |
| lon | 1625061 | 1625725 | 1504619 | Identity |
| place | 1741337 | 1741516 | 1504619 | Identity |
| retweetID | 636455 | 636644 | 627163 | Identity |
| reuserID | 720624 | 722148 | 676616 | Identity |
| time | 2020000 | 2020000 | 35176 | Organization |
| userID | 2020000 | 2020000 | 1711141 | Identity |
| user | 2020000 | 2020000 | 1711143 | Identity |
| word | 1976746 | 17180314 | 7838862 | Authority | | 0 |
| | Omniscient:<br>fulldistances | Agentsβordinalprefs<br>andfacilitylocations | Onlyagentsβordinal<br>prefs(lowerbounds) |
| --- | --- | --- | --- |
| Total(Sum)SocialChoice | 1 | 3 | 5(3) |
| MedianSocialChoice | 1 | 3 | 5(5) |
| MinWeightBipartiteMatching | 1 | 3 | n(3) |
| EgalitarianBipartiteMatching | 1 | 3 | -(2) |
| FacilityLocation | 1.488 | 3.976 | β(β) | | | k-center | 2 | 5 | -(-) |
| --- | --- | --- | --- |
| k-median | 2.675 | 6.35 | -(β¦(n)) | | 1 |
| | Omniscient:<br>fulldistances | Agentsβordinalprefs<br>andfacilitylocations | Onlyagentsβordinal<br>prefs(lowerbounds) |
| --- | --- | --- | --- |
| Total(Sum)SocialChoice | 1 | 3 | 5(3) |
| MedianSocialChoice | 1 | 3 | 5(5) |
| MinWeightBipartiteMatching | 1 | 3 | n(3) |
| EgalitarianBipartiteMatching | 1 | 3 | -(2) |
| FacilityLocation | 1.488 | 3.976 | β(β) | | | pair | β
| Ο1 | Ο2 | Ο3 | Ο4 | β¦ |
| --- | --- | --- | --- | --- | --- | --- |
| (1,2) | 0 | 0.13975 | 0.23775 | 0.232 | 0.025 | 0.3655 |
| (2,3) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |
| (2,4) | 0 | 0.1 | 0.152 | 0.138 | 0.14875 | 0.46125 |
| (3,4) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |
| (4,5) | 0 | 0.241 | 0.234 | 0.152 | 0.06775 | 0.30525 | | 0 |
| | Omniscient:<br>fulldistances | Agentsβordinalprefs<br>andfacilitylocations | Onlyagentsβordinal<br>prefs(lowerbounds) |
| --- | --- | --- | --- |
| Total(Sum)SocialChoice | 1 | 3 | 5(3) |
| MedianSocialChoice | 1 | 3 | 5(5) |
| MinWeightBipartiteMatching | 1 | 3 | n(3) | | | EgalitarianBipartiteMatching | 1 | 3 | -(2) |
| --- | --- | --- | --- |
| FacilityLocation | 1.488 | 3.976 | β(β) |
| k-center | 2 | 5 | -(-) |
| k-median | 2.675 | 6.35 | -(β¦(n)) | | 1 |
| | Omniscient:<br>fulldistances | Agentsβordinalprefs<br>andfacilitylocations | Onlyagentsβordinal<br>prefs(lowerbounds) |
| --- | --- | --- | --- |
| Total(Sum)SocialChoice | 1 | 3 | 5(3) |
| MedianSocialChoice | 1 | 3 | 5(5) |
| MinWeightBipartiteMatching | 1 | 3 | n(3) | | | (2,4) | 0 | 0.1 | 0.152 | 0.138 | 0.14875 | 0.46125 |
| --- | --- | --- | --- | --- | --- | --- |
| (3,4) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |
| (4,5) | 0 | 0.241 | 0.234 | 0.152 | 0.06775 | 0.30525 | | 0 |
| | 3newslices | 2newslices | | | |
| --- | --- | --- | --- | --- | --- |
| #runs | 1 | 2 | 3 | 4 | 5 |
| initial | 8.73 | 9.01 | 8.89 | 6.54 | 6.98 | | | master<br>mintrack<br>maxtrack | 6.06<br>5.96<br>6.06 | 6.22<br>6.16<br>6.24 | 6.18<br>6.07<br>6.23 | 6.67<br>6.60<br>6.11 | 7.10<br>7.02<br>7.15 |
| --- | --- | --- | --- | --- | --- |
| total | 14.9 | 15.4 | 15.3 | 13.4 | 14.2 | | 1 |
| | 3newslices | 2newslices | | | |
| --- | --- | --- | --- | --- | --- |
| #runs | 1 | 2 | 3 | 4 | 5 |
| initial | 8.73 | 9.01 | 8.89 | 6.54 | 6.98 | | | 8<br>4<br>2 | 895542<br>1791084<br>3582168 | 934040<br>1808784<br>3585869 |
| --- | --- | --- |
| 8<br>4<br>2 | 3203546<br>6407091<br>7<br>1.2814Β·10 | 3219769<br>6427398<br>7<br>1.2827Β·10 |
| 8<br>4<br>2 | 8.928Β·10<br>9<br>1.7856Β·10<br>9<br>3.5712Β·10 | 8.9394Β·10<br>9<br>1.7871Β·10<br>9<br>3.573Β·10 |
| 8<br>4<br>2 | 1.2497Β·10<br>9<br>2.4995Β·10<br>9<br>4.9989Β·10 | 1.251Β·10<br>9<br>2.5005Β·10<br>9<br>4.9995Β·10 |
| 8 | 6.4582Β·10 | 6.4651Β·10 | | 0 |
| | 3newslices | 2newslices | | | |
| --- | --- | --- | --- | --- | --- |
| #runs | 1 | 2 | 3 | 4 | 5 | | | initial | 8.73 | 9.01 | 8.89 | 6.54 | 6.98 |
| --- | --- | --- | --- | --- | --- |
| master<br>mintrack<br>maxtrack | 6.06<br>5.96<br>6.06 | 6.22<br>6.16<br>6.24 | 6.18<br>6.07<br>6.23 | 6.67<br>6.60<br>6.11 | 7.10<br>7.02<br>7.15 |
| total | 14.9 | 15.4 | 15.3 | 13.4 | 14.2 | | 1 |
| | 3newslices | 2newslices | | | |
| --- | --- | --- | --- | --- | --- |
| #runs | 1 | 2 | 3 | 4 | 5 | | | 8<br>4<br>2 | 1.2497Β·10<br>9<br>2.4995Β·10<br>9<br>4.9989Β·10 | 1.251Β·10<br>9<br>2.5005Β·10<br>9<br>4.9995Β·10 |
| --- | --- | --- |
| 8 | 6.4582Β·10 | 6.4651Β·10 | | 0 |
| Class | Guptaet.al | RGB | Depth | RGB-D |
| --- | --- | --- | --- | --- |
| bedroom | 79 | 79.06 | 78.01 | 82.72 |
| kitchen | 74 | 65.09 | 60.38 | 75.47 |
| livingroom | 47 | 73.83 | 33.64 | 75.70 |
| bathroom | 67 | 89.66 | 81.03 | 96.55 |
| diningroom | 47 | 96.36 | 50.91 | 96.36 |
| oο¬ce | 24 | 63.16 | 13.16 | 71.05 |
| homeoο¬ce | 8.3 | 70.83 | 0.00 | 62.50 |
| classroom | 48 | 69.57 | 52.17 | 82.61 |
| bookstore | 64 | 100.00 | 72.73 | 100.00 | | | others | 15 | 85.37 | 39.02 | 95.12 |
| --- | --- | --- | --- | --- |
| meandiag.cm. | 47 | 79.29 | 48.11 | 83.81 |
| avg.accuracy | 58 | 77.52 | 55.81 | 82.42 | | 1 |
| Class | Guptaet.al | RGB | Depth | RGB-D |
| --- | --- | --- | --- | --- |
| bedroom | 79 | 79.06 | 78.01 | 82.72 |
| kitchen | 74 | 65.09 | 60.38 | 75.47 |
| livingroom | 47 | 73.83 | 33.64 | 75.70 |
| bathroom | 67 | 89.66 | 81.03 | 96.55 |
| diningroom | 47 | 96.36 | 50.91 | 96.36 |
| oο¬ce | 24 | 63.16 | 13.16 | 71.05 |
| homeoο¬ce | 8.3 | 70.83 | 0.00 | 62.50 |
| classroom | 48 | 69.57 | 52.17 | 82.61 |
| bookstore | 64 | 100.00 | 72.73 | 100.00 | | | category | ours | | |
| --- | --- | --- | --- |
| bathtub | 0.0152 | 0.0266 | 0.0621 |
| bed | 0.0068 | 0.0240 | 0.0617 |
| chair | 0.0118 | 0.0238 | 0.0444 |
| desk | 0.0122 | 0.0298 | 0.0731 |
| dresser | 0.0038 | 0.0384 | 0.1558 |
| monitor | 0.0103 | 0.0220 | 0.0783 |
| nightstand | 0.0080 | 0.0248 | 0.2925 |
| sofa | 0.0068 | 0.0186 | 0.0563 |
| table | 0.0051 | 0.0326 | 0.0340 |
| toilet | 0.0119 | 0.0180 | 0.0977 |
| Avg. | 0.0092 | 0.0259 | 0.0956 | | 0 |
| Class | Guptaet.al | RGB | Depth | RGB-D |
| --- | --- | --- | --- | --- |
| bedroom | 79 | 79.06 | 78.01 | 82.72 |
| kitchen | 74 | 65.09 | 60.38 | 75.47 |
| livingroom | 47 | 73.83 | 33.64 | 75.70 |
| bathroom | 67 | 89.66 | 81.03 | 96.55 | | | diningroom | 47 | 96.36 | 50.91 | 96.36 |
| --- | --- | --- | --- | --- |
| oο¬ce | 24 | 63.16 | 13.16 | 71.05 |
| homeoο¬ce | 8.3 | 70.83 | 0.00 | 62.50 |
| classroom | 48 | 69.57 | 52.17 | 82.61 |
| bookstore | 64 | 100.00 | 72.73 | 100.00 |
| others | 15 | 85.37 | 39.02 | 95.12 |
| meandiag.cm. | 47 | 79.29 | 48.11 | 83.81 |
| avg.accuracy | 58 | 77.52 | 55.81 | 82.42 | | 1 |
| Class | Guptaet.al | RGB | Depth | RGB-D |
| --- | --- | --- | --- | --- |
| bedroom | 79 | 79.06 | 78.01 | 82.72 |
| kitchen | 74 | 65.09 | 60.38 | 75.47 |
| livingroom | 47 | 73.83 | 33.64 | 75.70 |
| bathroom | 67 | 89.66 | 81.03 | 96.55 | | | desk | 0.0122 | 0.0298 | 0.0731 |
| --- | --- | --- | --- |
| dresser | 0.0038 | 0.0384 | 0.1558 |
| monitor | 0.0103 | 0.0220 | 0.0783 |
| nightstand | 0.0080 | 0.0248 | 0.2925 |
| sofa | 0.0068 | 0.0186 | 0.0563 |
| table | 0.0051 | 0.0326 | 0.0340 |
| toilet | 0.0119 | 0.0180 | 0.0977 |
| Avg. | 0.0092 | 0.0259 | 0.0956 | | 0 |
| GraphMotif | Static<br>SubgraphsTime | Ξ΄=1hour<br>SubgraphsTimeSpeedUp |
| --- | --- | --- |
| CollegeMSGM1<br>CollegeMSGM2<br>CollegeMSGM3<br>CollegeMSGM4<br>CollegeMSGM5<br>CollegeMSGM6 | 87618.8<br>238K43.2<br>1.57K19.3<br>482.18<br>202M9.88K<br>10.9M2.02K | 3.46K0.54634.5x<br>75.4K2.0421.1x<br>1.06K0.49938.6x<br>00.2967.38x<br>1.28M35.1281x<br>227K6.74300x |
| Email-EuM1<br>Email-EuM2<br>Email-EuM3<br>Email-EuM4<br>Email-EuM5<br>Email-EuM6 | 3.96K33.5<br>367K91.4<br>12.0K40.1<br>5544.99<br>57.7M7.18K<br>7.08M1.54K | 2581.1429.4x<br>30.1K1.8050.9x<br>4931.1534.7x<br>231.094.57x<br>4.71M13154.9x<br>31.1K2.45627x |
| GraphMotif | Static<br>SubgraphsTime | Ξ΄=1day<br>SubgraphsTimeSpeedUp | | | MathOverο¬owM1<br>MathOverο¬owM2<br>MathOverο¬owM3<br>MathOverο¬owM4<br>MathOverο¬owM5<br>MathOverο¬owM6 | 1.42M2.94K<br>218M11.4K<br>5.53M4.02K<br>285K2.34K<br>β>24hr<br>β>24hr | 20.0012.94Mx<br>2480.015760Kx<br>40.0014.02Mx<br>00.015156Kx<br>8050.031>2.79Mx<br>1.70K0.062>1.39Mx |
| --- | --- | --- |
| EnronM1<br>EnronM2<br>EnronM3<br>EnronM4<br>EnronM5<br>EnronM6 | 246K1.21K<br>119M4.51K<br>1.71M1.62K<br>33.3K55.6<br>β>24hr<br>β>24hr | 20.04626.3Kx<br>1.21K0.07857.9Kx<br>20.04734.4Kx<br>00.0471.18Kx<br>12.6M333>259x<br>2.33K0.28>309Kx | | 1 |
| GraphMotif | Static<br>SubgraphsTime | Ξ΄=1hour<br>SubgraphsTimeSpeedUp |
| --- | --- | --- |
| CollegeMSGM1<br>CollegeMSGM2<br>CollegeMSGM3<br>CollegeMSGM4<br>CollegeMSGM5<br>CollegeMSGM6 | 87618.8<br>238K43.2<br>1.57K19.3<br>482.18<br>202M9.88K<br>10.9M2.02K | 3.46K0.54634.5x<br>75.4K2.0421.1x<br>1.06K0.49938.6x<br>00.2967.38x<br>1.28M35.1281x<br>227K6.74300x |
| Email-EuM1<br>Email-EuM2<br>Email-EuM3<br>Email-EuM4<br>Email-EuM5<br>Email-EuM6 | 3.96K33.5<br>367K91.4<br>12.0K40.1<br>5544.99<br>57.7M7.18K<br>7.08M1.54K | 2581.1429.4x<br>30.1K1.8050.9x<br>4931.1534.7x<br>231.094.57x<br>4.71M13154.9x<br>31.1K2.45627x |
| GraphMotif | Static<br>SubgraphsTime | Ξ΄=1day<br>SubgraphsTimeSpeedUp | | | Graph | Nodes<br>(Million) | Edges<br>(Million) | Outdegrees<br>MaxAvgΟ |
| --- | --- | --- | --- |
| rmat20 | 1.05 | 8.26 | 1,1818177.40 |
| road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 |
| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |
| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 | | 0 |
| GraphMotif | Static<br>SubgraphsTime | Ξ΄=1hour<br>SubgraphsTimeSpeedUp |
| --- | --- | --- |
| CollegeMSGM1<br>CollegeMSGM2<br>CollegeMSGM3<br>CollegeMSGM4<br>CollegeMSGM5<br>CollegeMSGM6 | 87618.8<br>238K43.2<br>1.57K19.3<br>482.18<br>202M9.88K<br>10.9M2.02K | 3.46K0.54634.5x<br>75.4K2.0421.1x<br>1.06K0.49938.6x<br>00.2967.38x<br>1.28M35.1281x<br>227K6.74300x | | | Email-EuM1<br>Email-EuM2<br>Email-EuM3<br>Email-EuM4<br>Email-EuM5<br>Email-EuM6 | 3.96K33.5<br>367K91.4<br>12.0K40.1<br>5544.99<br>57.7M7.18K<br>7.08M1.54K | 2581.1429.4x<br>30.1K1.8050.9x<br>4931.1534.7x<br>231.094.57x<br>4.71M13154.9x<br>31.1K2.45627x |
| --- | --- | --- |
| GraphMotif | Static<br>SubgraphsTime | Ξ΄=1day<br>SubgraphsTimeSpeedUp |
| MathOverο¬owM1<br>MathOverο¬owM2<br>MathOverο¬owM3<br>MathOverο¬owM4<br>MathOverο¬owM5<br>MathOverο¬owM6 | 1.42M2.94K<br>218M11.4K<br>5.53M4.02K<br>285K2.34K<br>β>24hr<br>β>24hr | 20.0012.94Mx<br>2480.015760Kx<br>40.0014.02Mx<br>00.015156Kx<br>8050.031>2.79Mx<br>1.70K0.062>1.39Mx |
| EnronM1<br>EnronM2<br>EnronM3<br>EnronM4<br>EnronM5<br>EnronM6 | 246K1.21K<br>119M4.51K<br>1.71M1.62K<br>33.3K55.6<br>β>24hr<br>β>24hr | 20.04626.3Kx<br>1.21K0.07857.9Kx<br>20.04734.4Kx<br>00.0471.18Kx<br>12.6M333>259x<br>2.33K0.28>309Kx | | 1 |
| GraphMotif | Static<br>SubgraphsTime | Ξ΄=1hour<br>SubgraphsTimeSpeedUp |
| --- | --- | --- |
| CollegeMSGM1<br>CollegeMSGM2<br>CollegeMSGM3<br>CollegeMSGM4<br>CollegeMSGM5<br>CollegeMSGM6 | 87618.8<br>238K43.2<br>1.57K19.3<br>482.18<br>202M9.88K<br>10.9M2.02K | 3.46K0.54634.5x<br>75.4K2.0421.1x<br>1.06K0.49938.6x<br>00.2967.38x<br>1.28M35.1281x<br>227K6.74300x | | | road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 |
| --- | --- | --- | --- |
| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |
| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 | | 0 |
| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |
| --- |
| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |
| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |
| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |
| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |
| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |
| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |
| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 | | | -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |
| --- |
| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 |
| -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |
| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |
| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |
| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |
| -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 |
| -surlβensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 | | 1 |
| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |
| --- |
| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |
| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |
| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |
| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |
| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |
| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |
| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 | | | -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |
| --- |
| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |
| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |
| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |
| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |
| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |
| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |
| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |
| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |
| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 |
| -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |
| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |
| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |
| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |
| -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 |
| -surlβensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 | | 0 |
| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |
| --- |
| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |
| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |
| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |
| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |
| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |
| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |
| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |
| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |
| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 | | | -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |
| --- |
| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |
| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |
| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |
| -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 |
| -surlβensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 | | 1 |
| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |
| --- |
| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |
| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |
| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |
| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |
| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |
| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |
| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |
| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |
| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 | | | -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |
| --- |
| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |
| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |
| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |
| -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 |
| -surlβensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 | | 0 |
| Algorithms | Memory(MB) |
| --- | --- |
| VGG | 2459.8 |
| SSDGoogleNet | 320.4 | | | SqueezeNet | 145.3 |
| --- | --- |
| MobileNet | 172.2 |
| L-CNN | 139.5 | | 1 |
| Algorithms | Memory(MB) |
| --- | --- |
| VGG | 2459.8 |
| SSDGoogleNet | 320.4 | | | CNN | Imageresolution | RunTime(ms) |
| --- | --- | --- |
| AlexNet | 227Γ227 | 2.3 |
| VGG16 | 224Γ224 | 10 |
| Resnet50 | 224Γ224 | 17 |
| SqueezeNet | 224Γ224 | 2.5 |
| SqueezeNet | 448Γ448 | 4 |
| SqueezeNet | 625Γ625 | 6 | | 0 |
| Algorithms | Memory(MB) |
| --- | --- |
| VGG | 2459.8 | | | SSDGoogleNet | 320.4 |
| --- | --- |
| SqueezeNet | 145.3 |
| MobileNet | 172.2 |
| L-CNN | 139.5 | | 1 |
| Algorithms | Memory(MB) |
| --- | --- |
| VGG | 2459.8 | | | SqueezeNet | 224Γ224 | 2.5 |
| --- | --- | --- |
| SqueezeNet | 448Γ448 | 4 |
| SqueezeNet | 625Γ625 | 6 | | 0 |
| | SDR(dB) | SIR(dB) | SAR(dB) | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | MDLD | GaussSep | MDLD | GaussSep | MDLD | GaussSep | | | Dev3Female3 | 6.02 | 16.93 | 23.84 | 22.43 | 6.17 | 18.40 |
| --- | --- | --- | --- | --- | --- | --- |
| Example3Γ5 | 3.91 | 9.94 | 17.92 | 15.21 | 4.17 | 11.68 |
| Example4Γ8 | 2.24 | -18.63 | 16.4 | -17.58 | 2.52 | 9.39 | | 1 |
| | SDR(dB) | SIR(dB) | SAR(dB) | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | MDLD | GaussSep | MDLD | GaussSep | MDLD | GaussSep | | | | 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 |
| Example3Γ5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 |
| Example4Γ8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 | | 0 |
| | SDR(dB) | SIR(dB) | SAR(dB) | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | MDLD | GaussSep | MDLD | GaussSep | MDLD | GaussSep | | | Dev3Female3 | 6.02 | 16.93 | 23.84 | 22.43 | 6.17 | 18.40 |
| --- | --- | --- | --- | --- | --- | --- |
| Example3Γ5 | 3.91 | 9.94 | 17.92 | 15.21 | 4.17 | 11.68 |
| Example4Γ8 | 2.24 | -18.63 | 16.4 | -17.58 | 2.52 | 9.39 | | 1 |
| | SDR(dB) | SIR(dB) | SAR(dB) | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | MDLD | GaussSep | MDLD | GaussSep | MDLD | GaussSep | | | Example3Γ5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Example4Γ8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 | | 0 |
| UL<br>GN |
| --- |
| UL<br>GN |
| UL<br>GN | | | UL<br>GN |
| --- |
| UL<br>GN | | 1 |
| UL<br>GN |
| --- |
| UL<br>GN |
| UL<br>GN | | | |
| --- |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL | | 0 |
| UL<br>GN |
| --- |
| UL<br>GN |
| UL<br>GN | | | UL<br>GN |
| --- |
| UL<br>GN | | 1 |
| UL<br>GN |
| --- |
| UL<br>GN |
| UL<br>GN | | | SL<br>DRL |
| --- |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL | | 0 |
| Class(Tissuetype) | T<br>Labely |
| --- | --- |
| class1(BK) | (1,0,0,0,0) | | | class2(LP) | (0,1,0,0,0) |
| --- | --- |
| class3(FT) | (0,0,1,0,0) |
| class4(MT) | (0,0,0,1,0) |
| class5(CA) | (0,0,0,0,1) | | 1 |
| Class(Tissuetype) | T<br>Labely |
| --- | --- |
| class1(BK) | (1,0,0,0,0) | | | TypeofLesion | Class |
| --- | --- |
| Healthy/NoLesionandBackground | 0 |
| NecroticRegion | 1 |
| Edema | 2 |
| NonEnhancingTumor | 3 |
| EnhancingTumor | 4 | | 0 |
| Class(Tissuetype) | T<br>Labely |
| --- | --- |
| class1(BK) | (1,0,0,0,0) |
| class2(LP) | (0,1,0,0,0) |
| class3(FT) | (0,0,1,0,0) | | | class4(MT) | (0,0,0,1,0) |
| --- | --- |
| class5(CA) | (0,0,0,0,1) | | 1 |
| Class(Tissuetype) | T<br>Labely |
| --- | --- |
| class1(BK) | (1,0,0,0,0) |
| class2(LP) | (0,1,0,0,0) |
| class3(FT) | (0,0,1,0,0) | | | NonEnhancingTumor | 3 |
| --- | --- |
| EnhancingTumor | 4 | | 0 |
| | SubgamePerfect<br>Equilibrium | PerfectPrediction<br>Equilibrium |
| --- | --- | --- |
| FormoftheGame | Extensive | Extensive |
| PerfectInformation | Yes | Yes |
| Numberofplayers | Any | Any |
| NewcombChoice | Twoboxes | Onebox |
| PredictionModel<br>accountingfor<br>counterfactuals | Ad-HocPrediction<br>(βcouldhave<br>beenwrongβ) | PerfectPrediction<br>(βwouldalso<br>havebeenrightβ) |
| RelationshipwiththePast | Cournot-like | Stackelberg-like |
| Reasoning | BackwardInduction | ForwardInduction |
| Indiο¬erencebetweenpayoο¬s | Allowed | Notallowedinprinciple | | | Existence | Always | Always |
| --- | --- | --- |
| Uniqueness | Always | Always |
| Optimality | - | Pareto |
| Corresponding<br>NormalForm | Nash<br>(subsuming) | Superrationality(notestablished/<br>conceptuallysimilar) | | 1 |
| | SubgamePerfect<br>Equilibrium | PerfectPrediction<br>Equilibrium |
| --- | --- | --- |
| FormoftheGame | Extensive | Extensive |
| PerfectInformation | Yes | Yes |
| Numberofplayers | Any | Any |
| NewcombChoice | Twoboxes | Onebox |
| PredictionModel<br>accountingfor<br>counterfactuals | Ad-HocPrediction<br>(βcouldhave<br>beenwrongβ) | PerfectPrediction<br>(βwouldalso<br>havebeenrightβ) |
| RelationshipwiththePast | Cournot-like | Stackelberg-like |
| Reasoning | BackwardInduction | ForwardInduction |
| Indiο¬erencebetweenpayoο¬s | Allowed | Notallowedinprinciple | | | Criterion | MANCaLog | IC/LT | SNOP | CD | EGT/VM |
| --- | --- | --- | --- | --- | --- |
| 1.Labels | Yes | No | Yes | Yes | No |
| 2.ExplicitRepresentationofTime | Yes | No | Yes | No | Yes |
| 3.Non-MarkovianTemporalRelationships | Yes | No | No | No | No |
| 4.Uncertainty | Yes | Yes | Yes | Yes | Yes |
| 5.CompetingCascades | Yes | No | No | Yes | Yes |
| 6.Non-monotonicCascades | Yes | No | No | Yes | Yes |
| 7.Tractablity | PTIME | #P-hard | PTIME | PTIME | NP-hard | | 0 |
| | SubgamePerfect<br>Equilibrium | PerfectPrediction<br>Equilibrium |
| --- | --- | --- |
| FormoftheGame | Extensive | Extensive |
| PerfectInformation | Yes | Yes |
| Numberofplayers | Any | Any |
| NewcombChoice | Twoboxes | Onebox |
| PredictionModel<br>accountingfor<br>counterfactuals | Ad-HocPrediction<br>(βcouldhave<br>beenwrongβ) | PerfectPrediction<br>(βwouldalso<br>havebeenrightβ) |
| RelationshipwiththePast | Cournot-like | Stackelberg-like |
| Reasoning | BackwardInduction | ForwardInduction |
| Indiο¬erencebetweenpayoο¬s | Allowed | Notallowedinprinciple |
| Existence | Always | Always | | | Uniqueness | Always | Always |
| --- | --- | --- |
| Optimality | - | Pareto |
| Corresponding<br>NormalForm | Nash<br>(subsuming) | Superrationality(notestablished/<br>conceptuallysimilar) | | 1 |
| | SubgamePerfect<br>Equilibrium | PerfectPrediction<br>Equilibrium |
| --- | --- | --- |
| FormoftheGame | Extensive | Extensive |
| PerfectInformation | Yes | Yes |
| Numberofplayers | Any | Any |
| NewcombChoice | Twoboxes | Onebox |
| PredictionModel<br>accountingfor<br>counterfactuals | Ad-HocPrediction<br>(βcouldhave<br>beenwrongβ) | PerfectPrediction<br>(βwouldalso<br>havebeenrightβ) |
| RelationshipwiththePast | Cournot-like | Stackelberg-like |
| Reasoning | BackwardInduction | ForwardInduction |
| Indiο¬erencebetweenpayoο¬s | Allowed | Notallowedinprinciple |
| Existence | Always | Always | | | 2.ExplicitRepresentationofTime | Yes | No | Yes | No | Yes |
| --- | --- | --- | --- | --- | --- |
| 3.Non-MarkovianTemporalRelationships | Yes | No | No | No | No |
| 4.Uncertainty | Yes | Yes | Yes | Yes | Yes |
| 5.CompetingCascades | Yes | No | No | Yes | Yes |
| 6.Non-monotonicCascades | Yes | No | No | Yes | Yes |
| 7.Tractablity | PTIME | #P-hard | PTIME | PTIME | NP-hard | | 0 |
| category | ours | | |
| --- | --- | --- | --- |
| bathtub | 0.0152 | 0.0266 | 0.0621 |
| bed | 0.0068 | 0.0240 | 0.0617 | | | chair | 0.0118 | 0.0238 | 0.0444 |
| --- | --- | --- | --- |
| desk | 0.0122 | 0.0298 | 0.0731 |
| dresser | 0.0038 | 0.0384 | 0.1558 |
| monitor | 0.0103 | 0.0220 | 0.0783 |
| nightstand | 0.0080 | 0.0248 | 0.2925 |
| sofa | 0.0068 | 0.0186 | 0.0563 |
| table | 0.0051 | 0.0326 | 0.0340 |
| toilet | 0.0119 | 0.0180 | 0.0977 |
| Avg. | 0.0092 | 0.0259 | 0.0956 | | 1 |
| category | ours | | |
| --- | --- | --- | --- |
| bathtub | 0.0152 | 0.0266 | 0.0621 |
| bed | 0.0068 | 0.0240 | 0.0617 | | | category | ours | | | |
| --- | --- | --- | --- | --- |
| bathtub | 0.8348 | 0.7017 | 0.7190 | 0.1644 |
| bed | 0.9202 | 0.7775 | 0.3963 | 0.3239 |
| chair | 0.9920 | 0.9700 | 0.9892 | 0.8482 |
| desk | 0.8203 | 0.7936 | 0.8145 | 0.1068 |
| dresser | 0.7678 | 0.6314 | 0.7010 | 0.2166 |
| monitor | 0.9473 | 0.2493 | 0.8559 | 0.2767 |
| nightstand | 0.7195 | 0.6853 | 0.6592 | 0.4969 |
| sofa | 0.9480 | 0.9276 | 0.3017 | 0.4888 |
| table | 0.8910 | 0.8377 | 0.8751 | 0.7902 |
| toilet | 0.9701 | 0.8569 | 0.6943 | 0.8832 |
| Avg. | 0.8811 | 0.7431 | 0.7006 | 0.4596 | | 0 |
| category | ours | | |
| --- | --- | --- | --- |
| bathtub | 0.0152 | 0.0266 | 0.0621 |
| bed | 0.0068 | 0.0240 | 0.0617 |
| chair | 0.0118 | 0.0238 | 0.0444 |
| desk | 0.0122 | 0.0298 | 0.0731 |
| dresser | 0.0038 | 0.0384 | 0.1558 |
| monitor | 0.0103 | 0.0220 | 0.0783 | | | nightstand | 0.0080 | 0.0248 | 0.2925 |
| --- | --- | --- | --- |
| sofa | 0.0068 | 0.0186 | 0.0563 |
| table | 0.0051 | 0.0326 | 0.0340 |
| toilet | 0.0119 | 0.0180 | 0.0977 |
| Avg. | 0.0092 | 0.0259 | 0.0956 | | 1 |
| category | ours | | |
| --- | --- | --- | --- |
| bathtub | 0.0152 | 0.0266 | 0.0621 |
| bed | 0.0068 | 0.0240 | 0.0617 |
| chair | 0.0118 | 0.0238 | 0.0444 |
| desk | 0.0122 | 0.0298 | 0.0731 |
| dresser | 0.0038 | 0.0384 | 0.1558 |
| monitor | 0.0103 | 0.0220 | 0.0783 | | | table | 0.8910 | 0.8377 | 0.8751 | 0.7902 |
| --- | --- | --- | --- | --- |
| toilet | 0.9701 | 0.8569 | 0.6943 | 0.8832 |
| Avg. | 0.8811 | 0.7431 | 0.7006 | 0.4596 | | 0 |
| Facet | Numberofmanually<br>deο¬nedclusters | Hierarchicalclustering | Non-hierarchicalclustering | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Purity | I-Purity | F1 | Purity | I-Purity | F1 | | |
| Battery | 4 | 0.864 | 0.591 | 0.702 | 0.864 | 0.636 | 0.733 |
| Memory | 3 | 0.643 | 1.000 | 0.783 | 0.643 | 0.786 | 0.707 |
| Flash | 4 | 0.556 | 0.722 | 0.628 | 0.667 | 0.722 | 0.693 |
| LCD | 6 | 0.478 | 0.826 | 0.606 | 0.565 | 1.000 | 0.722 |
| Lens | 7 | 0.792 | 1.000 | 0.884 | 0.792 | 1.000 | 0.884 |
| Megapixels | 5 | 0.621 | 0.483 | 0.543 | 0.724 | 0.552 | 0.626 |
| Mode | 6 | 0.813 | 1.000 | 0.897 | 0.813 | 1.000 | 0.897 | | | Shutter | 6 | 0.643 | 0.929 | 0.760 | 0.643 | 0.929 | 0.760 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Average | 5.13 | 0.676 | 0.819 | 0.725 | 0.714 | 0.828 | 0.753 |
| Battery | 3 | 0.824 | 0.765 | 0.793 | 0.765 | 0.706 | 0.734 |
| Camera | 3 | 0.727 | 0.636 | 0.679 | 0.727 | 0.636 | 0.679 |
| Headset | 4 | 0.467 | 0.733 | 0.570 | 0.400 | 0.600 | 0.480 |
| Radio | 3 | 0.737 | 0.737 | 0.737 | 0.737 | 0.737 | 0.737 |
| Service | 5 | 0.438 | 0.875 | 0.583 | 0.563 | 1.000 | 0.720 |
| Signal | 3 | 0.824 | 0.941 | 0.878 | 0.824 | 0.765 | 0.793 |
| Size | 3 | 0.760 | 0.680 | 0.718 | 0.920 | 0.680 | 0.782 |
| Speaker | 4 | 0.684 | 0.895 | 0.775 | 0.684 | 0.789 | 0.733 |
| Average | 3.50 | 0.682 | 0.783 | 0.717 | 0.702 | 0.739 | 0.722 |
| Price | 1 | 1.000 | 0.714 | 0.833 | 1.000 | 0.762 | 0.865 |
| Remote | 4 | 0.625 | 0.750 | 0.682 | 0.563 | 0.750 | 0.643 |
| Format | 1 | 1.000 | 0.714 | 0.833 | 1.000 | 0.571 | 0.727 |
| Design | 1 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| Service | 1 | 1.000 | 0.739 | 0.850 | 1.000 | 0.522 | 0.686 |
| Picture | 4 | 0.800 | 0.850 | 0.824 | 0.800 | 0.850 | 0.824 |
| Average | 2.00 | 0.904 | 0.795 | 0.837 | 0.894 | 0.743 | 0.791 | | 1 |
| Facet | Numberofmanually<br>deο¬nedclusters | Hierarchicalclustering | Non-hierarchicalclustering | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Purity | I-Purity | F1 | Purity | I-Purity | F1 | | |
| Battery | 4 | 0.864 | 0.591 | 0.702 | 0.864 | 0.636 | 0.733 |
| Memory | 3 | 0.643 | 1.000 | 0.783 | 0.643 | 0.786 | 0.707 |
| Flash | 4 | 0.556 | 0.722 | 0.628 | 0.667 | 0.722 | 0.693 |
| LCD | 6 | 0.478 | 0.826 | 0.606 | 0.565 | 1.000 | 0.722 |
| Lens | 7 | 0.792 | 1.000 | 0.884 | 0.792 | 1.000 | 0.884 |
| Megapixels | 5 | 0.621 | 0.483 | 0.543 | 0.724 | 0.552 | 0.626 |
| Mode | 6 | 0.813 | 1.000 | 0.897 | 0.813 | 1.000 | 0.897 | | | | 5VirtualLandscapeDatasets | 7VirtualLandscapeDatasets | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| N-based | G-based | I-based | N-based | G-based | I-based | N-based | |
| Accuracy | 0.9931 | 0.9950 | 0.9927 | 0.9939 | 0.9950 | 0.9930 | 0.9936 |
| Precision | 0.6154 | 0.7080 | 0.7143 | 0.5820 | 0.7080 | 0.7590 | 0.6939 |
| Recall | 0.5161 | 0.6452 | 0.4839 | 0.5726 | 0.6452 | 0.5081 | 0.5484 |
| F-measure | 0.5614 | 0.6751 | 0.5769 | 0.5772 | 0.6751 | 0.6087 | 0.6126 |
| R.T(second) | 2.74 | 2.67 | 2.41 | 3.29 | 3.30 | 3.44 | 4.69 |
| M.U(MB) | 0.42 | 0.42 | 0.42 | 0.42 | 0.42 | 0.42 | 0.42 | | 0 |
| Facet | Numberofmanually<br>deο¬nedclusters | Hierarchicalclustering | Non-hierarchicalclustering | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Purity | I-Purity | F1 | Purity | I-Purity | F1 | | |
| Battery | 4 | 0.864 | 0.591 | 0.702 | 0.864 | 0.636 | 0.733 |
| Memory | 3 | 0.643 | 1.000 | 0.783 | 0.643 | 0.786 | 0.707 |
| Flash | 4 | 0.556 | 0.722 | 0.628 | 0.667 | 0.722 | 0.693 |
| LCD | 6 | 0.478 | 0.826 | 0.606 | 0.565 | 1.000 | 0.722 |
| Lens | 7 | 0.792 | 1.000 | 0.884 | 0.792 | 1.000 | 0.884 |
| Megapixels | 5 | 0.621 | 0.483 | 0.543 | 0.724 | 0.552 | 0.626 |
| Mode | 6 | 0.813 | 1.000 | 0.897 | 0.813 | 1.000 | 0.897 |
| Shutter | 6 | 0.643 | 0.929 | 0.760 | 0.643 | 0.929 | 0.760 |
| Average | 5.13 | 0.676 | 0.819 | 0.725 | 0.714 | 0.828 | 0.753 |
| Battery | 3 | 0.824 | 0.765 | 0.793 | 0.765 | 0.706 | 0.734 |
| Camera | 3 | 0.727 | 0.636 | 0.679 | 0.727 | 0.636 | 0.679 |
| Headset | 4 | 0.467 | 0.733 | 0.570 | 0.400 | 0.600 | 0.480 |
| Radio | 3 | 0.737 | 0.737 | 0.737 | 0.737 | 0.737 | 0.737 |
| Service | 5 | 0.438 | 0.875 | 0.583 | 0.563 | 1.000 | 0.720 |
| Signal | 3 | 0.824 | 0.941 | 0.878 | 0.824 | 0.765 | 0.793 |
| Size | 3 | 0.760 | 0.680 | 0.718 | 0.920 | 0.680 | 0.782 |
| Speaker | 4 | 0.684 | 0.895 | 0.775 | 0.684 | 0.789 | 0.733 |
| Average | 3.50 | 0.682 | 0.783 | 0.717 | 0.702 | 0.739 | 0.722 |
| Price | 1 | 1.000 | 0.714 | 0.833 | 1.000 | 0.762 | 0.865 |
| Remote | 4 | 0.625 | 0.750 | 0.682 | 0.563 | 0.750 | 0.643 | | | Format | 1 | 1.000 | 0.714 | 0.833 | 1.000 | 0.571 | 0.727 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Design | 1 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| Service | 1 | 1.000 | 0.739 | 0.850 | 1.000 | 0.522 | 0.686 |
| Picture | 4 | 0.800 | 0.850 | 0.824 | 0.800 | 0.850 | 0.824 |
| Average | 2.00 | 0.904 | 0.795 | 0.837 | 0.894 | 0.743 | 0.791 | | 1 |
| Facet | Numberofmanually<br>deο¬nedclusters | Hierarchicalclustering | Non-hierarchicalclustering | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Purity | I-Purity | F1 | Purity | I-Purity | F1 | | |
| Battery | 4 | 0.864 | 0.591 | 0.702 | 0.864 | 0.636 | 0.733 |
| Memory | 3 | 0.643 | 1.000 | 0.783 | 0.643 | 0.786 | 0.707 |
| Flash | 4 | 0.556 | 0.722 | 0.628 | 0.667 | 0.722 | 0.693 |
| LCD | 6 | 0.478 | 0.826 | 0.606 | 0.565 | 1.000 | 0.722 |
| Lens | 7 | 0.792 | 1.000 | 0.884 | 0.792 | 1.000 | 0.884 |
| Megapixels | 5 | 0.621 | 0.483 | 0.543 | 0.724 | 0.552 | 0.626 |
| Mode | 6 | 0.813 | 1.000 | 0.897 | 0.813 | 1.000 | 0.897 |
| Shutter | 6 | 0.643 | 0.929 | 0.760 | 0.643 | 0.929 | 0.760 |
| Average | 5.13 | 0.676 | 0.819 | 0.725 | 0.714 | 0.828 | 0.753 |
| Battery | 3 | 0.824 | 0.765 | 0.793 | 0.765 | 0.706 | 0.734 |
| Camera | 3 | 0.727 | 0.636 | 0.679 | 0.727 | 0.636 | 0.679 |
| Headset | 4 | 0.467 | 0.733 | 0.570 | 0.400 | 0.600 | 0.480 |
| Radio | 3 | 0.737 | 0.737 | 0.737 | 0.737 | 0.737 | 0.737 |
| Service | 5 | 0.438 | 0.875 | 0.583 | 0.563 | 1.000 | 0.720 |
| Signal | 3 | 0.824 | 0.941 | 0.878 | 0.824 | 0.765 | 0.793 |
| Size | 3 | 0.760 | 0.680 | 0.718 | 0.920 | 0.680 | 0.782 |
| Speaker | 4 | 0.684 | 0.895 | 0.775 | 0.684 | 0.789 | 0.733 |
| Average | 3.50 | 0.682 | 0.783 | 0.717 | 0.702 | 0.739 | 0.722 |
| Price | 1 | 1.000 | 0.714 | 0.833 | 1.000 | 0.762 | 0.865 |
| Remote | 4 | 0.625 | 0.750 | 0.682 | 0.563 | 0.750 | 0.643 | | | R.T(second) | 2.74 | 2.67 | 2.41 | 3.29 | 3.30 | 3.44 | 4.69 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| M.U(MB) | 0.42 | 0.42 | 0.42 | 0.42 | 0.42 | 0.42 | 0.42 | | 0 |
| Method | #ofHiddenLayers | #ofHiddenUnits |
| --- | --- | --- |
| 1DVector | One | 200;400;600;800;1000 | | | Two | [200,200];[400,400];[600,600];[800,800] | |
| --- | --- | --- |
| 2DConvolving | One | 144;169;196;255;256;289 |
| Two | [361,100] | | | 1 |
| Method | #ofHiddenLayers | #ofHiddenUnits |
| --- | --- | --- |
| 1DVector | One | 200;400;600;800;1000 | | | 2DConvolutional(ο¬lters=64,kernelsize=3,activation=βreluβ,padding=βsameβ) |
| --- |
| 2DConvolutional(ο¬lters=64,kernelsize=3,activation=βreluβ,padding=βsameβ) |
| 2DConvolutional(ο¬lters=64,kernelsize=3,activation=βreluβ,padding=βsameβ) |
| MaxPooling(poolsize=(2,2),strides=(2,2)) |
| 2DConvolutional(ο¬lters=128,kernelsize=3,activation=βreluβ,padding=βsameβ) |
| 2DConvolutional(ο¬lters=128,kernelsize=3,activation=βreluβ,padding=βsameβ) |
| 2DConvolutional(ο¬lters=128,kernelsize=3,activation=βreluβ,padding=βsameβ) |
| MaxPooling(poolsize=(2,2),strides=(2,2)) |
| 2DConvolutional(ο¬lters=256,kernelsize=3,activation=βreluβ,padding=βsameβ) |
| 2DConvolutional(ο¬lters=256,kernelsize=3,activation=βreluβ,padding=βsameβ) |
| 2DConvolutional(ο¬lters=256,kernelsize=3,activation=βreluβ,padding=βsameβ) |
| MaxPooling(poolsize=(2,2),strides=(2,2)) |
| 2DConvolutional(ο¬lters=512,kernelsize=3,activation=βreluβ,padding=βsameβ) |
| 2DConvolutional(ο¬lters=512,kernelsize=3,activation=βreluβ,padding=βsameβ) |
| 2DConvolutional(ο¬lters=512,kernelsize=3,activation=βreluβ,padding=βsameβ) |
| MaxPooling(poolsize=(2,2),strides=(2,2)) |
| Dense(1024,activation=βreluβ) |
| Dropout(0.5) |
| Dense(512,activation=βreluβ) |
| Dropout(0.5) |
| Dense(1,activation=None) | | 0 |
| Method | #ofHiddenLayers | #ofHiddenUnits |
| --- | --- | --- |
| 1DVector | One | 200;400;600;800;1000 | | | Two | [200,200];[400,400];[600,600];[800,800] | |
| --- | --- | --- |
| 2DConvolving | One | 144;169;196;255;256;289 |
| Two | [361,100] | | | 1 |
| Method | #ofHiddenLayers | #ofHiddenUnits |
| --- | --- | --- |
| 1DVector | One | 200;400;600;800;1000 | | | 2DConvolutional(ο¬lters=512,kernelsize=3,activation=βreluβ,padding=βsameβ) |
| --- |
| 2DConvolutional(ο¬lters=512,kernelsize=3,activation=βreluβ,padding=βsameβ) |
| 2DConvolutional(ο¬lters=512,kernelsize=3,activation=βreluβ,padding=βsameβ) |
| MaxPooling(poolsize=(2,2),strides=(2,2)) |
| Dense(1024,activation=βreluβ) |
| Dropout(0.5) |
| Dense(512,activation=βreluβ) |
| Dropout(0.5) |
| Dense(1,activation=None) | | 0 |
| Dataset | WSim(SIM) | WSim(REL) | | |
| --- | --- | --- | --- | --- |
| Window | 2 | 3 | 2 | 3 |
| CosFreq | 0.208 | 0.158 | 0.167 | 0.175 |
| CosLMI | 0.416 | 0.395 | 0.251 | 0.269 |
| CosPPMI | 0.52 | 0.496 | 0.378 | 0.396 |
| CosSVD-Freq300 | 0.240 | 0.214 | 0.051 | 0.084 |
| CosSVD-LMI300 | 0.418 | 0.393 | 0.141 | 0.151 |
| CosSVD-PPMI300 | 0.550 | 0.522 | 0.325 | 0.323 | | | APSynLMI-1000 | 0.32 | 0.29 | 0.259 | 0.241 |
| --- | --- | --- | --- | --- |
| APSynLMI-500 | 0.355 | 0.319 | 0.261 | 0.284 |
| APSynLMI-100 | 0.388 | 0.335 | 0.233 | 0.27 |
| APSynPPMI-1000 | 0.519 | 0.525 | 0.337 | 0.397 |
| APSynPPMI-500 | 0.564 | 0.546 | 0.361 | 0.382 |
| PMIAPSynPPMI-100 | 0.562 | 0.553 | 0.287 | 0.309 | | 1 |
| Dataset | WSim(SIM) | WSim(REL) | | |
| --- | --- | --- | --- | --- |
| Window | 2 | 3 | 2 | 3 |
| CosFreq | 0.208 | 0.158 | 0.167 | 0.175 |
| CosLMI | 0.416 | 0.395 | 0.251 | 0.269 |
| CosPPMI | 0.52 | 0.496 | 0.378 | 0.396 |
| CosSVD-Freq300 | 0.240 | 0.214 | 0.051 | 0.084 |
| CosSVD-LMI300 | 0.418 | 0.393 | 0.141 | 0.151 |
| CosSVD-PPMI300 | 0.550 | 0.522 | 0.325 | 0.323 | | | Dataset | WSim(SIM) | WSim(REL) | | |
| --- | --- | --- | --- | --- |
| Window | 2 | 3 | 2 | 3 |
| CosFreq | 0.335 | 0.334 | 0.03 | 0.05 |
| CosLMI | 0.638 | 0.663 | 0.293 | 0.34 |
| CosPPMI | 0.672 | 0.675 | 0.441 | 0.446 |
| CosSVD-Freq300 | 0.35 | 0.363 | -0.013 | 0.001 |
| CosSVD-LMI300 | 0.604 | 0.626 | 0.222 | 0.286 |
| CosSVD-PPMI300 | 0.72 | 0.725 | 0.444 | 0.486 |
| APSynLMI-1000 | 0.609 | 0.609 | 0.317 | 0.36 |
| APSynLMI-500 | 0.599 | 0.601 | 0.289 | 0.344 |
| APSynLMI-100 | 0.566 | 0.574 | 0.215 | 0.271 |
| APSynPPMI-1000 | 0.692 | 0.726 | 0.507 | 0.568 |
| APSynPPMI-500 | 0.699 | 0.742 | 0.508 | 0.571 |
| APSynPPMI-100 | 0.66 | 0.692 | 0.482 | 0.516 | | 0 |
| Dataset | WSim(SIM) | WSim(REL) | | |
| --- | --- | --- | --- | --- |
| Window | 2 | 3 | 2 | 3 |
| CosFreq | 0.208 | 0.158 | 0.167 | 0.175 | | | CosLMI | 0.416 | 0.395 | 0.251 | 0.269 |
| --- | --- | --- | --- | --- |
| CosPPMI | 0.52 | 0.496 | 0.378 | 0.396 |
| CosSVD-Freq300 | 0.240 | 0.214 | 0.051 | 0.084 |
| CosSVD-LMI300 | 0.418 | 0.393 | 0.141 | 0.151 |
| CosSVD-PPMI300 | 0.550 | 0.522 | 0.325 | 0.323 |
| APSynLMI-1000 | 0.32 | 0.29 | 0.259 | 0.241 |
| APSynLMI-500 | 0.355 | 0.319 | 0.261 | 0.284 |
| APSynLMI-100 | 0.388 | 0.335 | 0.233 | 0.27 |
| APSynPPMI-1000 | 0.519 | 0.525 | 0.337 | 0.397 |
| APSynPPMI-500 | 0.564 | 0.546 | 0.361 | 0.382 |
| PMIAPSynPPMI-100 | 0.562 | 0.553 | 0.287 | 0.309 | | 1 |
| Dataset | WSim(SIM) | WSim(REL) | | |
| --- | --- | --- | --- | --- |
| Window | 2 | 3 | 2 | 3 |
| CosFreq | 0.208 | 0.158 | 0.167 | 0.175 | | | APSynLMI-1000 | 0.609 | 0.609 | 0.317 | 0.36 |
| --- | --- | --- | --- | --- |
| APSynLMI-500 | 0.599 | 0.601 | 0.289 | 0.344 |
| APSynLMI-100 | 0.566 | 0.574 | 0.215 | 0.271 |
| APSynPPMI-1000 | 0.692 | 0.726 | 0.507 | 0.568 |
| APSynPPMI-500 | 0.699 | 0.742 | 0.508 | 0.571 |
| APSynPPMI-100 | 0.66 | 0.692 | 0.482 | 0.516 | | 0 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Γ | 1in1,000 | ForSwedishnames |
| Ο | 1in5 | Commoninmath | | | $ | 4in5 | Usedinbusiness |
| --- | --- | --- |
| Ξ¨ | 1in40,000 | Unexplainedusage | | 1 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Γ | 1in1,000 | ForSwedishnames |
| Ο | 1in5 | Commoninmath | | | Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Γ | 1in1,000 | ForSwedishnames |
| Ο | 1in5 | Commoninmath |
| $ | 4in5 | Usedinbusiness |
| Ξ¨ | 1in40,000 | Unexplainedusage | | 0 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Γ | 1in1,000 | ForSwedishnames |
| Ο | 1in5 | Commoninmath | | | $ | 4in5 | Usedinbusiness |
| --- | --- | --- |
| Ξ¨ | 1in40,000 | Unexplainedusage | | 1 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Γ | 1in1,000 | ForSwedishnames |
| Ο | 1in5 | Commoninmath | | | Ο | 1in5 | Commoninmath |
| --- | --- | --- |
| $ | 4in5 | Usedinbusiness |
| Ξ¨ | 1in40,000 | Unexplainedusage | | 0 |
| | 30dB | 20dB | 10dB |
| --- | --- | --- | --- |
| DNN-ILD | 3.03Β±.046 | 3.03Β±.046 | 3.05Β±.046 |
| Linear-ILD | 2.31Β±.036 | 2.32Β±.036 | 2.36Β±.037 | | | DNN-IPD | 0.48Β±.009 | 0.48Β±.009 | 0.48Β±.009 |
| --- | --- | --- | --- |
| Linear-IPD | 0.40Β±.008 | 0.40Β±.008 | 0.41Β±.008 | | 1 |
| | 30dB | 20dB | 10dB |
| --- | --- | --- | --- |
| DNN-ILD | 3.03Β±.046 | 3.03Β±.046 | 3.05Β±.046 |
| Linear-ILD | 2.31Β±.036 | 2.32Β±.036 | 2.36Β±.037 | | | | 1cm | 2cm | 4cm | 8cm |
| --- | --- | --- | --- | --- |
| DNN-ILD | 3.01Β±.044 | 3.03Β±.046 | 3.10Β±.047 | 3.23Β±.049 |
| Linear-ILD | 0.92Β±.017 | 2.21Β±.036 | 3.18Β±.049 | 3.43Β±.052 |
| DNN-IPD | 0.46Β±.008 | 0.48Β±.009 | 0.50Β±.009 | 0.54Β±.009 |
| Linear-IPD | 0.17Β±.005 | 0.38Β±.008 | 0.53Β±.009 | 0.57Β±.010 | | 0 |
| | 30dB | 20dB | 10dB |
| --- | --- | --- | --- |
| DNN-ILD | 3.03Β±.046 | 3.03Β±.046 | 3.05Β±.046 |
| Linear-ILD | 2.31Β±.036 | 2.32Β±.036 | 2.36Β±.037 | | | DNN-IPD | 0.48Β±.009 | 0.48Β±.009 | 0.48Β±.009 |
| --- | --- | --- | --- |
| Linear-IPD | 0.40Β±.008 | 0.40Β±.008 | 0.41Β±.008 | | 1 |
| | 30dB | 20dB | 10dB |
| --- | --- | --- | --- |
| DNN-ILD | 3.03Β±.046 | 3.03Β±.046 | 3.05Β±.046 |
| Linear-ILD | 2.31Β±.036 | 2.32Β±.036 | 2.36Β±.037 | | | DNN-IPD | 0.46Β±.008 | 0.48Β±.009 | 0.50Β±.009 | 0.54Β±.009 |
| --- | --- | --- | --- | --- |
| Linear-IPD | 0.17Β±.005 | 0.38Β±.008 | 0.53Β±.009 | 0.57Β±.010 | | 0 |
| Link | Thedegreeofdependence |
| --- | --- |
| (S,S)115 | 0.7 | | | (S,S)511 | 0.6 |
| --- | --- |
| (S,S)1223 | 0.3 |
| (S,S)2312 | 0.1 | | 1 |
| Link | Thedegreeofdependence |
| --- | --- |
| (S,S)115 | 0.7 | | | Link | Thedegreeofdependence |
| --- | --- |
| (S,S)835 | 0.6 |
| (S,S)358 | 0.2 |
| (S,S)1013 | 0.7 |
| (S,S)1310 | 0.3 | | 0 |
| Link | Thedegreeofdependence |
| --- | --- |
| (S,S)115 | 0.7 |
| (S,S)511 | 0.6 | | | (S,S)1223 | 0.3 |
| --- | --- |
| (S,S)2312 | 0.1 | | 1 |
| Link | Thedegreeofdependence |
| --- | --- |
| (S,S)115 | 0.7 |
| (S,S)511 | 0.6 | | | (S,S)358 | 0.2 |
| --- | --- |
| (S,S)1013 | 0.7 |
| (S,S)1310 | 0.3 | | 0 |
| Rule1 | Rule2 | Rule3 | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| IG | CC | IG | CC | IG | CC | |
| Age | 0 | 0.04 | 0 | 0 | 0 | -0.10 |
| Gender | 0.06 | 0.14 | 0.06 | 0.13 | 0 | -0.06 | | | Job | 0.08 | -0.18 | 0.08 | -0.17 | 0.04 | 0.11 |
| --- | --- | --- | --- | --- | --- | --- |
| Studies | 0 | 0.18 | 0 | 0.16 | 0 | 0.017 |
| Freq.ofuse | 0.03 | 0.05 | 0.06 | 0.08 | 0.02 | -0.07 |
| #Accounts | 0 | 0.14 | 0 | 0.16 | 0 | -0.05 |
| Priv.Concern | 0 | 0.13 | 0 | 0.16 | 0 | 0.04 | | 1 |
| Rule1 | Rule2 | Rule3 | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| IG | CC | IG | CC | IG | CC | |
| Age | 0 | 0.04 | 0 | 0 | 0 | -0.10 |
| Gender | 0.06 | 0.14 | 0.06 | 0.13 | 0 | -0.06 | | | Group | 4 | 5 | 6 | 7 | 8 | 9 | 11 | 12 | 13 | rule |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | 77.80 | 63.41 | 51.43 | 81.72 | 81.49 | 76.23 | 81.41 | 78.60 | 81.49 | 81.49 |
| 2 | 14.68 | 10.87 | 2.08 | 16.18 | 15.95 | 14.68 | 16.07 | 16.07 | 15.95 | 15.95 |
| 3 | 65.94 | 41.16 | 33.62 | 72.75 | 72.75 | 69.06 | 68.98 | 70.48 | 74.17 | 72.75 |
| 4 | 73.27 | 62.18 | 48.71 | 77.62 | 77.62 | 73.66 | 77.23 | 77.62 | 77.62 | 77.62 |
| 5 | 27.75 | 18.77 | 17.66 | 28.86 | 28.86 | 21.39 | 29.87 | 28.86 | 28.86 | 28.86 |
| 6 | 34.16 | 27.87 | 28.61 | 32.68 | 32.43 | 34.28 | 33.54 | 32.31 | 32.43 | 32.43 |
| 7 | 88.66 | 63.19 | 71.83 | 89.56 | 89.56 | 86.33 | 89.93 | 89.26 | 89.56 | 89.56 |
| 8 | 65.21 | 48.26 | 33.27 | 67.53 | 67.53 | 46.65 | 69.05 | 68.06 | 67.53 | 67.53 |
| 9 | 70.90 | 60.00 | 61.90 | 73.18 | 73.18 | 61.99 | 71.09 | 72.70 | 74.41 | 73.18 |
| 10 | 85.17 | 83.79 | 71.78 | 85.42 | 85.42 | 82.23 | 85.36 | 85.36 | 85.42 | 85.42 |
| 11 | 62.92 | 43.30 | 48.69 | 68.44 | 66.20 | 64.27 | 64.46 | 66.13 | 66.20 | 66.20 |
| 12 | 76.93 | 74.76 | 74.68 | 78.36 | 78.36 | 75.13 | 78.21 | 78.14 | 78.36 | 78.36 |
| 13 | 55.12 | 21.75 | 29.69 | 65.71 | 63.87 | 56.85 | 62.83 | 62.83 | 63.87 | 63.87 | | 0 |
| Rule1 | Rule2 | Rule3 | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| IG | CC | IG | CC | IG | CC | |
| Age | 0 | 0.04 | 0 | 0 | 0 | -0.10 |
| Gender | 0.06 | 0.14 | 0.06 | 0.13 | 0 | -0.06 |
| Job | 0.08 | -0.18 | 0.08 | -0.17 | 0.04 | 0.11 |
| Studies | 0 | 0.18 | 0 | 0.16 | 0 | 0.017 | | | Freq.ofuse | 0.03 | 0.05 | 0.06 | 0.08 | 0.02 | -0.07 |
| --- | --- | --- | --- | --- | --- | --- |
| #Accounts | 0 | 0.14 | 0 | 0.16 | 0 | -0.05 |
| Priv.Concern | 0 | 0.13 | 0 | 0.16 | 0 | 0.04 | | 1 |
| Rule1 | Rule2 | Rule3 | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| IG | CC | IG | CC | IG | CC | |
| Age | 0 | 0.04 | 0 | 0 | 0 | -0.10 |
| Gender | 0.06 | 0.14 | 0.06 | 0.13 | 0 | -0.06 |
| Job | 0.08 | -0.18 | 0.08 | -0.17 | 0.04 | 0.11 |
| Studies | 0 | 0.18 | 0 | 0.16 | 0 | 0.017 | | | 3 | 65.94 | 41.16 | 33.62 | 72.75 | 72.75 | 69.06 | 68.98 | 70.48 | 74.17 | 72.75 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 4 | 73.27 | 62.18 | 48.71 | 77.62 | 77.62 | 73.66 | 77.23 | 77.62 | 77.62 | 77.62 |
| 5 | 27.75 | 18.77 | 17.66 | 28.86 | 28.86 | 21.39 | 29.87 | 28.86 | 28.86 | 28.86 |
| 6 | 34.16 | 27.87 | 28.61 | 32.68 | 32.43 | 34.28 | 33.54 | 32.31 | 32.43 | 32.43 |
| 7 | 88.66 | 63.19 | 71.83 | 89.56 | 89.56 | 86.33 | 89.93 | 89.26 | 89.56 | 89.56 |
| 8 | 65.21 | 48.26 | 33.27 | 67.53 | 67.53 | 46.65 | 69.05 | 68.06 | 67.53 | 67.53 |
| 9 | 70.90 | 60.00 | 61.90 | 73.18 | 73.18 | 61.99 | 71.09 | 72.70 | 74.41 | 73.18 |
| 10 | 85.17 | 83.79 | 71.78 | 85.42 | 85.42 | 82.23 | 85.36 | 85.36 | 85.42 | 85.42 |
| 11 | 62.92 | 43.30 | 48.69 | 68.44 | 66.20 | 64.27 | 64.46 | 66.13 | 66.20 | 66.20 |
| 12 | 76.93 | 74.76 | 74.68 | 78.36 | 78.36 | 75.13 | 78.21 | 78.14 | 78.36 | 78.36 |
| 13 | 55.12 | 21.75 | 29.69 | 65.71 | 63.87 | 56.85 | 62.83 | 62.83 | 63.87 | 63.87 | | 0 |
| (30,5,24,2β2β2)<br>371816<br>(38,5,32,2β2β2)<br>4321186β<br>(44,5,38,2β2β2β2)<br>5326216β<br>(54,5,48,2β2β2β2)<br>5929236β<br>(60,5,54,2β2β2β2)<br>6934266β<br>(70,5,64,2β2β2β2)<br>7537286β<br>(76,5,70,2β2β2β2)<br>8341306β<br>(84,5,78,2β2β2β2)<br>8944326β<br>(90,5,84,2β2β2β2)<br>974834326β<br>(98,5,92,2β2β2β2β2) | (36,5,30,2β2β2β2)<br>412017146β<br>(42,5,36,2β2β2β2β2)<br>4723196β<br>(48,5,42,2β2β2β2)<br>572822216β<br>(58,5,52,2β2β2β2β2)<br>6331246β<br>(64,5,48,2β2β2β2)<br>733627246β<br>(74,5,68,2β2β2β2β2)<br>7939296β<br>(80,5,74,2β2β2β2)<br>874331306β<br>(88,5,82,2β2β2β2β2)<br>9346336β<br>(94,5,88,2β2β2β2)<br>9949356β<br>(100,5,94,2β2β2β2) |
| --- | --- |
| (34,6,27,2β2β2)<br>412018<br>(42,6,35,2β2β2)<br>512522<br>(52,6,45,2β2β2)<br>5929247β<br>(60,6,53,2β2β2β2)<br>6532267β<br>(66,6,59,2β2β2β2)<br>7537297β<br>(76,6,69,2β2β2β2)<br>8140317β<br>(82,6,75,2β2β2β2)<br>894433327β<br>(90,6,83,2β2β2β2β2)<br>9547357β<br>(96,6,89,2β2β2β2) | (40,6,33,2β2β2β2β2)<br>4723207β<br>(48,6,41,2β2β2β2)<br>5326227β<br>(54,6,47,2β2β2β2)<br>633125247β<br>(64,6,47,2β2β2β2β2)<br>6934277β<br>(70,6,63,2β2β2β2)<br>793930297β<br>(80,6,73,2β2β2β2β2)<br>8542327β<br>(86,6,79,2β2β2β2)<br>9145347β<br>(92,6,85,2β2β2β2)<br>994936357β<br>(100,6,93,2β2β2β2β2) | | | (38,7,30,2β2β2β2)<br>452220<br>(46,7,38,2β2β2)<br>512522218β<br>(52,7,44,2β2β2β2β2)<br>572824238β<br>(58,7,50,2β2β2β2β2)<br>633126258β<br>(64,7,46,2β2β2β2β2)<br>693428278β<br>(70,7,62,2β2β2β2β2)<br>7337308β<br>(76,7,68,2β2β2β2)<br>8140328β<br>(82,7,74,2β2β2β2)<br>8743348β<br>(88,7,80,2β2β2β2)<br>9748378β<br>(98,7,90,2β2β2β2) | (40,7,32,2β2β2)<br>472321<br>(48,7,40,2β2β2)<br>532623<br>(54,7,46,2β2β2)<br>5929258β<br>(60,7,52,2β2β2β2)<br>6532278β<br>(66,7,58,2β2β2β2)<br>7135298β<br>(72,7,64,2β2β2β2)<br>7738318β<br>(78,7,70,2β2β2β2)<br>854233328β<br>(86,7,78,2β2β2β2β2)<br>9145358β<br>(92,7,84,2β2β2β2)<br>9949388β<br>(100,7,92,2β2β2β2) |
| --- | --- |
| (42,8,33,2β2β2β2)<br>49242221<br>(50,8,41,2β2β2β2)<br>5728259β<br>(58,8,49,2β2β2β2)<br>67332529<br>(68,8,59,2β2β2β2)<br>7135309β<br>(72,8,63,2β2β2β2)<br>7738329β<br>(78,8,69,2β2β2β2)<br>8743359β<br>(88,8,79,2β2β2β2)<br>9346379β<br>(94,8,85,2β2β2β2)<br>9949399β<br>(100,8,91,2β2β2β2) | (44,8,35,2β2β2)<br>512523<br>(52,8,43,2β2β2)<br>6331279β<br>(64,8,45,2β2β2β2)<br>693429279β<br>(70,8,61,2β2β2β2β2)<br>753731289β<br>(76,8,67,2β2β2β2β2)<br>8140339β<br>(82,8,73,2β2β2β2)<br>914536359β<br>(92,8,83,2β2β2β2β2)<br>974838369β<br>(98,8,89,2β2β2β2β2)<br>19999689β<br>(200,8,191,2β2β2β2) |
| (46,9,36,2β2β2β2β2β2)<br>5326242322<br>(54,9,44,2β2β2β2β2)<br>61302726<br>(62,9,52,2β2β2β2)<br>673329282710β<br>(68,9,58,2β2β2β2β2β2)<br>733632<br>(74,9,64,2β2β2<br>79393410β<br>(80,9,70,2β2β2β2)<br>87433610β<br>(88,9,78,2β2β2β2)<br>9748393810β<br>(98,9,88,2β2β2β2β2) | (48,9,38,2β2β2)<br>552725<br>(56,9,46,2β2β2)<br>633128<br>(64,9,44,2β2β2)<br>69343010β<br>(70,9,60,2β2β2β2)<br>75373210β<br>(76,9,66,2β2β2β2)<br>81403410β<br>(82,9,72,2β2β2β2)<br>93463810β<br>(94,9,84,2β2β2β2)<br>99494010β<br>(100,9,90,2β2β2β2) |
| (52,10,41,2β2β2)<br>β6532292827262511<br>(66,10,55,2β2β2β2β2β2β2β2)<br>7336323011β<br>(74,10,63,2β2β2β2β2)<br>7939343311β<br>(80,10,69,2β2β2β2β2)<br>83413611β<br>(84,10,73,2β2β2β2)<br>87433711β<br>(88,10,77,2β2β2β2)<br>93463911β<br>(94,10,83,2β2β2β2)<br>99494111β<br>(100,10,89,2β2β2β2) | (60,10,49,2β2β2)<br>673330<br>(68,10,57,2β2β2)<br>753733<br>(76,10,65,2β2β2)<br>81403511β<br>(82,10,71,2β2β2β2)<br>854236353411β<br>(86,10,75,2β2β2β2β2β2)<br>91453837363511β<br>(92,10,81,2β2β2β2β2β2β2)<br>974840393811β<br>(98,10,87,2β2β2β2β2β2)<br>49924915311β<br>(500,10,489,2β2β2β2) |
| (100,21,78,2β2β2)<br>18391898786<br>(184,38,145,2β2β2β2β2)<br>831415414413<br>(832,200,631,2β2β2β2) | (200,45,154,2β2β2)<br>515255253<br>(516,116,399,2β2β2)<br>99994999499849974996<br>(10000,2475,7524,2β2β2β2β2) | | 1 |
| (30,5,24,2β2β2)<br>371816<br>(38,5,32,2β2β2)<br>4321186β<br>(44,5,38,2β2β2β2)<br>5326216β<br>(54,5,48,2β2β2β2)<br>5929236β<br>(60,5,54,2β2β2β2)<br>6934266β<br>(70,5,64,2β2β2β2)<br>7537286β<br>(76,5,70,2β2β2β2)<br>8341306β<br>(84,5,78,2β2β2β2)<br>8944326β<br>(90,5,84,2β2β2β2)<br>974834326β<br>(98,5,92,2β2β2β2β2) | (36,5,30,2β2β2β2)<br>412017146β<br>(42,5,36,2β2β2β2β2)<br>4723196β<br>(48,5,42,2β2β2β2)<br>572822216β<br>(58,5,52,2β2β2β2β2)<br>6331246β<br>(64,5,48,2β2β2β2)<br>733627246β<br>(74,5,68,2β2β2β2β2)<br>7939296β<br>(80,5,74,2β2β2β2)<br>874331306β<br>(88,5,82,2β2β2β2β2)<br>9346336β<br>(94,5,88,2β2β2β2)<br>9949356β<br>(100,5,94,2β2β2β2) |
| --- | --- |
| (34,6,27,2β2β2)<br>412018<br>(42,6,35,2β2β2)<br>512522<br>(52,6,45,2β2β2)<br>5929247β<br>(60,6,53,2β2β2β2)<br>6532267β<br>(66,6,59,2β2β2β2)<br>7537297β<br>(76,6,69,2β2β2β2)<br>8140317β<br>(82,6,75,2β2β2β2)<br>894433327β<br>(90,6,83,2β2β2β2β2)<br>9547357β<br>(96,6,89,2β2β2β2) | (40,6,33,2β2β2β2β2)<br>4723207β<br>(48,6,41,2β2β2β2)<br>5326227β<br>(54,6,47,2β2β2β2)<br>633125247β<br>(64,6,47,2β2β2β2β2)<br>6934277β<br>(70,6,63,2β2β2β2)<br>793930297β<br>(80,6,73,2β2β2β2β2)<br>8542327β<br>(86,6,79,2β2β2β2)<br>9145347β<br>(92,6,85,2β2β2β2)<br>994936357β<br>(100,6,93,2β2β2β2β2) | | | | | |
| --- | --- | --- |
| | | |
| d1<br>d2<br>d3 | 0,27Γ104480,25Γ10<br>291761203628673<br>666<br>0,50Γ100,45Γ100,30Γ10 | 2,58Γ10752,58Γ10<br>66<br>4,12Γ103474,11Γ10<br>666<br>24,45Γ1019,62Γ103,46Γ10 |
| total | 0,80Γ100,46Γ100,58Γ10 | 31,15Γ1019,62Γ1010,16Γ10 |
| DBLP | Netο¬ix | |
| | | |
| d1<br>d2<br>d3 | 0,79Γ102370,55Γ10<br>66<br>2,62Γ10424070,97Γ10<br>666<br>3,27Γ101,61Γ101,61Γ10 | 15,54Γ1025612,47Γ10<br>966<br>0,19Γ100,14Γ1020,30Γ10<br>966<br>0,20Γ1044,52Γ100,92Γ10 |
| total | 6,68Γ101,61Γ102,13Γ10 | 0,39Γ1044,66Γ1033,69Γ10 | | 0 |
| (30,5,24,2β2β2)<br>371816<br>(38,5,32,2β2β2)<br>4321186β<br>(44,5,38,2β2β2β2)<br>5326216β<br>(54,5,48,2β2β2β2)<br>5929236β<br>(60,5,54,2β2β2β2)<br>6934266β<br>(70,5,64,2β2β2β2)<br>7537286β<br>(76,5,70,2β2β2β2)<br>8341306β<br>(84,5,78,2β2β2β2)<br>8944326β<br>(90,5,84,2β2β2β2)<br>974834326β<br>(98,5,92,2β2β2β2β2) | (36,5,30,2β2β2β2)<br>412017146β<br>(42,5,36,2β2β2β2β2)<br>4723196β<br>(48,5,42,2β2β2β2)<br>572822216β<br>(58,5,52,2β2β2β2β2)<br>6331246β<br>(64,5,48,2β2β2β2)<br>733627246β<br>(74,5,68,2β2β2β2β2)<br>7939296β<br>(80,5,74,2β2β2β2)<br>874331306β<br>(88,5,82,2β2β2β2β2)<br>9346336β<br>(94,5,88,2β2β2β2)<br>9949356β<br>(100,5,94,2β2β2β2) |
| --- | --- |
| (34,6,27,2β2β2)<br>412018<br>(42,6,35,2β2β2)<br>512522<br>(52,6,45,2β2β2)<br>5929247β<br>(60,6,53,2β2β2β2)<br>6532267β<br>(66,6,59,2β2β2β2)<br>7537297β<br>(76,6,69,2β2β2β2)<br>8140317β<br>(82,6,75,2β2β2β2)<br>894433327β<br>(90,6,83,2β2β2β2β2)<br>9547357β<br>(96,6,89,2β2β2β2) | (40,6,33,2β2β2β2β2)<br>4723207β<br>(48,6,41,2β2β2β2)<br>5326227β<br>(54,6,47,2β2β2β2)<br>633125247β<br>(64,6,47,2β2β2β2β2)<br>6934277β<br>(70,6,63,2β2β2β2)<br>793930297β<br>(80,6,73,2β2β2β2β2)<br>8542327β<br>(86,6,79,2β2β2β2)<br>9145347β<br>(92,6,85,2β2β2β2)<br>994936357β<br>(100,6,93,2β2β2β2β2) |
| (38,7,30,2β2β2β2)<br>452220<br>(46,7,38,2β2β2)<br>512522218β<br>(52,7,44,2β2β2β2β2)<br>572824238β<br>(58,7,50,2β2β2β2β2)<br>633126258β<br>(64,7,46,2β2β2β2β2)<br>693428278β<br>(70,7,62,2β2β2β2β2)<br>7337308β<br>(76,7,68,2β2β2β2)<br>8140328β<br>(82,7,74,2β2β2β2)<br>8743348β<br>(88,7,80,2β2β2β2)<br>9748378β<br>(98,7,90,2β2β2β2) | (40,7,32,2β2β2)<br>472321<br>(48,7,40,2β2β2)<br>532623<br>(54,7,46,2β2β2)<br>5929258β<br>(60,7,52,2β2β2β2)<br>6532278β<br>(66,7,58,2β2β2β2)<br>7135298β<br>(72,7,64,2β2β2β2)<br>7738318β<br>(78,7,70,2β2β2β2)<br>854233328β<br>(86,7,78,2β2β2β2β2)<br>9145358β<br>(92,7,84,2β2β2β2)<br>9949388β<br>(100,7,92,2β2β2β2) | | | (42,8,33,2β2β2β2)<br>49242221<br>(50,8,41,2β2β2β2)<br>5728259β<br>(58,8,49,2β2β2β2)<br>67332529<br>(68,8,59,2β2β2β2)<br>7135309β<br>(72,8,63,2β2β2β2)<br>7738329β<br>(78,8,69,2β2β2β2)<br>8743359β<br>(88,8,79,2β2β2β2)<br>9346379β<br>(94,8,85,2β2β2β2)<br>9949399β<br>(100,8,91,2β2β2β2) | (44,8,35,2β2β2)<br>512523<br>(52,8,43,2β2β2)<br>6331279β<br>(64,8,45,2β2β2β2)<br>693429279β<br>(70,8,61,2β2β2β2β2)<br>753731289β<br>(76,8,67,2β2β2β2β2)<br>8140339β<br>(82,8,73,2β2β2β2)<br>914536359β<br>(92,8,83,2β2β2β2β2)<br>974838369β<br>(98,8,89,2β2β2β2β2)<br>19999689β<br>(200,8,191,2β2β2β2) |
| --- | --- |
| (46,9,36,2β2β2β2β2β2)<br>5326242322<br>(54,9,44,2β2β2β2β2)<br>61302726<br>(62,9,52,2β2β2β2)<br>673329282710β<br>(68,9,58,2β2β2β2β2β2)<br>733632<br>(74,9,64,2β2β2<br>79393410β<br>(80,9,70,2β2β2β2)<br>87433610β<br>(88,9,78,2β2β2β2)<br>9748393810β<br>(98,9,88,2β2β2β2β2) | (48,9,38,2β2β2)<br>552725<br>(56,9,46,2β2β2)<br>633128<br>(64,9,44,2β2β2)<br>69343010β<br>(70,9,60,2β2β2β2)<br>75373210β<br>(76,9,66,2β2β2β2)<br>81403410β<br>(82,9,72,2β2β2β2)<br>93463810β<br>(94,9,84,2β2β2β2)<br>99494010β<br>(100,9,90,2β2β2β2) |
| (52,10,41,2β2β2)<br>β6532292827262511<br>(66,10,55,2β2β2β2β2β2β2β2)<br>7336323011β<br>(74,10,63,2β2β2β2β2)<br>7939343311β<br>(80,10,69,2β2β2β2β2)<br>83413611β<br>(84,10,73,2β2β2β2)<br>87433711β<br>(88,10,77,2β2β2β2)<br>93463911β<br>(94,10,83,2β2β2β2)<br>99494111β<br>(100,10,89,2β2β2β2) | (60,10,49,2β2β2)<br>673330<br>(68,10,57,2β2β2)<br>753733<br>(76,10,65,2β2β2)<br>81403511β<br>(82,10,71,2β2β2β2)<br>854236353411β<br>(86,10,75,2β2β2β2β2β2)<br>91453837363511β<br>(92,10,81,2β2β2β2β2β2β2)<br>974840393811β<br>(98,10,87,2β2β2β2β2β2)<br>49924915311β<br>(500,10,489,2β2β2β2) |
| (100,21,78,2β2β2)<br>18391898786<br>(184,38,145,2β2β2β2β2)<br>831415414413<br>(832,200,631,2β2β2β2) | (200,45,154,2β2β2)<br>515255253<br>(516,116,399,2β2β2)<br>99994999499849974996<br>(10000,2475,7524,2β2β2β2β2) | | 1 |
| (30,5,24,2β2β2)<br>371816<br>(38,5,32,2β2β2)<br>4321186β<br>(44,5,38,2β2β2β2)<br>5326216β<br>(54,5,48,2β2β2β2)<br>5929236β<br>(60,5,54,2β2β2β2)<br>6934266β<br>(70,5,64,2β2β2β2)<br>7537286β<br>(76,5,70,2β2β2β2)<br>8341306β<br>(84,5,78,2β2β2β2)<br>8944326β<br>(90,5,84,2β2β2β2)<br>974834326β<br>(98,5,92,2β2β2β2β2) | (36,5,30,2β2β2β2)<br>412017146β<br>(42,5,36,2β2β2β2β2)<br>4723196β<br>(48,5,42,2β2β2β2)<br>572822216β<br>(58,5,52,2β2β2β2β2)<br>6331246β<br>(64,5,48,2β2β2β2)<br>733627246β<br>(74,5,68,2β2β2β2β2)<br>7939296β<br>(80,5,74,2β2β2β2)<br>874331306β<br>(88,5,82,2β2β2β2β2)<br>9346336β<br>(94,5,88,2β2β2β2)<br>9949356β<br>(100,5,94,2β2β2β2) |
| --- | --- |
| (34,6,27,2β2β2)<br>412018<br>(42,6,35,2β2β2)<br>512522<br>(52,6,45,2β2β2)<br>5929247β<br>(60,6,53,2β2β2β2)<br>6532267β<br>(66,6,59,2β2β2β2)<br>7537297β<br>(76,6,69,2β2β2β2)<br>8140317β<br>(82,6,75,2β2β2β2)<br>894433327β<br>(90,6,83,2β2β2β2β2)<br>9547357β<br>(96,6,89,2β2β2β2) | (40,6,33,2β2β2β2β2)<br>4723207β<br>(48,6,41,2β2β2β2)<br>5326227β<br>(54,6,47,2β2β2β2)<br>633125247β<br>(64,6,47,2β2β2β2β2)<br>6934277β<br>(70,6,63,2β2β2β2)<br>793930297β<br>(80,6,73,2β2β2β2β2)<br>8542327β<br>(86,6,79,2β2β2β2)<br>9145347β<br>(92,6,85,2β2β2β2)<br>994936357β<br>(100,6,93,2β2β2β2β2) |
| (38,7,30,2β2β2β2)<br>452220<br>(46,7,38,2β2β2)<br>512522218β<br>(52,7,44,2β2β2β2β2)<br>572824238β<br>(58,7,50,2β2β2β2β2)<br>633126258β<br>(64,7,46,2β2β2β2β2)<br>693428278β<br>(70,7,62,2β2β2β2β2)<br>7337308β<br>(76,7,68,2β2β2β2)<br>8140328β<br>(82,7,74,2β2β2β2)<br>8743348β<br>(88,7,80,2β2β2β2)<br>9748378β<br>(98,7,90,2β2β2β2) | (40,7,32,2β2β2)<br>472321<br>(48,7,40,2β2β2)<br>532623<br>(54,7,46,2β2β2)<br>5929258β<br>(60,7,52,2β2β2β2)<br>6532278β<br>(66,7,58,2β2β2β2)<br>7135298β<br>(72,7,64,2β2β2β2)<br>7738318β<br>(78,7,70,2β2β2β2)<br>854233328β<br>(86,7,78,2β2β2β2β2)<br>9145358β<br>(92,7,84,2β2β2β2)<br>9949388β<br>(100,7,92,2β2β2β2) | | | d1<br>d2<br>d3 | 0,79Γ102370,55Γ10<br>66<br>2,62Γ10424070,97Γ10<br>666<br>3,27Γ101,61Γ101,61Γ10 | 15,54Γ1025612,47Γ10<br>966<br>0,19Γ100,14Γ1020,30Γ10<br>966<br>0,20Γ1044,52Γ100,92Γ10 |
| --- | --- | --- |
| total | 6,68Γ101,61Γ102,13Γ10 | 0,39Γ1044,66Γ1033,69Γ10 | | 0 |
| | AverageReward | TotalReward | K-DDiο¬erence |
| --- | --- | --- | --- |
| Game1 | 0.77 | 155.68 | 11 |
| Game2 | 0.74 | 149.38 | 8 |
| Game3 | 0.84 | 168.57 | 15 | | | Game4 | 0.61 | 122.12 | -8 |
| --- | --- | --- | --- |
| Game5 | 0.97 | 194.40 | 37 | | 1 |
| | AverageReward | TotalReward | K-DDiο¬erence |
| --- | --- | --- | --- |
| Game1 | 0.77 | 155.68 | 11 |
| Game2 | 0.74 | 149.38 | 8 |
| Game3 | 0.84 | 168.57 | 15 | | | MeanRank | | |
| --- | --- | --- |
| 210 | 119 | 48.5 |
| 212 | 87 | 45.7 |
| 167 | 39 | 51.7 |
| 200 | 113 | 44.3 |
| 181 | 93 | 49.6 |
| 213 | 113 | 52.0 |
| 188 | 85 | 53.5 |
| MeanRank | | |
| 263 | 251 | 75.4 |
| 401 | 338 | 73.0 |
| 312 | 193 | 81.3 |
| 168 | 156 | 81.2 | | 0 |
| | AverageReward | TotalReward | K-DDiο¬erence |
| --- | --- | --- | --- |
| Game1 | 0.77 | 155.68 | 11 | | | Game2 | 0.74 | 149.38 | 8 |
| --- | --- | --- | --- |
| Game3 | 0.84 | 168.57 | 15 |
| Game4 | 0.61 | 122.12 | -8 |
| Game5 | 0.97 | 194.40 | 37 | | 1 |
| | AverageReward | TotalReward | K-DDiο¬erence |
| --- | --- | --- | --- |
| Game1 | 0.77 | 155.68 | 11 | | | 167 | 39 | 51.7 |
| --- | --- | --- |
| 200 | 113 | 44.3 |
| 181 | 93 | 49.6 |
| 213 | 113 | 52.0 |
| 188 | 85 | 53.5 |
| MeanRank | | |
| 263 | 251 | 75.4 |
| 401 | 338 | 73.0 |
| 312 | 193 | 81.3 |
| 168 | 156 | 81.2 | | 0 |
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