premise string | hypothesis string | label int64 |
|---|---|---|
| | Kosarak | Retail | Q148 | Webdocs |
| --- | --- | --- | --- | --- |
| Count | 8019015 | 908576 | 234954 | 299887139 |
| Distinctitems | 41270 | 16470 | 11824 | 5267656 | | | Min | 1 | 0 | 0 | 1 |
| --- | --- | --- | --- | --- |
| Max | 41270 | 16469 | 149464496 | 5267656 |
| Mean | 2387.2 | 3264.7 | 3392.9 | 122715 |
| Median | 640 | 1564 | 63 | 1988 |
| Std.deviation | 4308.5 | 4093.2 | 309782.5 | 549736 |
| Skewness | 3.5 | 1.5 | 478.1 | 6.1 | | 1 |
| | Kosarak | Retail | Q148 | Webdocs |
| --- | --- | --- | --- | --- |
| Count | 8019015 | 908576 | 234954 | 299887139 |
| Distinctitems | 41270 | 16470 | 11824 | 5267656 | | | | Kosarak | Retail | Q148 | Nasa |
| --- | --- | --- | --- | --- |
| Count | 8019015 | 908576 | 234954 | 284170 |
| Distinctitems | 41270 | 16470 | 11824 | 2116 |
| Min | 1 | 0 | 0 | 0 |
| Max | 41270 | 16469 | 149464496 | 28474 |
| Mean | 2387.2 | 3264.7 | 3392.9 | 353.9 |
| Median | 640 | 1564 | 63 | 120 |
| Std.deviation | 4308.5 | 4093.2 | 309782.5 | 778.1 |
| Skewness | 3.5 | 1.5 | 478.1 | 6.5 | | 0 |
| | Kosarak | Retail | Q148 | Webdocs |
| --- | --- | --- | --- | --- |
| Count | 8019015 | 908576 | 234954 | 299887139 |
| Distinctitems | 41270 | 16470 | 11824 | 5267656 |
| Min | 1 | 0 | 0 | 1 |
| Max | 41270 | 16469 | 149464496 | 5267656 | | | Mean | 2387.2 | 3264.7 | 3392.9 | 122715 |
| --- | --- | --- | --- | --- |
| Median | 640 | 1564 | 63 | 1988 |
| Std.deviation | 4308.5 | 4093.2 | 309782.5 | 549736 |
| Skewness | 3.5 | 1.5 | 478.1 | 6.1 | | 1 |
| | Kosarak | Retail | Q148 | Webdocs |
| --- | --- | --- | --- | --- |
| Count | 8019015 | 908576 | 234954 | 299887139 |
| Distinctitems | 41270 | 16470 | 11824 | 5267656 |
| Min | 1 | 0 | 0 | 1 |
| Max | 41270 | 16469 | 149464496 | 5267656 | | | Mean | 2387.2 | 3264.7 | 3392.9 | 353.9 |
| --- | --- | --- | --- | --- |
| Median | 640 | 1564 | 63 | 120 |
| Std.deviation | 4308.5 | 4093.2 | 309782.5 | 778.1 |
| Skewness | 3.5 | 1.5 | 478.1 | 6.5 | | 0 |
| Reference | #vertices | #edges | UsedRAM | #msgs/iteration | Datatransferperiteration/replication |
| --- | --- | --- | --- | --- | --- |
| | 100M | 3.7T | 14GB | NA | NA |
| | 17M | 70M | <2GB | NA | 16GB |
| | NA | NA | NA | NA | NA |
| | 4.7M | 70M | ¡75GB | NA | NA |
| | 8M | 29M | <512GB | 100000 | NA |
| | 21G | 160G | 1.46TB | NA | NA | | | | 1.8M | 18M | <12GB | <8M | NA |
| --- | --- | --- | --- | --- | --- |
| | 40M | 1.4T | 14GB | NA | NA |
| | 100M | 600M | 3TB | 1.2G | 0.3TB | | 1 |
| Reference | #vertices | #edges | UsedRAM | #msgs/iteration | Datatransferperiteration/replication |
| --- | --- | --- | --- | --- | --- |
| | 100M | 3.7T | 14GB | NA | NA |
| | 17M | 70M | <2GB | NA | 16GB |
| | NA | NA | NA | NA | NA |
| | 4.7M | 70M | ¡75GB | NA | NA |
| | 8M | 29M | <512GB | 100000 | NA |
| | 21G | 160G | 1.46TB | NA | NA | | | dataset | algorithms | indexsize | | |
| --- | --- | --- | --- | --- |
| tree(hashtable) | graph | all | | |
| SIFT1M | flann(16-tree) | 997.5MB | 0 | 997.5MB |
| Efanna(16-tree,10-NN) | 283.3MB | 60.5MB | 343.8MB | |
| GNNS(10-NN) | 0 | 60.5MB | 60.5MB | |
| kGraph(10-NN) | 0 | 60.5MB | 60.5MB | |
| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB | |
| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB | |
| GIST1 | flann(16-tree) | 998.4MB | 0 | 998.4MB |
| Efanna(16-tree,10-NN) | 287.7MB | 60.5MB | 348.2MB | |
| GNNS(10-NN) | 0 | 60.5MB | 60.5MB | |
| kGraph(10-NN) | 0 | 60.5MB | 60.5MB | |
| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB | |
| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB | |
| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. | | | | | | 0 |
| Reference | #vertices | #edges | UsedRAM | #msgs/iteration | Datatransferperiteration/replication |
| --- | --- | --- | --- | --- | --- |
| | 100M | 3.7T | 14GB | NA | NA |
| | 17M | 70M | <2GB | NA | 16GB |
| | NA | NA | NA | NA | NA |
| | 4.7M | 70M | ¡75GB | NA | NA |
| | 8M | 29M | <512GB | 100000 | NA | | | | 21G | 160G | 1.46TB | NA | NA |
| --- | --- | --- | --- | --- | --- |
| | 1.8M | 18M | <12GB | <8M | NA |
| | 40M | 1.4T | 14GB | NA | NA |
| | 100M | 600M | 3TB | 1.2G | 0.3TB | | 1 |
| Reference | #vertices | #edges | UsedRAM | #msgs/iteration | Datatransferperiteration/replication |
| --- | --- | --- | --- | --- | --- |
| | 100M | 3.7T | 14GB | NA | NA |
| | 17M | 70M | <2GB | NA | 16GB |
| | NA | NA | NA | NA | NA |
| | 4.7M | 70M | ¡75GB | NA | NA |
| | 8M | 29M | <512GB | 100000 | NA | | | kGraph(10-NN) | 0 | 60.5MB | 60.5MB | |
| --- | --- | --- | --- | --- |
| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB | |
| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB | |
| GIST1 | flann(16-tree) | 998.4MB | 0 | 998.4MB |
| Efanna(16-tree,10-NN) | 287.7MB | 60.5MB | 348.2MB | |
| GNNS(10-NN) | 0 | 60.5MB | 60.5MB | |
| kGraph(10-NN) | 0 | 60.5MB | 60.5MB | |
| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB | |
| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB | |
| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. | | | | | | 0 |
| Dataset | Nodes | Edges | Clusters |
| --- | --- | --- | --- |
| DTI | 142541 | 3992290 | 500 | | | FB | 4039 | 88234 | 10 |
| --- | --- | --- | --- |
| DBLP | 317080 | 1049866 | 500 |
| Syn200 | 20000 | 773388 | 200 | | 1 |
| Dataset | Nodes | Edges | Clusters |
| --- | --- | --- | --- |
| DTI | 142541 | 3992290 | 500 | | | Dataset | Type | #Nodes | #Edges |
| --- | --- | --- | --- |
| DBLP-2011 | undirected | 1.0M | 6.7M |
| Pokec | directed | 1.6M | 30.6M |
| LiveJournal | undirected | 4.8M | 69M |
| Orkut | undirected | 3.1M | 117M |
| Twitter-2010 | directed | 42M | 1.5B |
| UK-2007-05 | directed | 106M | 3.7B | | 0 |
| Dataset | Nodes | Edges | Clusters |
| --- | --- | --- | --- |
| DTI | 142541 | 3992290 | 500 | | | FB | 4039 | 88234 | 10 |
| --- | --- | --- | --- |
| DBLP | 317080 | 1049866 | 500 |
| Syn200 | 20000 | 773388 | 200 | | 1 |
| Dataset | Nodes | Edges | Clusters |
| --- | --- | --- | --- |
| DTI | 142541 | 3992290 | 500 | | | Pokec | directed | 1.6M | 30.6M |
| --- | --- | --- | --- |
| LiveJournal | undirected | 4.8M | 69M |
| Orkut | undirected | 3.1M | 117M |
| Twitter-2010 | directed | 42M | 1.5B |
| UK-2007-05 | directed | 106M | 3.7B | | 0 |
| 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 | | 1 |
| 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 | | | MAP@Top500 | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |
| 20.29 | 19.92 | 19.81 | 21.17 | 23.07 | 24.42 | 14.54 | 15.26 | 16.19 | 18.13 | 20.45 |
| 24.56 | 27.72 | 27.55 | 28.65 | 29.54 | 30.24 | 18.63 | 21.88 | 22.53 | 24.59 | 25.65 |
| 29.02 | 34.07 | 35.66 | 38.86 | 40.28 | 41.67 | 24.61 | 29.72 | 31.93 | 35.62 | 37.98 |
| 28.34 | 34.78 | 37.92 | 41.69 | 42.77 | 44.57 | 27.91 | 33.83 | 37.31 | 42.39 | 43.78 |
| 25.92 | 25.11 | 25.91 | 27.13 | 28.76 | 29.46 | 19.06 | 20.10 | 21.53 | 23.46 | 24.85 |
| 58.58 | 66.85 | 71.48 | 75.74 | 79.69 | 80.62 | 64.13 | 70.80 | 74.71 | 78.34 | 80.59 |
| 58.92 | 70.07 | 74.95 | 78.09 | 78.85 | 77.61 | 61.09 | 73.71 | 78.85 | 81.84 | 83.45 |
| 50.88 | 66.24 | 72.43 | 77.31 | 79.21 | 80.40 | 54.22 | 68.28 | 74.42 | 77.36 | 78.80 |
| 67.11 | 73.08 | 78.42 | 82.02 | 83.51 | 84.17 | 72.95 | 77.53 | 82.68 | 84.18 | 85.23 | | 0 |
| 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 | | 1 |
| 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 | | | 58.92 | 70.07 | 74.95 | 78.09 | 78.85 | 77.61 | 61.09 | 73.71 | 78.85 | 81.84 | 83.45 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 50.88 | 66.24 | 72.43 | 77.31 | 79.21 | 80.40 | 54.22 | 68.28 | 74.42 | 77.36 | 78.80 |
| 67.11 | 73.08 | 78.42 | 82.02 | 83.51 | 84.17 | 72.95 | 77.53 | 82.68 | 84.18 | 85.23 | | 0 |
| Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment |
| \numberofauthors | 200 | Authorenumeration | | | \table | 300 | Fortables |
| --- | --- | --- |
| \table* | 400 | Forwidertables | | 1 |
| Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment |
| \numberofauthors | 200 | Authorenumeration | | | Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment |
| \numberofauthors | 200 | Authorenumeration |
| \table | 300 | Fortables |
| \table* | 400 | Forwidertables | | 0 |
| Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment | | | \numberofauthors | 200 | Authorenumeration |
| --- | --- | --- |
| \table | 300 | Fortables |
| \table* | 400 | Forwidertables | | 1 |
| Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment | | | \numberofauthors | 200 | Authorenumeration |
| --- | --- | --- |
| \table | 300 | Fortables |
| \table* | 400 | Forwidertables | | 0 |
| | Normalstdev<br>XeonSPARC | Jain’sIndex<br>XeonSPARC | | |
| --- | --- | --- | --- | --- |
| Java | 0.291 | 0.164 | 0.900 | 0.961 |
| CB-CAS | 0.077 | 0.196 | 0.992 | 0.957 |
| EXP-CAS | 0.536 | 0.936 | 0.761 | 0.588 |
| MCS-CAS | 0.975 | 0.596 | 0.563 | 0.727 | | | AB-CAS | 0.001 | 0.822 | 1.000 | 0.638 |
| --- | --- | --- | --- | --- |
| TS-CAS | 0.829 | 0.211 | 0.605 | 0.946 | | 1 |
| | Normalstdev<br>XeonSPARC | Jain’sIndex<br>XeonSPARC | | |
| --- | --- | --- | --- | --- |
| Java | 0.291 | 0.164 | 0.900 | 0.961 |
| CB-CAS | 0.077 | 0.196 | 0.992 | 0.957 |
| EXP-CAS | 0.536 | 0.936 | 0.761 | 0.588 |
| MCS-CAS | 0.975 | 0.596 | 0.563 | 0.727 | | | | ODINDATA | SMULTRONDATA | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | DE | GD | HA | MG | KO | CY | YAQ | DE | SV | DE-SV |
| Baseline | 76.7 | 72.0 | 54.4 | 57.4 | 56.0 | 75.4 | 54.4 | 40.7 | 37.5 | 43.3 |
| Remove | 93.9 | 87.8 | 95.7 | 88.9 | 88.1 | 95.1 | 90.9 | 63.6 | 62.2 | 73.5 |
| Merge | 95.4 | 92.5 | 97.5 | 97.4 | 95.4 | 97.2 | 95.9 | 71.8 | 73.9 | 82.8 |
| Swap | 96.8 | 94.1 | 97.5 | 98.0 | 96.1 | 98.2 | 96.2 | 83.0 | 84.2 | 87.2 | | 0 |
| | Normalstdev<br>XeonSPARC | Jain’sIndex<br>XeonSPARC | | |
| --- | --- | --- | --- | --- |
| Java | 0.291 | 0.164 | 0.900 | 0.961 |
| CB-CAS | 0.077 | 0.196 | 0.992 | 0.957 |
| EXP-CAS | 0.536 | 0.936 | 0.761 | 0.588 |
| MCS-CAS | 0.975 | 0.596 | 0.563 | 0.727 | | | AB-CAS | 0.001 | 0.822 | 1.000 | 0.638 |
| --- | --- | --- | --- | --- |
| TS-CAS | 0.829 | 0.211 | 0.605 | 0.946 | | 1 |
| | Normalstdev<br>XeonSPARC | Jain’sIndex<br>XeonSPARC | | |
| --- | --- | --- | --- | --- |
| Java | 0.291 | 0.164 | 0.900 | 0.961 |
| CB-CAS | 0.077 | 0.196 | 0.992 | 0.957 |
| EXP-CAS | 0.536 | 0.936 | 0.761 | 0.588 |
| MCS-CAS | 0.975 | 0.596 | 0.563 | 0.727 | | | Remove | 93.9 | 87.8 | 95.7 | 88.9 | 88.1 | 95.1 | 90.9 | 63.6 | 62.2 | 73.5 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Merge | 95.4 | 92.5 | 97.5 | 97.4 | 95.4 | 97.2 | 95.9 | 71.8 | 73.9 | 82.8 |
| Swap | 96.8 | 94.1 | 97.5 | 98.0 | 96.1 | 98.2 | 96.2 | 83.0 | 84.2 | 87.2 | | 0 |
| Class | Precision | Recall | F-1score | Support |
| --- | --- | --- | --- | --- |
| creamy | 0.66 | 0.59 | 0.62 | 117 |
| diced | 0.75 | 0.74 | 0.75 | 128 |
| grated | 0.67 | 0.74 | 0.70 | 132 | | | juiced | 0.68 | 0.83 | 0.75 | 107 |
| --- | --- | --- | --- | --- |
| julienne | 0.68 | 0.63 | 0.65 | 83 |
| sliced | 0.70 | 0.71 | 0.70 | 224 |
| whole | 0.76 | 0.68 | 0.72 | 203 |
| average | 0.71 | 0.70 | 0.70 | 994 | | 1 |
| Class | Precision | Recall | F-1score | Support |
| --- | --- | --- | --- | --- |
| creamy | 0.66 | 0.59 | 0.62 | 117 |
| diced | 0.75 | 0.74 | 0.75 | 128 |
| grated | 0.67 | 0.74 | 0.70 | 132 | | | Classifier | Accuracy | Precision | Recall |
| --- | --- | --- | --- |
| BaggingwithJ48 | 76.59 | 75.61 | 76.35 |
| BaggingwithREPTree | 74.25 | 72.78 | 73.96 |
| BaggingwithRF | 79.48 | 78.60 | 79.27 |
| BoostingwithJ48 | 76.76 | 76.18 | 76.58 |
| BoostingwithREPTree | 74.57 | 73.98 | 74.37 |
| BoostingwithRF | 79.10 | 78.32 | 78.93 | | 0 |
| Class | Precision | Recall | F-1score | Support |
| --- | --- | --- | --- | --- |
| creamy | 0.66 | 0.59 | 0.62 | 117 |
| diced | 0.75 | 0.74 | 0.75 | 128 | | | grated | 0.67 | 0.74 | 0.70 | 132 |
| --- | --- | --- | --- | --- |
| juiced | 0.68 | 0.83 | 0.75 | 107 |
| julienne | 0.68 | 0.63 | 0.65 | 83 |
| sliced | 0.70 | 0.71 | 0.70 | 224 |
| whole | 0.76 | 0.68 | 0.72 | 203 |
| average | 0.71 | 0.70 | 0.70 | 994 | | 1 |
| Class | Precision | Recall | F-1score | Support |
| --- | --- | --- | --- | --- |
| creamy | 0.66 | 0.59 | 0.62 | 117 |
| diced | 0.75 | 0.74 | 0.75 | 128 | | | BoostingwithJ48 | 76.76 | 76.18 | 76.58 |
| --- | --- | --- | --- |
| BoostingwithREPTree | 74.57 | 73.98 | 74.37 |
| BoostingwithRF | 79.10 | 78.32 | 78.93 | | 0 |
| Objects | |
| --- | --- |
| Object | Remarks |
| FandS<br>C<br>PandN<br>PrandNx<br>AandD<br>RandT<br>M | TheFile(document)andtheSentence<br>TheCurrentnode(thecentreofthenode-by-nodequeryprocessing)<br>ThePreviousandtheNextnodes<br>ThePrevioussiblingandtheNextsiblingnodes<br>TheAncestor(orparent)andtheDescendant(orchild)nodes<br>TheReferredandtheReferringnodes(threadnavigation)<br>Thenode(s)thatmatchedoneoftheconditions,e.g.M[p],pbeingtheconditionalias |
| Members | |
| Member | Remarks |
| l<br>t<br>a<br>v<br>f | Thelexicaldataforthenode<br>Thetag(e.g.POStag)ofthenode<br>Theattribute,withtheindexspecifiedwithinsquarebrackets,e.g.a[‘lex’]<br>Thelevel(distancefromtheroot)ofatreenode(0beingtheroot)<br>Booleanvaluetocheckifanodeisaleafnode |
| OperatorsandValues | | | | Operator/Value | Remarks |
| --- | --- |
| AND<br>OR<br>()<br>[]<br>:<br>.<br>‘’<br>+<br>=and!=<br>∼and!∼<br>=<br>–><br>=:<br>:=<br>/ | Conjunctionoftwoormoresearchconditions<br>Disjunctionoftwoormoresearchconditions<br>Parenthesis:Groupingofsearchconditionsforevaluationornesting<br>Index:Integer(position)orstring(nameoralias),e.g.D[2],a[‘deprel’]etc.<br>Indexqualifier,e.g.D[2:3](grandchild’sthirdchild)<br>Thedotoperatortoaccessthemembersofanobject<br>andtoformnodeaddresses<br>Theliteralvaluespecifiedwithinsinglequotes(e.g.‘agent’),<br>usuallyofmembers<br>Concatenation:Tojointogethertwoormoreliteralvaluesorvariables<br>EqualandNotEqual(LHS),basedonexactequalityofvalues<br>SimilarandNotSimilar(LHS),basedonsimilarity,e.g.usingregex<br>Valueassignmentoperator(RHS)<br>Actiontobeperformedonthenodesthatmatchedtheconditions<br>Thesourcesofthedata,e.g.thecorpusfiles<br>Thedestinations,e.g.thefileswheretheresultshavetobestored<br>Aliasassignmentforconditions,returnvaluesandsources/destinations |
| WildcardsandRanges | |
| Wildcard/Range | Remarks |
| ?<br>.<br>*<br>@<br>0<br>– | Thefirstnodetomatch<br>Thelastnodetomatch<br>Anynodestomatch(disjunction)<br>Allnode(s)thatmatch(es),e.g.N[@],M[@](conjunction)<br>None(normalindicesstartfrom1)<br>Therangeofnodes,e.g.N[2-4],P[3-],D[-2]etc.andzisthelastnode. | | 1 |
| Objects | |
| --- | --- |
| Object | Remarks |
| FandS<br>C<br>PandN<br>PrandNx<br>AandD<br>RandT<br>M | TheFile(document)andtheSentence<br>TheCurrentnode(thecentreofthenode-by-nodequeryprocessing)<br>ThePreviousandtheNextnodes<br>ThePrevioussiblingandtheNextsiblingnodes<br>TheAncestor(orparent)andtheDescendant(orchild)nodes<br>TheReferredandtheReferringnodes(threadnavigation)<br>Thenode(s)thatmatchedoneoftheconditions,e.g.M[p],pbeingtheconditionalias |
| Members | |
| Member | Remarks |
| l<br>t<br>a<br>v<br>f | Thelexicaldataforthenode<br>Thetag(e.g.POStag)ofthenode<br>Theattribute,withtheindexspecifiedwithinsquarebrackets,e.g.a[‘lex’]<br>Thelevel(distancefromtheroot)ofatreenode(0beingtheroot)<br>Booleanvaluetocheckifanodeisaleafnode |
| OperatorsandValues | | | | Variable | Description |
| --- | --- |
| cHdfsReadCost<br>cHdfsWriteCost<br>cLocalIOCost<br>cNetworkCost | ThecostforreadingfromHDFS<br>ThecostforwritingtoHDFS<br>ThecostforperformingI/Ofromthelocaldisk<br>Thenetworktransferringcost |
| cMapCPUCost<br>cReduceCPUCost<br>cCombineCPUCost | TheCPUcostforexecutingthemapfunction<br>TheCPUcostforexecutingthereducefunction<br>TheCPUcostforexecutingthecombinefunction |
| cPartitionCPUCost<br>cSerdeCPUCost<br>cSortCPUCost<br>cMergeCPUCost | TheCPUcostforpartitioning<br>TheCPUcostforserialization<br>TheCPUcostforsortingonkeys<br>TheCPUcostformerging |
| cInUncomprCPUCost<br>cIntermUncomprCPUCost<br>cIntermComprCPUCost<br>cOutComprCPUCost | TheCPUcostforuncompressingtheinputdata<br>TheCPUcostforuncompressingtheintermediatedata<br>TheCPUcostforcompressingtheintermediatedata<br>TheCPUcostforcompressingtheoutputdata | | 0 |
| Objects | |
| --- | --- |
| Object | Remarks | | | FandS<br>C<br>PandN<br>PrandNx<br>AandD<br>RandT<br>M | TheFile(document)andtheSentence<br>TheCurrentnode(thecentreofthenode-by-nodequeryprocessing)<br>ThePreviousandtheNextnodes<br>ThePrevioussiblingandtheNextsiblingnodes<br>TheAncestor(orparent)andtheDescendant(orchild)nodes<br>TheReferredandtheReferringnodes(threadnavigation)<br>Thenode(s)thatmatchedoneoftheconditions,e.g.M[p],pbeingtheconditionalias |
| --- | --- |
| Members | |
| Member | Remarks |
| l<br>t<br>a<br>v<br>f | Thelexicaldataforthenode<br>Thetag(e.g.POStag)ofthenode<br>Theattribute,withtheindexspecifiedwithinsquarebrackets,e.g.a[‘lex’]<br>Thelevel(distancefromtheroot)ofatreenode(0beingtheroot)<br>Booleanvaluetocheckifanodeisaleafnode |
| OperatorsandValues | |
| Operator/Value | Remarks |
| AND<br>OR<br>()<br>[]<br>:<br>.<br>‘’<br>+<br>=and!=<br>∼and!∼<br>=<br>–><br>=:<br>:=<br>/ | Conjunctionoftwoormoresearchconditions<br>Disjunctionoftwoormoresearchconditions<br>Parenthesis:Groupingofsearchconditionsforevaluationornesting<br>Index:Integer(position)orstring(nameoralias),e.g.D[2],a[‘deprel’]etc.<br>Indexqualifier,e.g.D[2:3](grandchild’sthirdchild)<br>Thedotoperatortoaccessthemembersofanobject<br>andtoformnodeaddresses<br>Theliteralvaluespecifiedwithinsinglequotes(e.g.‘agent’),<br>usuallyofmembers<br>Concatenation:Tojointogethertwoormoreliteralvaluesorvariables<br>EqualandNotEqual(LHS),basedonexactequalityofvalues<br>SimilarandNotSimilar(LHS),basedonsimilarity,e.g.usingregex<br>Valueassignmentoperator(RHS)<br>Actiontobeperformedonthenodesthatmatchedtheconditions<br>Thesourcesofthedata,e.g.thecorpusfiles<br>Thedestinations,e.g.thefileswheretheresultshavetobestored<br>Aliasassignmentforconditions,returnvaluesandsources/destinations |
| WildcardsandRanges | |
| Wildcard/Range | Remarks |
| ?<br>.<br>*<br>@<br>0<br>– | Thefirstnodetomatch<br>Thelastnodetomatch<br>Anynodestomatch(disjunction)<br>Allnode(s)thatmatch(es),e.g.N[@],M[@](conjunction)<br>None(normalindicesstartfrom1)<br>Therangeofnodes,e.g.N[2-4],P[3-],D[-2]etc.andzisthelastnode. | | 1 |
| Objects | |
| --- | --- |
| Object | Remarks | | | cPartitionCPUCost<br>cSerdeCPUCost<br>cSortCPUCost<br>cMergeCPUCost | TheCPUcostforpartitioning<br>TheCPUcostforserialization<br>TheCPUcostforsortingonkeys<br>TheCPUcostformerging |
| --- | --- |
| cInUncomprCPUCost<br>cIntermUncomprCPUCost<br>cIntermComprCPUCost<br>cOutComprCPUCost | TheCPUcostforuncompressingtheinputdata<br>TheCPUcostforuncompressingtheintermediatedata<br>TheCPUcostforcompressingtheintermediatedata<br>TheCPUcostforcompressingtheoutputdata | | 0 |
| G-type | q | f | p | \|Z(G)\| | \|W\| |
| --- | --- | --- | --- | --- | --- |
| Ar | 1 | r+1 | 0 | r+1 | (r+1)! | | | Br | 2 | 2 | r | 2 | 2r! |
| --- | --- | --- | --- | --- | --- |
| Cr | 2 | 2 | r(r−1) | 2 | 2r! |
| Dr | 1 | 4 | 0 | 4 | 2r! | | 1 |
| G-type | q | f | p | \|Z(G)\| | \|W\| |
| --- | --- | --- | --- | --- | --- |
| Ar | 1 | r+1 | 0 | r+1 | (r+1)! | | | G2<br>G1 | R3 | vRq443 | qRv341 | P3 | P4 | Q |
| --- | --- | --- | --- | --- | --- | --- |
| R1 | 1 | 2a | 2b | 3 | 4 | 5 |
| vRp221 | 6a | 7a | 7c | 8a | 9a | 10a |
| pRv123 | 6b | 7b | 7d | 8b | 9b | 10b |
| P1 | 11 | 12 | 12 | 13 | 14 | 15 |
| P2 | 16 | 17a | 17b | 18 | 19 | 20 |
| P | 21 | 22a | 22b | 23 | 24 | 25 | | 0 |
| G-type | q | f | p | \|Z(G)\| | \|W\| |
| --- | --- | --- | --- | --- | --- |
| Ar | 1 | r+1 | 0 | r+1 | (r+1)! |
| Br | 2 | 2 | r | 2 | 2r! | | | Cr | 2 | 2 | r(r−1) | 2 | 2r! |
| --- | --- | --- | --- | --- | --- |
| Dr | 1 | 4 | 0 | 4 | 2r! | | 1 |
| G-type | q | f | p | \|Z(G)\| | \|W\| |
| --- | --- | --- | --- | --- | --- |
| Ar | 1 | r+1 | 0 | r+1 | (r+1)! |
| Br | 2 | 2 | r | 2 | 2r! | | | P2 | 16 | 17a | 17b | 18 | 19 | 20 |
| --- | --- | --- | --- | --- | --- | --- |
| P | 21 | 22a | 22b | 23 | 24 | 25 | | 0 |
| Method | nC | Easy | Medium | Hard |
| --- | --- | --- | --- | --- |
| MTCNN | - | 0.848 | 0.825 | 0.598 | | | HR-ResNet101 | - | 0.925 | 0.910 | 0.806 |
| --- | --- | --- | --- | --- |
| APN24+RNet48 | 3 | 0.883 | 0.879 | 0.761 |
| APN24+RNet48+RNet96 | 3 | 0.906 | 0.895 | 0.801 | | 1 |
| Method | nC | Easy | Medium | Hard |
| --- | --- | --- | --- | --- |
| MTCNN | - | 0.848 | 0.825 | 0.598 | | | Network | nC | Smin | R@50 | R@100 | Model | Speed | Network | nC | Smin | R@50 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| PNet | 1 | 16 | 0.9604 | 0.9712 | 28KB | 25.17FPS | APN24 | 3 | 16 | 0.9920 |
| PNet | 1 | 20 | 0.9557 | 0.9700 | 28KB | 33.75FPS | APN24 | 3 | 20 | 0.9898 |
| PNet | 1 | 24 | 0.9540 | 0.9673 | 28KB | 43.15FPS | APN24 | 3 | 24 | 0.9851 |
| APN24 | 1 | 16 | 0.9872 | 0.9910 | 360KB | 22.91FPS | APN12 | 2 | 16 | 0.9598 |
| APN24 | 1 | 20 | 0.9860 | 0.9882 | 360KB | 32.63FPS | APN12 | 2 | 20 | 0.9484 |
| APN24 | 1 | 24 | 0.9825 | 0.9856 | 360KB | 43.39FPS | APN12 | 2 | 24 | 0.9354 |
| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |
| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |
| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 | | 0 |
| Method | nC | Easy | Medium | Hard |
| --- | --- | --- | --- | --- |
| MTCNN | - | 0.848 | 0.825 | 0.598 |
| HR-ResNet101 | - | 0.925 | 0.910 | 0.806 | | | APN24+RNet48 | 3 | 0.883 | 0.879 | 0.761 |
| --- | --- | --- | --- | --- |
| APN24+RNet48+RNet96 | 3 | 0.906 | 0.895 | 0.801 | | 1 |
| Method | nC | Easy | Medium | Hard |
| --- | --- | --- | --- | --- |
| MTCNN | - | 0.848 | 0.825 | 0.598 |
| HR-ResNet101 | - | 0.925 | 0.910 | 0.806 | | | PNet | 1 | 20 | 0.9557 | 0.9700 | 28KB | 33.75FPS | APN24 | 3 | 20 | 0.9898 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| PNet | 1 | 24 | 0.9540 | 0.9673 | 28KB | 43.15FPS | APN24 | 3 | 24 | 0.9851 |
| APN24 | 1 | 16 | 0.9872 | 0.9910 | 360KB | 22.91FPS | APN12 | 2 | 16 | 0.9598 |
| APN24 | 1 | 20 | 0.9860 | 0.9882 | 360KB | 32.63FPS | APN12 | 2 | 20 | 0.9484 |
| APN24 | 1 | 24 | 0.9825 | 0.9856 | 360KB | 43.39FPS | APN12 | 2 | 24 | 0.9354 |
| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |
| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |
| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 | | 0 |
| Name | MStype | #ClsSbp | OrigT | SbpT |
| --- | --- | --- | --- | --- |
| ii32e3<br>ii32e4 | PMS<br>PMS | 1756<br>2060 | 94.40<br>175.07 | 37.63<br>129.06 | | | c-fat500-10<br>c-fat500-1<br>c-fat500-2<br>c-fat500-5 | WMS<br>WMS<br>WMS<br>WMS | 2<br>112<br>12<br>4 | 57.79<br>0.03<br>0.16<br>0.16 | 11.62<br>0.06<br>0.11<br>0.11 |
| --- | --- | --- | --- | --- |
| MANNa27<br>MANNa45<br>MANNa81 | WMS<br>WMS<br>WMS | 1<br>1<br>1 | 1000<br>1000<br>1000 | 880.58<br>530.86<br>649.13 |
| 1502.dir<br>29.dir<br>54.dir<br>8.dir | WPMS<br>WPMS<br>WPMS<br>WPMS | 1560<br>132<br>98<br>58 | 0.34<br>1000<br>4.14<br>0.03 | 10.67<br>28.09<br>0.32<br>0.05 |
| 1502.log<br>29.log<br>404.log<br>54.log | WPMS<br>WPMS<br>WPMS<br>WPMS | 812<br>54<br>124<br>48 | 0.76<br>17.55<br>1000<br>2.37 | 0.71<br>0.82<br>64.24<br>0.16 | | 1 |
| Name | MStype | #ClsSbp | OrigT | SbpT |
| --- | --- | --- | --- | --- |
| ii32e3<br>ii32e4 | PMS<br>PMS | 1756<br>2060 | 94.40<br>175.07 | 37.63<br>129.06 | | | Name | #ClsSbp | OrigT | SbpT |
| --- | --- | --- | --- |
| hamming10-2<br>hamming10-4<br>hamming6-4<br>hamming8-2<br>hamming8-4 | 81<br>1<br>437<br>85<br>253 | 1000<br>886.57<br>0.17<br>1000<br>0.36 | 0.19<br>496.79<br>0.15<br>0.21<br>0.11 |
| MANNa27<br>MANNa45<br>MANNa81 | 85<br>79<br>79 | 1000<br>1000<br>1000 | 0.24<br>0.20<br>0.19 |
| hole10<br>hole11<br>hole12<br>hole7<br>hole8<br>hole9 | 758<br>922<br>1102<br>362<br>478<br>610 | 42.11<br>510.90<br>1000<br>0.10<br>0.40<br>3.68 | 0.24<br>0.47<br>1.78<br>0.11<br>0.13<br>0.17 |
| Urq35<br>Urq45 | 29<br>43 | 83.33<br>1000 | 0.27<br>50.88 |
| chnl1011<br>chnl1012<br>chnl1112 | 1954<br>2142<br>2370 | 1000<br>1000<br>1000 | 41.79<br>328.12<br>420.19 | | 0 |
| Name | MStype | #ClsSbp | OrigT | SbpT |
| --- | --- | --- | --- | --- |
| ii32e3<br>ii32e4 | PMS<br>PMS | 1756<br>2060 | 94.40<br>175.07 | 37.63<br>129.06 | | | c-fat500-10<br>c-fat500-1<br>c-fat500-2<br>c-fat500-5 | WMS<br>WMS<br>WMS<br>WMS | 2<br>112<br>12<br>4 | 57.79<br>0.03<br>0.16<br>0.16 | 11.62<br>0.06<br>0.11<br>0.11 |
| --- | --- | --- | --- | --- |
| MANNa27<br>MANNa45<br>MANNa81 | WMS<br>WMS<br>WMS | 1<br>1<br>1 | 1000<br>1000<br>1000 | 880.58<br>530.86<br>649.13 |
| 1502.dir<br>29.dir<br>54.dir<br>8.dir | WPMS<br>WPMS<br>WPMS<br>WPMS | 1560<br>132<br>98<br>58 | 0.34<br>1000<br>4.14<br>0.03 | 10.67<br>28.09<br>0.32<br>0.05 |
| 1502.log<br>29.log<br>404.log<br>54.log | WPMS<br>WPMS<br>WPMS<br>WPMS | 812<br>54<br>124<br>48 | 0.76<br>17.55<br>1000<br>2.37 | 0.71<br>0.82<br>64.24<br>0.16 | | 1 |
| Name | MStype | #ClsSbp | OrigT | SbpT |
| --- | --- | --- | --- | --- |
| ii32e3<br>ii32e4 | PMS<br>PMS | 1756<br>2060 | 94.40<br>175.07 | 37.63<br>129.06 | | | Urq35<br>Urq45 | 29<br>43 | 83.33<br>1000 | 0.27<br>50.88 |
| --- | --- | --- | --- |
| chnl1011<br>chnl1012<br>chnl1112 | 1954<br>2142<br>2370 | 1000<br>1000<br>1000 | 41.79<br>328.12<br>420.19 | | 0 |
| TestInput | OurR-DML | B-DML | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| RGB+Lidar(Type1.blank) | - | - | - | - | - | - | | | RGB+Lidar(Type2.occl.) | 83.31 | 82.23 | 74.41 | 80.50 | 77.37 | 68.89 |
| --- | --- | --- | --- | --- | --- | --- |
| RGB+Lidar(Type3.illum.) | 90.62 | 89.06 | 80.04 | 89.70 | 87.22 | 78.59 |
| RGB+Lidar(Type4.noise) | 83.10 | 73.34 | 65.67 | 78.15 | 66.52 | 58.25 | | 1 |
| TestInput | OurR-DML | B-DML | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| RGB+Lidar(Type1.blank) | - | - | - | - | - | - | | | Dataset/Descriptor | FPFH | SHOT | USC | RoPS | 3DBS-32 | 3DBS-64 |
| --- | --- | --- | --- | --- | --- | --- |
| RandomViews | 0.24334 | 0.24799 | 0.05982 | 0.20001 | 0.22341 | 0.24010 |
| LaserScanner | 0.07341 | 0.05018 | 0.01103 | 0.16310 | 0.155953 | 0.16389 |
| LIDAR | 0.00198 | 0.00136 | 0.00164 | 0.00521 | 0.004682 | 0.004897 |
| Retrieval | 0.49319 | 0.56114 | 0.59521 | 0.52457 | 0.61109 | 0.64120 | | 0 |
| TestInput | OurR-DML | B-DML | | | |
| --- | --- | --- | --- | --- | --- |
| | | | | | | | | RGB+Lidar(Type1.blank) | - | - | - | - | - | - |
| --- | --- | --- | --- | --- | --- | --- |
| RGB+Lidar(Type2.occl.) | 83.31 | 82.23 | 74.41 | 80.50 | 77.37 | 68.89 |
| RGB+Lidar(Type3.illum.) | 90.62 | 89.06 | 80.04 | 89.70 | 87.22 | 78.59 |
| RGB+Lidar(Type4.noise) | 83.10 | 73.34 | 65.67 | 78.15 | 66.52 | 58.25 | | 1 |
| TestInput | OurR-DML | B-DML | | | |
| --- | --- | --- | --- | --- | --- |
| | | | | | | | | LaserScanner | 0.07341 | 0.05018 | 0.01103 | 0.16310 | 0.155953 | 0.16389 |
| --- | --- | --- | --- | --- | --- | --- |
| LIDAR | 0.00198 | 0.00136 | 0.00164 | 0.00521 | 0.004682 | 0.004897 |
| Retrieval | 0.49319 | 0.56114 | 0.59521 | 0.52457 | 0.61109 | 0.64120 | | 0 |
| x | Exponentd | Constraints |
| --- | --- | --- |
| Gold | 2+1 | (r,n)=1 | | | Kasami-Welch | 2−2+1 | (r,n)=1,nodd |
| --- | --- | --- |
| Welch | 2+3 | n=2r+1 |
| Niho | 2+2−1<br>r(3r+1)/2<br>2+2−1 | n=2r+1,reven<br>n=2r+1,rodd |
| Inverse | 2−1 | n=2r+1 |
| Dobbertin | 2+2+2+2−1 | n=5r | | 1 |
| x | Exponentd | Constraints |
| --- | --- | --- |
| Gold | 2+1 | (r,n)=1 | | | x1,1 | x1,2 | ... | ... | x1,N |
| --- | --- | --- | --- | --- |
| x2,1 | x2,2 | ... | ... | x2,N |
| ... | ... | ... | ... | ... |
| ... | ... | ... | ... | ... |
| xM,1 | xM,2 | ... | ... | xM,N | | 0 |
| x | Exponentd | Constraints |
| --- | --- | --- |
| Gold | 2+1 | (r,n)=1 | | | Kasami-Welch | 2−2+1 | (r,n)=1,nodd |
| --- | --- | --- |
| Welch | 2+3 | n=2r+1 |
| Niho | 2+2−1<br>r(3r+1)/2<br>2+2−1 | n=2r+1,reven<br>n=2r+1,rodd |
| Inverse | 2−1 | n=2r+1 |
| Dobbertin | 2+2+2+2−1 | n=5r | | 1 |
| x | Exponentd | Constraints |
| --- | --- | --- |
| Gold | 2+1 | (r,n)=1 | | | ... | ... | ... | ... | ... |
| --- | --- | --- | --- | --- |
| ... | ... | ... | ... | ... |
| xM,1 | xM,2 | ... | ... | xM,N | | 0 |
| Parameter | Setting |
| --- | --- |
| Spacedomain(m×m) | 10,000×10,000 |
| Numberofobjects | 100K,200K,...,500K |
| Querywindowsize(m×m) | 200×200,400×400,...,1000×1000 |
| kNN-k | 10,20,30,...,50 |
| Querypredicttime(ts) | 0,30,60,...,120 | | | Nodesize(byte) | 1K,2K,4K,···,16K |
| --- | --- |
| Datasets | SEO,LD,BOS,SZ | | 1 |
| Parameter | Setting |
| --- | --- |
| Spacedomain(m×m) | 10,000×10,000 |
| Numberofobjects | 100K,200K,...,500K |
| Querywindowsize(m×m) | 200×200,400×400,...,1000×1000 |
| kNN-k | 10,20,30,...,50 |
| Querypredicttime(ts) | 0,30,60,...,120 | | | Phase | Step | RT(sec) |
| --- | --- | --- |
| LoadTime | LoadingModel | 30.50 |
| LoadTime | UDF:EmbedTuples | 55.00 |
| LoadTime | UDF:EmbedSentences | 150.00 |
| LoadTime | CreateIndexforTuples | 0.04 |
| LoadTime | CreateIndexforSentences | 3.07 |
| LoadTime | Sumoverallsteps | 208.1 |
| QueryTime | CrossJoinTop10 | 115.9 |
| QueryTime | UDF:QueryNNTop10Sent. | 9.60 |
| QueryTime | UDF:QueryNNTop10Tuples | 29.15 | | 0 |
| Parameter | Setting |
| --- | --- |
| Spacedomain(m×m) | 10,000×10,000 |
| Numberofobjects | 100K,200K,...,500K | | | Querywindowsize(m×m) | 200×200,400×400,...,1000×1000 |
| --- | --- |
| kNN-k | 10,20,30,...,50 |
| Querypredicttime(ts) | 0,30,60,...,120 |
| Nodesize(byte) | 1K,2K,4K,···,16K |
| Datasets | SEO,LD,BOS,SZ | | 1 |
| Parameter | Setting |
| --- | --- |
| Spacedomain(m×m) | 10,000×10,000 |
| Numberofobjects | 100K,200K,...,500K | | | QueryTime | UDF:QueryNNTop10Sent. | 9.60 |
| --- | --- | --- |
| QueryTime | UDF:QueryNNTop10Tuples | 29.15 | | 0 |
| Problem | Configuration | #Men | Board | Shortestsolutionunder<br>4-move6-move8-move | | |
| --- | --- | --- | --- | --- | --- | --- |
| #1 | Triangle | 6 | 9×9 | 25 | 23 | 16 |
| #2 | Triangle | 10 | 9×9 | 30 | 27(Fig??) | 20 |
| #3 | Triangle(jumpsonly) | 10 | 9×9 | 46 | 35(Fig??) | 21 | | | #4 | Triangle | 15 | 9×9 | 36† | 31†(Fig??) | 26† |
| --- | --- | --- | --- | --- | --- | --- |
| #5 | Square | 4 | 9×9 | 15 | 15 | 12 |
| #6 | Square | 9 | 9×9 | 25 | 25 | 16(Fig??) |
| #7 | Checkersstart | 12 | Fig??b | 20 | 16 | 16 |
| †-MCCsearchdidnotterminate,ashortersolutionmaybepossible. | | | | | | | | 1 |
| Problem | Configuration | #Men | Board | Shortestsolutionunder<br>4-move6-move8-move | | |
| --- | --- | --- | --- | --- | --- | --- |
| #1 | Triangle | 6 | 9×9 | 25 | 23 | 16 |
| #2 | Triangle | 10 | 9×9 | 30 | 27(Fig??) | 20 |
| #3 | Triangle(jumpsonly) | 10 | 9×9 | 46 | 35(Fig??) | 21 | | | Problem | VR | Q | Q’ | No.vehicles | No.Routes |
| --- | --- | --- | --- | --- | --- |
| 11eil51 | 2 | 160 | 320 | 6 | 3 |
| 16eil76A | 2 | 140 | 280 | 10 | 5 |
| 16eil76B | 3 | 100 | 300 | 15 | 5 |
| 16eil76C | 2 | 180 | 360 | 8 | 4 |
| 16eil76D | 2 | 220 | 440 | 6 | 3 |
| 21eil101A | 2 | 200 | 400 | 8 | 4 |
| 21eil101B | 2 | 112 | 224 | 14 | 7 | | 0 |
| Problem | Configuration | #Men | Board | Shortestsolutionunder<br>4-move6-move8-move | | |
| --- | --- | --- | --- | --- | --- | --- |
| #1 | Triangle | 6 | 9×9 | 25 | 23 | 16 | | | #2 | Triangle | 10 | 9×9 | 30 | 27(Fig??) | 20 |
| --- | --- | --- | --- | --- | --- | --- |
| #3 | Triangle(jumpsonly) | 10 | 9×9 | 46 | 35(Fig??) | 21 |
| #4 | Triangle | 15 | 9×9 | 36† | 31†(Fig??) | 26† |
| #5 | Square | 4 | 9×9 | 15 | 15 | 12 |
| #6 | Square | 9 | 9×9 | 25 | 25 | 16(Fig??) |
| #7 | Checkersstart | 12 | Fig??b | 20 | 16 | 16 |
| †-MCCsearchdidnotterminate,ashortersolutionmaybepossible. | | | | | | | | 1 |
| Problem | Configuration | #Men | Board | Shortestsolutionunder<br>4-move6-move8-move | | |
| --- | --- | --- | --- | --- | --- | --- |
| #1 | Triangle | 6 | 9×9 | 25 | 23 | 16 | | | 16eil76C | 2 | 180 | 360 | 8 | 4 |
| --- | --- | --- | --- | --- | --- |
| 16eil76D | 2 | 220 | 440 | 6 | 3 |
| 21eil101A | 2 | 200 | 400 | 8 | 4 |
| 21eil101B | 2 | 112 | 224 | 14 | 7 | | 0 |
| 81.16(80.8081.57) | 81.19(80.9881.46) | 81.13(80.5881.58) | 81.08(81.0181.13) | 81.06(80.4981.48) |
| --- | --- | --- | --- | --- |
| 45.97(45.6546.43) | 46.19(45.7146.64) | 46.28(45.8346.93) | 46.34(46.0446.98) | 44.22(43.8744.78) | | | 85.50(85.4685.54) | 85.62(85.5685.72) | 85.47(85.1985.58) | 85.35(85.0685.52) | 85.02(84.6485.31) |
| --- | --- | --- | --- | --- |
| 93.21(93.1393.31) | 93.19(93.0793.34) | 93.20(93.0393.39) | 92.67(92.4092.98) | 91.27(91.1691.43) |
| 91.41(91.2291.66) | 91.62(91.5191.70) | 91.56(91.4691.68) | 91.41(91.0191.64) | 91.03(90.8291.23) |
| 84.21(83.8184.62) | 83.88(83.5484.11) | 83.97(83.7384.16) | 83.97(83.7584.18) | 83.47(82.8683.72) |
| 89.40(89.1589.56) | 89.45(89.2689.60) | 89.14(89.0889.20) | 88.86(88.7089.05) | 87.88(87.7188.18) | | 1 |
| 81.16(80.8081.57) | 81.19(80.9881.46) | 81.13(80.5881.58) | 81.08(81.0181.13) | 81.06(80.4981.48) |
| --- | --- | --- | --- | --- |
| 45.97(45.6546.43) | 46.19(45.7146.64) | 46.28(45.8346.93) | 46.34(46.0446.98) | 44.22(43.8744.78) | | | 81.02(80.75,81.29) | 46.93(46.57,47.33) | 85.02(84.76,85.22) | 92.49(92.3592.63) | 90.90(90.6291.20) | 83.06(82.5083.42) |
| --- | --- | --- | --- | --- | --- |
| 81.33(81.04,81.71) | 47.11(46.77,47.43) | 85.40(84.98,85.67) | 92.93(92.8293.15) | 91.44(91.2091.60) | 84.00(83.5784.34) |
| 81.29(80.96,81.59) | 47.29(46.90,47.82) | 85.47(85.17,85.77) | 93.21(93.0393.37) | 91.44(91.1891.68) | 83.89(83.2484.47) |
| 81.38(81.21,81.68) | 46.91(46.22,47.38) | 85.33(85.25,85.72) | 93.08(92.9693.22) | 91.56(91.2691.90) | 84.00(83.2184.60) |
| 81.22(81.03,81.49) | 46.93(46.44,47.38) | 85.46(84.98,85.73) | 93.14(92.9093.33) | 91.58(91.3991.87) | 83.99(83.7384.31) |
| 81.19(80.94,81.42) | 46.74(46.19,47.12) | 85.41(85.04,85.83) | 93.11(92.9993.32) | 91.58(91.2991.81) | 83.94(83.0484.61) |
| 81.12(80.87,81.29) | 46.91(46.58,47.48) | 85.47(85.23,85.74) | 93.15(92.9993.29) | 91.58(91.3791.84) | 83.92(83.4084.54) |
| 81.13(80.64,81.33) | 46.96(46.62,47.31) | 85.46(85.17,85.64) | 93.10(92.9893.19) | 91.54(91.2891.73) | 84.09(83.5984.53) |
| 81.22(80.82,81.66) | 47.02(46.73,47.67) | 85.42(85.16,85.78) | 93.09(92.9593.25) | 91.45(91.2291.62) | 83.91(83.2484.40) |
| 81.19(80.79,81.43) | 46.98(46.63,47.59) | 85.48(85.27,85.79) | 93.06(92.8493.43) | 91.55(91.2691.84) | 83.94(83.0284.35) |
| 80.19(79.95,80.39) | 45.11(44.57,45.64) | 84.58(84.24,84.87) | 92.88(92.58,93.03) | 90.55(90.26,90.94) | 83.53(82.96,84.15) | | 0 |
| 81.16(80.8081.57) | 81.19(80.9881.46) | 81.13(80.5881.58) | 81.08(81.0181.13) | 81.06(80.4981.48) |
| --- | --- | --- | --- | --- |
| 45.97(45.6546.43) | 46.19(45.7146.64) | 46.28(45.8346.93) | 46.34(46.0446.98) | 44.22(43.8744.78) |
| 85.50(85.4685.54) | 85.62(85.5685.72) | 85.47(85.1985.58) | 85.35(85.0685.52) | 85.02(84.6485.31) |
| 93.21(93.1393.31) | 93.19(93.0793.34) | 93.20(93.0393.39) | 92.67(92.4092.98) | 91.27(91.1691.43) | | | 91.41(91.2291.66) | 91.62(91.5191.70) | 91.56(91.4691.68) | 91.41(91.0191.64) | 91.03(90.8291.23) |
| --- | --- | --- | --- | --- |
| 84.21(83.8184.62) | 83.88(83.5484.11) | 83.97(83.7384.16) | 83.97(83.7584.18) | 83.47(82.8683.72) |
| 89.40(89.1589.56) | 89.45(89.2689.60) | 89.14(89.0889.20) | 88.86(88.7089.05) | 87.88(87.7188.18) | | 1 |
| 81.16(80.8081.57) | 81.19(80.9881.46) | 81.13(80.5881.58) | 81.08(81.0181.13) | 81.06(80.4981.48) |
| --- | --- | --- | --- | --- |
| 45.97(45.6546.43) | 46.19(45.7146.64) | 46.28(45.8346.93) | 46.34(46.0446.98) | 44.22(43.8744.78) |
| 85.50(85.4685.54) | 85.62(85.5685.72) | 85.47(85.1985.58) | 85.35(85.0685.52) | 85.02(84.6485.31) |
| 93.21(93.1393.31) | 93.19(93.0793.34) | 93.20(93.0393.39) | 92.67(92.4092.98) | 91.27(91.1691.43) | | | 81.19(80.79,81.43) | 46.98(46.63,47.59) | 85.48(85.27,85.79) | 93.06(92.8493.43) | 91.55(91.2691.84) | 83.94(83.0284.35) |
| --- | --- | --- | --- | --- | --- |
| 80.19(79.95,80.39) | 45.11(44.57,45.64) | 84.58(84.24,84.87) | 92.88(92.58,93.03) | 90.55(90.26,90.94) | 83.53(82.96,84.15) | | 0 |
| Algorithm | 5000cases | 50cases | | |
| --- | --- | --- | --- | --- |
| | | | | |
| IAMB | 1±0 | 0.6875±0.0659 | 1±0 | 0.1250±0 |
| MMMB | 1±0 | 1±0 | 0.6885±0.1282 | 0.9000±0.0791 |
| HITON-MB | 1±0 | 1±0 | 0.6500±0.0791 | 0.6500±0.0791 | | | MRMR(k=nMB) | 0.6250±0 | 0.6250±0 | 0.6500±0.0527 | 0.6500±0.0527 |
| --- | --- | --- | --- | --- |
| CMIM(k=nMB) | 0.6250±0 | 0.6250±0 | 0.4875±0.1905 | 0.4875±0.1905 |
| JMI(k=nMB) | 0.7500±0 | 0.7500±0 | 0.6500±0.0791 | 0.6500±0.0791 | | 1 |
| Algorithm | 5000cases | 50cases | | |
| --- | --- | --- | --- | --- |
| | | | | |
| IAMB | 1±0 | 0.6875±0.0659 | 1±0 | 0.1250±0 |
| MMMB | 1±0 | 1±0 | 0.6885±0.1282 | 0.9000±0.0791 |
| HITON-MB | 1±0 | 1±0 | 0.6500±0.0791 | 0.6500±0.0791 | | | Algorithm | 5000cases | 50cases | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| IAMB | 4.3±0.4830 | 1.2±0.4216 | 0 | 1±0 | 0 | 0 |
| MMMB | 5±0 | 3±0 | 0 | 4.9±0.3162 | 2.3±0.6749 | 3.5±1.7159 |
| HITON-MB | 5±0 | 3±0 | 0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.6325 |
| mRMR(k=nMB) | 5±0 | 0 | 3±0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.4216 |
| CMIM(k=nMB) | 5±0 | 0 | 3±0 | 3.9±1.5239 | 0 | 3.1±1.1972 |
| JMI(k=nMB) | 5±0 | 1±0 | 2±0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.6325 | | 0 |
| Algorithm | 5000cases | 50cases | |
| --- | --- | --- | --- |
| | | | | | | IAMB | 1±0 | 0.6875±0.0659 | 1±0 | 0.1250±0 |
| --- | --- | --- | --- | --- |
| MMMB | 1±0 | 1±0 | 0.6885±0.1282 | 0.9000±0.0791 |
| HITON-MB | 1±0 | 1±0 | 0.6500±0.0791 | 0.6500±0.0791 |
| MRMR(k=nMB) | 0.6250±0 | 0.6250±0 | 0.6500±0.0527 | 0.6500±0.0527 |
| CMIM(k=nMB) | 0.6250±0 | 0.6250±0 | 0.4875±0.1905 | 0.4875±0.1905 |
| JMI(k=nMB) | 0.7500±0 | 0.7500±0 | 0.6500±0.0791 | 0.6500±0.0791 | | 1 |
| Algorithm | 5000cases | 50cases | |
| --- | --- | --- | --- |
| | | | | | | HITON-MB | 5±0 | 3±0 | 0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.6325 |
| --- | --- | --- | --- | --- | --- | --- |
| mRMR(k=nMB) | 5±0 | 0 | 3±0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.4216 |
| CMIM(k=nMB) | 5±0 | 0 | 3±0 | 3.9±1.5239 | 0 | 3.1±1.1972 |
| JMI(k=nMB) | 5±0 | 1±0 | 2±0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.6325 | | 0 |
| verb | Englishgloss | #ofsentences | #ofsenses | lowerbound |
| --- | --- | --- | --- | --- |
| ataeru | give | 136 | 4 | 66.9 |
| kakeru | hang | 160 | 29 | 25.6 |
| kuwaeru | add | 167 | 5 | 53.9 |
| noru | ride | 126 | 10 | 45.2 | | | osameru | govern | 108 | 8 | 25.0 |
| --- | --- | --- | --- | --- |
| tsukuru | make | 126 | 15 | 19.8 |
| toru | take | 84 | 29 | 26.2 |
| umu | bearoffspring | 90 | 2 | 81.1 |
| wakaru | understand | 60 | 5 | 48.3 |
| yameru | stop | 54 | 2 | 59.3 |
| total | — | 1111 | — | 43.7 | | 1 |
| verb | Englishgloss | #ofsentences | #ofsenses | lowerbound |
| --- | --- | --- | --- | --- |
| ataeru | give | 136 | 4 | 66.9 |
| kakeru | hang | 160 | 29 | 25.6 |
| kuwaeru | add | 167 | 5 | 53.9 |
| noru | ride | 126 | 10 | 45.2 | | | | CROATIAN | ENGLISH | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | CO | SIN | SHU | SYL | GR | CO | SIN | SHU | SYL | GR |
| N | 23359 | 23359 | 23359 | 2634 | 34 | 10930 | 10930 | 10930 | 2599 | 26 |
| K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 |
| L | 4.01 | 1.81 | 3.74 | 1.86 | 1.58 | 3.47 | 1.96 | 0.45 | 1.88 | 1.51 |
| C | 0.167 | 0.120 | 0.182 | 0.255 | 0.636 | 0.286 | 0.153 | 0.295 | 0.057 | 0.838 |
| T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 |
| ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 | | 0 |
| verb | Englishgloss | #ofsentences | #ofsenses | lowerbound |
| --- | --- | --- | --- | --- |
| ataeru | give | 136 | 4 | 66.9 |
| kakeru | hang | 160 | 29 | 25.6 |
| kuwaeru | add | 167 | 5 | 53.9 |
| noru | ride | 126 | 10 | 45.2 |
| osameru | govern | 108 | 8 | 25.0 |
| tsukuru | make | 126 | 15 | 19.8 |
| toru | take | 84 | 29 | 26.2 |
| umu | bearoffspring | 90 | 2 | 81.1 |
| wakaru | understand | 60 | 5 | 48.3 | | | yameru | stop | 54 | 2 | 59.3 |
| --- | --- | --- | --- | --- |
| total | — | 1111 | — | 43.7 | | 1 |
| verb | Englishgloss | #ofsentences | #ofsenses | lowerbound |
| --- | --- | --- | --- | --- |
| ataeru | give | 136 | 4 | 66.9 |
| kakeru | hang | 160 | 29 | 25.6 |
| kuwaeru | add | 167 | 5 | 53.9 |
| noru | ride | 126 | 10 | 45.2 |
| osameru | govern | 108 | 8 | 25.0 |
| tsukuru | make | 126 | 15 | 19.8 |
| toru | take | 84 | 29 | 26.2 |
| umu | bearoffspring | 90 | 2 | 81.1 |
| wakaru | understand | 60 | 5 | 48.3 | | | K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| L | 4.01 | 1.81 | 3.74 | 1.86 | 1.58 | 3.47 | 1.96 | 0.45 | 1.88 | 1.51 |
| C | 0.167 | 0.120 | 0.182 | 0.255 | 0.636 | 0.286 | 0.153 | 0.295 | 0.057 | 0.838 |
| T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 |
| ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 | | 0 |
| Micro-F1 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |
| Deepwalk | 0.5600 | 0.5769 | 0.5839 | 0.6027 | Deepwalk | 0.4552 | 0.4896 | 0.5114 |
| Line | 0.5220 | 0.4939 | 0.4895 | 0.5080 | Line | 0.4193 | 0.3920 | 0.3946 |
| Node2vec | 0.5760 | 0.5860 | 0.5952 | 0.6112 | Node2vec | 0.4858 | 0.5040 | 0.525 | | | TextOnly | 0.6113 | 0.6472 | 0.6698 | 0.6894 | TextOnly | 0.6044 | 0.6333 | 0.6521 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Naivecombination | 0.7440 | 0.7476 | 0.7524 | 0.7511 | Naivecombination | 0.718 | 0.7233 | 0.7284 |
| TADW | 0.5023 | 0.6031 | 0.6657 | 0.7179 | TADW | 0.4925 | 0.5904 | 0.6497 |
| Deepwalk(hete) | 0.7555 | 0.7582 | 0.7684 | 0.7771 | Deepwalk(hete) | 0.7299 | 0.7319 | 0.7451 |
| Line(hete) | 0.7669 | 0.7703 | 0.7792 | 0.7853 | Line(hete) | 0.7442 | 0.7479 | 0.7578 |
| Node2vec(hete) | 0.7553 | 0.7623 | 0.7716 | 0.7787 | Node2vec(hete) | 0.7294 | 0.7387 | 0.7495 |
| GERI | 0.7695 | 0.7786 | 0.7867 | 0.7919 | GERI | 0.7474 | 0.7548 | 0.7646 | | 1 |
| Micro-F1 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |
| Deepwalk | 0.5600 | 0.5769 | 0.5839 | 0.6027 | Deepwalk | 0.4552 | 0.4896 | 0.5114 |
| Line | 0.5220 | 0.4939 | 0.4895 | 0.5080 | Line | 0.4193 | 0.3920 | 0.3946 |
| Node2vec | 0.5760 | 0.5860 | 0.5952 | 0.6112 | Node2vec | 0.4858 | 0.5040 | 0.525 | | | Micro-F1 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |
| Deepwalk | 0.5306 | 0.546 | 0.5832 | 0.5832 | Deepwalk | 0.4755 | 0.4981 | 0.4981 |
| Line | 0.4695 | 0.6757 | 0.6908 | 0.7044 | Line | 0.4695 | 0.6112 | 0.6355 |
| Node2vec | 0.5380 | 0.5524 | 0.5692 | 0.6029 | Node2vec | 0.4633 | 0.4828 | 0.5108 |
| TextOnly | 0.7030 | 0.7131 | 0.7121 | 0.7039 | TextOnly | 0.6305 | 0.6559 | 0.6683 |
| Naivecombination | 0.7070 | 0.7042 | 0.7138 | 0.7012 | Naivecombination | 0.6684 | 0.6665 | 0.6779 |
| TADW | 0.3952 | 0.5139 | 0.6751 | 0.718 | TADW | 0.3121 | 0.4465 | 0.6156 |
| Deepwalk(hete) | 0.7077 | 0.7114 | 0.7213 | 0.6993 | Deepwalk(hete) | 0.6332 | 0.6531 | 0.6725 |
| Line(hete) | 0.7159 | 0.7228 | 0.7165 | 0.7065 | Line(hete) | 0.6408 | 0.6569 | 0.655 |
| Node2vec(hete) | 0.7185 | 0.7219 | 0.7222 | 0.7077 | Node2vec(hete) | 0.6487 | 0.6645 | 0.6764 |
| GERI | 0.7427 | 0.7472 | 0.7457 | 0.7358 | GERI | 0.6794 | 0.6962 | 0.7004 | | 0 |
| Micro-F1 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |
| Deepwalk | 0.5600 | 0.5769 | 0.5839 | 0.6027 | Deepwalk | 0.4552 | 0.4896 | 0.5114 |
| Line | 0.5220 | 0.4939 | 0.4895 | 0.5080 | Line | 0.4193 | 0.3920 | 0.3946 |
| Node2vec | 0.5760 | 0.5860 | 0.5952 | 0.6112 | Node2vec | 0.4858 | 0.5040 | 0.525 |
| TextOnly | 0.6113 | 0.6472 | 0.6698 | 0.6894 | TextOnly | 0.6044 | 0.6333 | 0.6521 |
| Naivecombination | 0.7440 | 0.7476 | 0.7524 | 0.7511 | Naivecombination | 0.718 | 0.7233 | 0.7284 |
| TADW | 0.5023 | 0.6031 | 0.6657 | 0.7179 | TADW | 0.4925 | 0.5904 | 0.6497 |
| Deepwalk(hete) | 0.7555 | 0.7582 | 0.7684 | 0.7771 | Deepwalk(hete) | 0.7299 | 0.7319 | 0.7451 |
| Line(hete) | 0.7669 | 0.7703 | 0.7792 | 0.7853 | Line(hete) | 0.7442 | 0.7479 | 0.7578 | | | Node2vec(hete) | 0.7553 | 0.7623 | 0.7716 | 0.7787 | Node2vec(hete) | 0.7294 | 0.7387 | 0.7495 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| GERI | 0.7695 | 0.7786 | 0.7867 | 0.7919 | GERI | 0.7474 | 0.7548 | 0.7646 | | 1 |
| Micro-F1 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |
| Deepwalk | 0.5600 | 0.5769 | 0.5839 | 0.6027 | Deepwalk | 0.4552 | 0.4896 | 0.5114 |
| Line | 0.5220 | 0.4939 | 0.4895 | 0.5080 | Line | 0.4193 | 0.3920 | 0.3946 |
| Node2vec | 0.5760 | 0.5860 | 0.5952 | 0.6112 | Node2vec | 0.4858 | 0.5040 | 0.525 |
| TextOnly | 0.6113 | 0.6472 | 0.6698 | 0.6894 | TextOnly | 0.6044 | 0.6333 | 0.6521 |
| Naivecombination | 0.7440 | 0.7476 | 0.7524 | 0.7511 | Naivecombination | 0.718 | 0.7233 | 0.7284 |
| TADW | 0.5023 | 0.6031 | 0.6657 | 0.7179 | TADW | 0.4925 | 0.5904 | 0.6497 |
| Deepwalk(hete) | 0.7555 | 0.7582 | 0.7684 | 0.7771 | Deepwalk(hete) | 0.7299 | 0.7319 | 0.7451 |
| Line(hete) | 0.7669 | 0.7703 | 0.7792 | 0.7853 | Line(hete) | 0.7442 | 0.7479 | 0.7578 | | | Node2vec(hete) | 0.7185 | 0.7219 | 0.7222 | 0.7077 | Node2vec(hete) | 0.6487 | 0.6645 | 0.6764 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| GERI | 0.7427 | 0.7472 | 0.7457 | 0.7358 | GERI | 0.6794 | 0.6962 | 0.7004 | | 0 |
| Layertype | Configuration |
| --- | --- |
| conv | Filtersize:1,Stridesize:1,featuremaps:11 |
| conv | Filtersize:7,Stridesize:4,featuremaps:108 |
| conv | Filtersize:1,Stridesize:1,featuremaps:8 | | | conv | Filtersize:6,Stridesize:3,featuremaps:92 |
| --- | --- |
| full | Neurons:906 |
| full | Neurons:2 | | 1 |
| Layertype | Configuration |
| --- | --- |
| conv | Filtersize:1,Stridesize:1,featuremaps:11 |
| conv | Filtersize:7,Stridesize:4,featuremaps:108 |
| conv | Filtersize:1,Stridesize:1,featuremaps:8 | | | Layertype | Configuration |
| --- | --- |
| conv | Filtersize:2,Stridesize:1,featuremaps:26 |
| conv | Filtersize:6,Stridesize:3,featuremaps:82 |
| conv | Filtersize:8,Stridesize:4,featuremaps:114 |
| conv | Filtersize:7,Stridesize:4,featuremaps:107 |
| full | Neurons:1686 |
| full | Neurons:10 | | 0 |
| Layertype | Configuration |
| --- | --- |
| conv | Filtersize:1,Stridesize:1,featuremaps:11 |
| conv | Filtersize:7,Stridesize:4,featuremaps:108 |
| conv | Filtersize:1,Stridesize:1,featuremaps:8 |
| conv | Filtersize:6,Stridesize:3,featuremaps:92 | | | full | Neurons:906 |
| --- | --- |
| full | Neurons:2 | | 1 |
| Layertype | Configuration |
| --- | --- |
| conv | Filtersize:1,Stridesize:1,featuremaps:11 |
| conv | Filtersize:7,Stridesize:4,featuremaps:108 |
| conv | Filtersize:1,Stridesize:1,featuremaps:8 |
| conv | Filtersize:6,Stridesize:3,featuremaps:92 | | | conv | Filtersize:8,Stridesize:4,featuremaps:114 |
| --- | --- |
| conv | Filtersize:7,Stridesize:4,featuremaps:107 |
| full | Neurons:1686 |
| full | Neurons:10 | | 0 |
| Words | Similarity |
| --- | --- |
| jewel-gem | 0.908008550956 |
| jewel-jewel | 0.997421032224 |
| jewel-stone | 0.475813717007 |
| jewel-used | 0.0 |
| jewel-jewellery | 0.509332774797 |
| stone-gem | 0.180732071642 |
| stone-jewel | 0.217431543606 |
| stone-stone | 0.901187866267 |
| stone-used | 0.0 |
| stone-jewellery | 0.220266070205 |
| used-gem | 0.0 |
| used-jewel | 0.0 |
| used-stone | 0.0 |
| used-used | 0.42189900525 |
| used-jewellery | 0.0 |
| decorate-gem | 0.0 |
| decorate-jewel | 0.0 |
| decorate-stone | 0.0 |
| decorate-used | 0.0 |
| decorate-jewellery | 0.0 |
| valuable-gem | 0.0 |
| valuable-jewel | 0.0 |
| valuable-stone | 0.0 |
| valuable-used | 0.0 |
| valuable-jewellery | 0.0 |
| things-gem | 0.284462910289 |
| things-jewel | 0.406309448212 |
| things-stone | 0.198770510639 |
| things-used | 0.0 |
| things-jewellery | 0.346687374295 |
| wear-gem | 0.0 |
| wear-jewel | 0.0 |
| wear-stone | 0.0 |
| wear-used | 0.0 |
| wear-jewellery | 0.0 |
| rings-gem | 0.485032351325 |
| rings-jewel | 0.456849659596 |
| rings-stone | 0.100270000776 |
| rings-used | 0.0 |
| rings-jewellery | 0.592019999822 |
| necklaces-gem | 0.669319889871 |
| necklaces-jewel | 0.41718607131 |
| necklaces-stone | 0.0856785820827 | | | necklaces-used | 0.0 |
| --- | --- |
| necklaces-<br>jewellery | 0.81750915958 | | 1 |
| Words | Similarity |
| --- | --- |
| jewel-gem | 0.908008550956 |
| jewel-jewel | 0.997421032224 |
| jewel-stone | 0.475813717007 |
| jewel-used | 0.0 |
| jewel-jewellery | 0.509332774797 |
| stone-gem | 0.180732071642 |
| stone-jewel | 0.217431543606 |
| stone-stone | 0.901187866267 |
| stone-used | 0.0 |
| stone-jewellery | 0.220266070205 |
| used-gem | 0.0 |
| used-jewel | 0.0 |
| used-stone | 0.0 |
| used-used | 0.42189900525 |
| used-jewellery | 0.0 |
| decorate-gem | 0.0 |
| decorate-jewel | 0.0 |
| decorate-stone | 0.0 |
| decorate-used | 0.0 |
| decorate-jewellery | 0.0 |
| valuable-gem | 0.0 |
| valuable-jewel | 0.0 |
| valuable-stone | 0.0 |
| valuable-used | 0.0 |
| valuable-jewellery | 0.0 |
| things-gem | 0.284462910289 |
| things-jewel | 0.406309448212 |
| things-stone | 0.198770510639 |
| things-used | 0.0 |
| things-jewellery | 0.346687374295 |
| wear-gem | 0.0 |
| wear-jewel | 0.0 |
| wear-stone | 0.0 |
| wear-used | 0.0 |
| wear-jewellery | 0.0 |
| rings-gem | 0.485032351325 |
| rings-jewel | 0.456849659596 |
| rings-stone | 0.100270000776 |
| rings-used | 0.0 |
| rings-jewellery | 0.592019999822 |
| necklaces-gem | 0.669319889871 |
| necklaces-jewel | 0.41718607131 |
| necklaces-stone | 0.0856785820827 | | | Words | Similarity |
| --- | --- |
| gem-jewel | 0.908008550956 |
| gem-stone | 0.180732071642 |
| gem-used | 0.0 |
| gem-decorate | 0.0 |
| gem-valuable | 0.0 |
| gem-things | 0.284462910289 |
| gem-wear | 0.0 |
| gem-rings | 0.485032351325 |
| gem-necklaces | 0.669319889871 |
| jewel-jewel | 0.997421032224 |
| jewel-stone | 0.217431543606 |
| jewel-used | 0.0 |
| jewel-decorate | 0.0 |
| jewel-valuable | 0.0 |
| jewel-things | 0.406309448212 |
| jewel-wear | 0.0 |
| jewel-rings | 0.456849659596 |
| jewel-necklaces | 0.41718607131 |
| stone-jewel | 0.475813717007 |
| stone-stone | 0.901187866267 |
| stone-used | 0.0 |
| stone-decorate | 0.0 |
| stone-valuable | 0.0 |
| stone-things | 0.198770510639 |
| stone-wear | 0.0 |
| stone-rings | 0.100270000776 |
| stone-necklaces | 0.0856785820827 |
| used-jewel | 0.0 |
| used-stone | 0.0 |
| used-used | 0.42189900525 |
| used-decorate | 0.0 |
| used-valuable | 0.0 |
| used-things | 0.0 |
| used-wear | 0.0 |
| used-rings | 0.0 |
| used-necklaces | 0.0 |
| jewellery-jewel | 0.509332774797 |
| jewellery-stone | 0.220266070205 |
| jewellery-used | 0.0 |
| jewellery-decorate | 0.0 |
| jewellery-valuable | 0.0 |
| jewellery-things | 0.346687374295 |
| jewellery-wear | 0.0 |
| jewellery-rings | 0.592019999822 |
| jewellery-<br>necklaces | 0.81750915958 | | 0 |
| Words | Similarity |
| --- | --- |
| jewel-gem | 0.908008550956 |
| jewel-jewel | 0.997421032224 | | | jewel-stone | 0.475813717007 |
| --- | --- |
| jewel-used | 0.0 |
| jewel-jewellery | 0.509332774797 |
| stone-gem | 0.180732071642 |
| stone-jewel | 0.217431543606 |
| stone-stone | 0.901187866267 |
| stone-used | 0.0 |
| stone-jewellery | 0.220266070205 |
| used-gem | 0.0 |
| used-jewel | 0.0 |
| used-stone | 0.0 |
| used-used | 0.42189900525 |
| used-jewellery | 0.0 |
| decorate-gem | 0.0 |
| decorate-jewel | 0.0 |
| decorate-stone | 0.0 |
| decorate-used | 0.0 |
| decorate-jewellery | 0.0 |
| valuable-gem | 0.0 |
| valuable-jewel | 0.0 |
| valuable-stone | 0.0 |
| valuable-used | 0.0 |
| valuable-jewellery | 0.0 |
| things-gem | 0.284462910289 |
| things-jewel | 0.406309448212 |
| things-stone | 0.198770510639 |
| things-used | 0.0 |
| things-jewellery | 0.346687374295 |
| wear-gem | 0.0 |
| wear-jewel | 0.0 |
| wear-stone | 0.0 |
| wear-used | 0.0 |
| wear-jewellery | 0.0 |
| rings-gem | 0.485032351325 |
| rings-jewel | 0.456849659596 |
| rings-stone | 0.100270000776 |
| rings-used | 0.0 |
| rings-jewellery | 0.592019999822 |
| necklaces-gem | 0.669319889871 |
| necklaces-jewel | 0.41718607131 |
| necklaces-stone | 0.0856785820827 |
| necklaces-used | 0.0 |
| necklaces-<br>jewellery | 0.81750915958 | | 1 |
| Words | Similarity |
| --- | --- |
| jewel-gem | 0.908008550956 |
| jewel-jewel | 0.997421032224 | | | stone-rings | 0.100270000776 |
| --- | --- |
| stone-necklaces | 0.0856785820827 |
| used-jewel | 0.0 |
| used-stone | 0.0 |
| used-used | 0.42189900525 |
| used-decorate | 0.0 |
| used-valuable | 0.0 |
| used-things | 0.0 |
| used-wear | 0.0 |
| used-rings | 0.0 |
| used-necklaces | 0.0 |
| jewellery-jewel | 0.509332774797 |
| jewellery-stone | 0.220266070205 |
| jewellery-used | 0.0 |
| jewellery-decorate | 0.0 |
| jewellery-valuable | 0.0 |
| jewellery-things | 0.346687374295 |
| jewellery-wear | 0.0 |
| jewellery-rings | 0.592019999822 |
| jewellery-<br>necklaces | 0.81750915958 | | 0 |
| Model | RMSE |
| --- | --- |
| Poissonregression | 17.81 |
| Linearregression | 15.1 |
| SVR | 7.4 |
| ARMA(0,1) | 12.44 |
| ARMA(0,2) | 12.42 |
| ARMA(1,0) | 12.03 |
| ARMA(1,1) | 12.03 |
| ARMA(1,2) | 9.88 |
| ARMA(2,0) | 12.03 | | | ARMA(2,1) | 10.53 |
| --- | --- |
| ARMA(2,2) | 11.15 | | 1 |
| Model | RMSE |
| --- | --- |
| Poissonregression | 17.81 |
| Linearregression | 15.1 |
| SVR | 7.4 |
| ARMA(0,1) | 12.44 |
| ARMA(0,2) | 12.42 |
| ARMA(1,0) | 12.03 |
| ARMA(1,1) | 12.03 |
| ARMA(1,2) | 9.88 |
| ARMA(2,0) | 12.03 | | | | HR | s=3 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| LR-3 | Non-Joint-3 | Joint-3 | Joint-OA | LR-4 | Non-Joint-4 | Joint-4 | | |
| RMSE | 0.146 | 0.142 | 0.121 | 0.132 | 0.129 | 0.155 | 0.123 | 0.127 |
| CC | 0.430 | 0.392 | 0.363 | 0.396 | 0.399 | 0.381 | 0.354 | 0.380 |
| CCC | 0.325 | 0.302 | 0.293 | 0.323 | 0.328 | 0.283 | 0.281 | 0.319 |
| | HR | s=6 | | | | | | |
| LR-6 | Non-Joint-6 | Joint-6 | Joint-OA | LR-8 | Non-Joint-8 | Joint-8 | | |
| RMSE | 0.146 | 0.149 | 0.128 | 0.127 | 0.134 | 0.161 | 0.129 | 0.134 |
| CC | 0.430 | 0.300 | 0.344 | 0.325 | 0.375 | 0.323 | 0.317 | 0.320 |
| CCC | 0.325 | 0.263 | 0.280 | 0.274 | 0.309 | 0.238 | 0.265 | 0.266 |
| | HR | s=12 | | | | | | |
| LR-12 | Non-Joint-12 | Joint-12 | Joint-OA | LR-16 | Non-Joint-16 | Joint-16 | | |
| RMSE | 0.146 | 0.143 | 0.126 | 0.125 | 0.132 | 0.137 | 0.124 | 0.137 |
| CC | 0.430 | 0.291 | 0.287 | 0.246 | 0.308 | 0.316 | 0.244 | 0.219 |
| CCC | 0.325 | 0.224 | 0.235 | 0.204 | 0.223 | 0.212 | 0.191 | 0.192 | | 0 |
| Model | RMSE |
| --- | --- |
| Poissonregression | 17.81 | | | Linearregression | 15.1 |
| --- | --- |
| SVR | 7.4 |
| ARMA(0,1) | 12.44 |
| ARMA(0,2) | 12.42 |
| ARMA(1,0) | 12.03 |
| ARMA(1,1) | 12.03 |
| ARMA(1,2) | 9.88 |
| ARMA(2,0) | 12.03 |
| ARMA(2,1) | 10.53 |
| ARMA(2,2) | 11.15 | | 1 |
| Model | RMSE |
| --- | --- |
| Poissonregression | 17.81 | | | LR-6 | Non-Joint-6 | Joint-6 | Joint-OA | LR-8 | Non-Joint-8 | Joint-8 | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| RMSE | 0.146 | 0.149 | 0.128 | 0.127 | 0.134 | 0.161 | 0.129 | 0.134 |
| CC | 0.430 | 0.300 | 0.344 | 0.325 | 0.375 | 0.323 | 0.317 | 0.320 |
| CCC | 0.325 | 0.263 | 0.280 | 0.274 | 0.309 | 0.238 | 0.265 | 0.266 |
| | HR | s=12 | | | | | | |
| LR-12 | Non-Joint-12 | Joint-12 | Joint-OA | LR-16 | Non-Joint-16 | Joint-16 | | |
| RMSE | 0.146 | 0.143 | 0.126 | 0.125 | 0.132 | 0.137 | 0.124 | 0.137 |
| CC | 0.430 | 0.291 | 0.287 | 0.246 | 0.308 | 0.316 | 0.244 | 0.219 |
| CCC | 0.325 | 0.224 | 0.235 | 0.204 | 0.223 | 0.212 | 0.191 | 0.192 | | 0 |
| Articletitle | StartDate<br>(MM/DD/YYYY) | EndDate<br>(MM/DD/YYYY) | Duration<br>(years) | Edits | Unique<br>Editors |
| --- | --- | --- | --- | --- | --- |
| Aikodo | 11/29/2001 | 06/13/2004 | 2.5 | 72 | 62 |
| Angel | 11/30/2001 | 12/09/2005 | 4.0 | 341 | 277 |
| Baryon | 02/25/2002 | 08/25/2005 | 3.5 | 73 | 62 | | | BoardGame | 11/04/2001 | 12/30/2004 | 3.2 | 220 | 155 |
| --- | --- | --- | --- | --- | --- |
| BuckminsterFuller | 12/13/2001 | 07/14/2004 | 2.6 | 65 | 55 |
| CenterforDisease<br>ControlandPrevention | 10/16/2001 | 03/05/2006 | 4.4 | 65 | 58 |
| ClassicalMechanics | 06/06/2002 | 08/13/2006 | 4.2 | 202 | 165 |
| DartmouthCollege | 10/01/2001 | 08/26/2004 | 2.9 | 70 | 55 |
| ErinBrockovich | 09/24/2001 | 02/02/2006 | 4.4 | 59 | 54 |
| Total | | | 31.7 | 1167 | 943 |
| Average | | | 3.5 | 129.7 | 104.8 | | 1 |
| Articletitle | StartDate<br>(MM/DD/YYYY) | EndDate<br>(MM/DD/YYYY) | Duration<br>(years) | Edits | Unique<br>Editors |
| --- | --- | --- | --- | --- | --- |
| Aikodo | 11/29/2001 | 06/13/2004 | 2.5 | 72 | 62 |
| Angel | 11/30/2001 | 12/09/2005 | 4.0 | 341 | 277 |
| Baryon | 02/25/2002 | 08/25/2005 | 3.5 | 73 | 62 | | | | Activities | Units | Segments | Clips | Duration | Setting | Persons |
| --- | --- | --- | --- | --- | --- | --- | --- |
| ChaLAP | - | 11 | 166 | 7 | 6min | staged | 8 |
| YouCook | - | 7 | 1422 | 88(46) | 0.7h | youtube | - |
| Toyassembly | 3 | 40 | 479 | 29 | 1.06h | lab | 2 |
| CMUMMAC(*) | 1 | 37 | 2238 | 37 | 4.4h | lab | 16 |
| 50Salads | 2 | 51 | 2603 | 50 | 5.3h | lab | 25 |
| MPIICooking | 14 | 65 | 5609(1861BG) | 44 | 8.1h | lab | 12 |
| MPIIComposite | 55 | 78 | 12642 | 256 | 18.2h | lab | 30 |
| Breakfast | 10 | 48 | 11441(2992BG) | 1712 | 66.7h | wild | 52 |
| BreakfastFine | 10 | 178 | 31325(2154BG) | 804 | 49.6h | wild | 52 | | 0 |
| Articletitle | StartDate<br>(MM/DD/YYYY) | EndDate<br>(MM/DD/YYYY) | Duration<br>(years) | Edits | Unique<br>Editors |
| --- | --- | --- | --- | --- | --- |
| Aikodo | 11/29/2001 | 06/13/2004 | 2.5 | 72 | 62 | | | Angel | 11/30/2001 | 12/09/2005 | 4.0 | 341 | 277 |
| --- | --- | --- | --- | --- | --- |
| Baryon | 02/25/2002 | 08/25/2005 | 3.5 | 73 | 62 |
| BoardGame | 11/04/2001 | 12/30/2004 | 3.2 | 220 | 155 |
| BuckminsterFuller | 12/13/2001 | 07/14/2004 | 2.6 | 65 | 55 |
| CenterforDisease<br>ControlandPrevention | 10/16/2001 | 03/05/2006 | 4.4 | 65 | 58 |
| ClassicalMechanics | 06/06/2002 | 08/13/2006 | 4.2 | 202 | 165 |
| DartmouthCollege | 10/01/2001 | 08/26/2004 | 2.9 | 70 | 55 |
| ErinBrockovich | 09/24/2001 | 02/02/2006 | 4.4 | 59 | 54 |
| Total | | | 31.7 | 1167 | 943 |
| Average | | | 3.5 | 129.7 | 104.8 | | 1 |
| Articletitle | StartDate<br>(MM/DD/YYYY) | EndDate<br>(MM/DD/YYYY) | Duration<br>(years) | Edits | Unique<br>Editors |
| --- | --- | --- | --- | --- | --- |
| Aikodo | 11/29/2001 | 06/13/2004 | 2.5 | 72 | 62 | | | CMUMMAC(*) | 1 | 37 | 2238 | 37 | 4.4h | lab | 16 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 50Salads | 2 | 51 | 2603 | 50 | 5.3h | lab | 25 |
| MPIICooking | 14 | 65 | 5609(1861BG) | 44 | 8.1h | lab | 12 |
| MPIIComposite | 55 | 78 | 12642 | 256 | 18.2h | lab | 30 |
| Breakfast | 10 | 48 | 11441(2992BG) | 1712 | 66.7h | wild | 52 |
| BreakfastFine | 10 | 178 | 31325(2154BG) | 804 | 49.6h | wild | 52 | | 0 |
| ColumnName | Type |
| --- | --- |
| indexdimension1 | typeinbasetable | | | indexdimension2 | typeinbasetable |
| --- | --- |
| indexdimension3 | typeinbasetable |
| bucketname | string |
| offset | array<bigint> | | 1 |
| ColumnName | Type |
| --- | --- |
| indexdimension1 | typeinbasetable | | | Tables | DatasetSize | | | | |
| --- | --- | --- | --- | --- | --- |
| | 65000 | 101000 | 219500 | 300000 | 466737 |
| Nodes | 982212 | 1523732 | 3360798 | 4598454 | 7190330 |
| Relationships | 153477291 | 183955761 | 285778449 | 375437997 | 490033038 |
| Properties | 384189475 | 461537287 | 719874720 | 946265404 | 1238579332 | | 0 |
| ColumnName | Type |
| --- | --- |
| indexdimension1 | typeinbasetable |
| indexdimension2 | typeinbasetable |
| indexdimension3 | typeinbasetable | | | bucketname | string |
| --- | --- |
| offset | array<bigint> | | 1 |
| ColumnName | Type |
| --- | --- |
| indexdimension1 | typeinbasetable |
| indexdimension2 | typeinbasetable |
| indexdimension3 | typeinbasetable | | | Relationships | 153477291 | 183955761 | 285778449 | 375437997 | 490033038 |
| --- | --- | --- | --- | --- | --- |
| Properties | 384189475 | 461537287 | 719874720 | 946265404 | 1238579332 | | 0 |
| | SVMSVM(RR)SVM(SDB)SVM(RM) |
| --- | --- |
| labelerror<br>bias<br>RRB | 0.2718(5.7e-17)0.2793(0.009)0.2716(0.013)0.2876(0.015)<br>0.0550(1.4e-17)0.1460(0.017)0.0106(0.035)0.0260(0.047)<br>0.2424(0.045)0.2588(0.009)0.3064(0.042)0.2552(0.032) | | | | LRLR(RR)LR(SDB)LR(RM) |
| --- | --- |
| labelerror<br>bias<br>RRB | 0.2742(1.14e-16)0.3130(0.011)0.2745(0.010)0.2966(0.008)<br>0.1468(9.99e-18)0.3025(0.040)0.0034(0.640)0.0732(0.024)<br>0.1971(0.036)0.3213(0.035)0.8596(0.067)0.2117(0.036) |
| | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |
| labelerror<br>bias<br>RRB | 0.2690(0.004)0.3088(0.009)0.2990(0.008)0.2860(0.019)0.2687(0.008)<br>0.0966(0.020)0.2123(0.013)0.0140(0.017)0.0180(0.037)0.0463(0.016)<br>0.2864(0.057)0.3996(0.105)0.4027(0.061)0.3325(0.060)0.2971(0.028) | | 1 |
| | SVMSVM(RR)SVM(SDB)SVM(RM) |
| --- | --- |
| labelerror<br>bias<br>RRB | 0.2718(5.7e-17)0.2793(0.009)0.2716(0.013)0.2876(0.015)<br>0.0550(1.4e-17)0.1460(0.017)0.0106(0.035)0.0260(0.047)<br>0.2424(0.045)0.2588(0.009)0.3064(0.042)0.2552(0.032) | | | | SVMSVM(RR)SVM(SDB)SVM(RM)CND |
| --- | --- |
| labelerror<br>bias<br>RRB | 0.2823(0)0.2778(0.025)0.2979(0.022)0.3000(0.017)0.2757<br>0.0886(4.2e-17)0.0732(0.066)0.0266(0.085)0.0445(0.028)0.0327<br>0.6756(0.081)0.7827(0.054)0.8619(0.041)0.6232(0.070)n/a |
| | LRLR(RR)LR(SDB)LR(RM) |
| labelerror<br>bias<br>RRB | 0.2541(0.005)0.2656(0.020)0.2685(0.021)0.2625(0.011)<br>0.1383(0.014)0.0095(0.064)0.0142(0.219)0.0202(0.566)<br>0.3070(0.067)0.8564(0.045)0.8687(0.042)0.6741(0.045) |
| | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |
| labelerror<br>bias<br>RRB | 0.2602(0.009)0.2429(0.010)0.2745(0.010)0.2637(0.019)0.2859(0.016)<br>0.2617(0.272)0.0376(0.044)0.0034(0.064)0.0391(0.023)0.0093(0.035)<br>0.6774(0.219)0.8629(0.051)0.8596(0.067)0.6965(0.037)0.6879(0.042) | | 0 |
| | SVMSVM(RR)SVM(SDB)SVM(RM) |
| --- | --- |
| labelerror<br>bias<br>RRB | 0.2718(5.7e-17)0.2793(0.009)0.2716(0.013)0.2876(0.015)<br>0.0550(1.4e-17)0.1460(0.017)0.0106(0.035)0.0260(0.047)<br>0.2424(0.045)0.2588(0.009)0.3064(0.042)0.2552(0.032) |
| | LRLR(RR)LR(SDB)LR(RM) | | | labelerror<br>bias<br>RRB | 0.2742(1.14e-16)0.3130(0.011)0.2745(0.010)0.2966(0.008)<br>0.1468(9.99e-18)0.3025(0.040)0.0034(0.640)0.0732(0.024)<br>0.1971(0.036)0.3213(0.035)0.8596(0.067)0.2117(0.036) |
| --- | --- |
| | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |
| labelerror<br>bias<br>RRB | 0.2690(0.004)0.3088(0.009)0.2990(0.008)0.2860(0.019)0.2687(0.008)<br>0.0966(0.020)0.2123(0.013)0.0140(0.017)0.0180(0.037)0.0463(0.016)<br>0.2864(0.057)0.3996(0.105)0.4027(0.061)0.3325(0.060)0.2971(0.028) | | 1 |
| | SVMSVM(RR)SVM(SDB)SVM(RM) |
| --- | --- |
| labelerror<br>bias<br>RRB | 0.2718(5.7e-17)0.2793(0.009)0.2716(0.013)0.2876(0.015)<br>0.0550(1.4e-17)0.1460(0.017)0.0106(0.035)0.0260(0.047)<br>0.2424(0.045)0.2588(0.009)0.3064(0.042)0.2552(0.032) |
| | LRLR(RR)LR(SDB)LR(RM) | | | | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |
| --- | --- |
| labelerror<br>bias<br>RRB | 0.2602(0.009)0.2429(0.010)0.2745(0.010)0.2637(0.019)0.2859(0.016)<br>0.2617(0.272)0.0376(0.044)0.0034(0.064)0.0391(0.023)0.0093(0.035)<br>0.6774(0.219)0.8629(0.051)0.8596(0.067)0.6965(0.037)0.6879(0.042) | | 0 |
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