premise
string
hypothesis
string
label
int64
| Property | Simulation | StarcraftII | | --- | --- | --- | | Population | 50 | 50 | | Generations | 100 | 100 | | Species | 5 | 5 | | InitialConnProbability | 0.2 | 0.1 | | ElitismProportion | 0.2 | 0.2 | | SelectionProportion | 0.2 | 0.2 | | AsexualOffspringProportion | 0.5 | 0.8 | | SexualOffspringProportion | 0.5 | 0...
| Inter-speciesMating | 0.01 | 0.01 | | --- | --- | --- | | ConnectionWeightRange | 5 | 7 | | ProbabilityWeightMutation | 0.95 | 0.95 | | ProbabilityAddNode | 0.01 | 0.02 | | ProbabilityAddConnection | 0.025 | 0.04 | | ProbabilityDeleteConnection | 0.025 | 0.025 |
1
| Property | Simulation | StarcraftII | | --- | --- | --- | | Population | 50 | 50 | | Generations | 100 | 100 | | Species | 5 | 5 | | InitialConnProbability | 0.2 | 0.1 | | ElitismProportion | 0.2 | 0.2 | | SelectionProportion | 0.2 | 0.2 | | AsexualOffspringProportion | 0.5 | 0.8 | | SexualOffspringProportion | 0.5 | 0...
| Feature | Starbucks | Dun.Don. | McDon. | | --- | --- | --- | --- | | GeographicFeatures | | | | | Density | 0.60 | 0.79 | 0.73 | | Entropy | 0.65 | 0.60 | 0.69 | | Competitiveness | 0.70 | 0.68 | 0.78 | | JensenQuality | 0.54 | 0.81 | 0.72 | | MobilityFeatures | | | | | AreaPopularity | 0.54 | 0.77 | 0.78 | | ...
0
| Property | Simulation | StarcraftII | | --- | --- | --- | | Population | 50 | 50 | | Generations | 100 | 100 | | Species | 5 | 5 | | InitialConnProbability | 0.2 | 0.1 | | ElitismProportion | 0.2 | 0.2 |
| SelectionProportion | 0.2 | 0.2 | | --- | --- | --- | | AsexualOffspringProportion | 0.5 | 0.8 | | SexualOffspringProportion | 0.5 | 0.2 | | Inter-speciesMating | 0.01 | 0.01 | | ConnectionWeightRange | 5 | 7 | | ProbabilityWeightMutation | 0.95 | 0.95 | | ProbabilityAddNode | 0.01 | 0.02 | | ProbabilityAddConnection |...
1
| Property | Simulation | StarcraftII | | --- | --- | --- | | Population | 50 | 50 | | Generations | 100 | 100 | | Species | 5 | 5 | | InitialConnProbability | 0.2 | 0.1 | | ElitismProportion | 0.2 | 0.2 |
| MobilityFeatures | | | | | --- | --- | --- | --- | | AreaPopularity | 0.54 | 0.77 | 0.78 | | TransitionDensity | 0.62 | 0.79 | 0.78 | | IncomingFlow | 0.60 | 0.75 | 0.79 | | TransitionQuality | 0.66 | 0.81 | 0.73 | | RandomBaseline | | | | | | 0.48 | 0.51 | 0.53 |
0
| Link | Thedegreeofdependence | | --- | --- | | (S,S)835 | 0.6 | | (S,S)358 | 0.2 |
| (S,S)1013 | 0.7 | | --- | --- | | (S,S)1310 | 0.3 |
1
| Link | Thedegreeofdependence | | --- | --- | | (S,S)835 | 0.6 | | (S,S)358 | 0.2 |
| Link | Thedegreeofdependence | | --- | --- | | (S,S)115 | 0.7 | | (S,S)511 | 0.6 | | (S,S)1223 | 0.3 | | (S,S)2312 | 0.1 |
0
| Link | Thedegreeofdependence | | --- | --- | | (S,S)835 | 0.6 |
| (S,S)358 | 0.2 | | --- | --- | | (S,S)1013 | 0.7 | | (S,S)1310 | 0.3 |
1
| Link | Thedegreeofdependence | | --- | --- | | (S,S)835 | 0.6 |
| (S,S)1223 | 0.3 | | --- | --- | | (S,S)2312 | 0.1 |
0
| | ExactlyK-sparsesignal | | | | --- | --- | --- | --- | | Samples | Complexity | Assumption | Samples |
| | 4<br>O(KlogN) | 5<br>O(KlogN) | K=O(N) | 4<br>O(KlogN) | | --- | --- | --- | --- | --- | | | O(K) | O(KlogN) | K=O(N) | N<br>O(Klog()/loglogN)<br>K | | | O(K) | O(KlogK+K(loglogN)) | K=O(N) | O(KlogN) | | | O(K) | 3O(KlogN) | K=O(N) | void | | | O(K) | O(KlogK) | α<br>K=O(N),α<1 | void | | Thispaper | O(K) | O...
1
| | ExactlyK-sparsesignal | | | | --- | --- | --- | --- | | Samples | Complexity | Assumption | Samples |
| Step | Complexity | | --- | --- | | 1 | O(Nl)orO(Km) | | 2 | O(Nl)orO(Kml) | | 3 | O(Kt) | | 4 | O(N)orO(Km/l) |
0
| | ExactlyK-sparsesignal | | | | | --- | --- | --- | --- | --- | | Samples | Complexity | Assumption | Samples | | | | 4<br>O(KlogN) | 5<br>O(KlogN) | K=O(N) | 4<br>O(KlogN) | | | O(K) | O(KlogN) | K=O(N) | N<br>O(Klog()/loglogN)<br>K |
| | O(K) | O(KlogK+K(loglogN)) | K=O(N) | O(KlogN) | | --- | --- | --- | --- | --- | | | O(K) | 3O(KlogN) | K=O(N) | void | | | O(K) | O(KlogK) | α<br>K=O(N),α<1 | void | | Thispaper | O(K) | O(KlogK) | K=O(N) | O(K) |
1
| | ExactlyK-sparsesignal | | | | | --- | --- | --- | --- | --- | | Samples | Complexity | Assumption | Samples | | | | 4<br>O(KlogN) | 5<br>O(KlogN) | K=O(N) | 4<br>O(KlogN) | | | O(K) | O(KlogN) | K=O(N) | N<br>O(Klog()/loglogN)<br>K |
| 2 | O(Nl)orO(Kml) | | --- | --- | | 3 | O(Kt) | | 4 | O(N)orO(Km/l) |
0
| normalimages | ε=2test | ε=4test | ε=6test | | --- | --- | --- | --- | | 0.9725 | 0.9704 | 0.9687 | 0.9663 | | 0.9758 | 0.6258 | 0.9719 | 0.9638 |
| 0.9812 | 0.5303 | 0.9640 | 0.9751 | | --- | --- | --- | --- | | 0.9868 | 0.3916 | 0.9589 | 0.9637 |
1
| normalimages | ε=2test | ε=4test | ε=6test | | --- | --- | --- | --- | | 0.9725 | 0.9704 | 0.9687 | 0.9663 | | 0.9758 | 0.6258 | 0.9719 | 0.9638 |
| normalimages | ε=2test | ε=4test | ε=6test | | --- | --- | --- | --- | | 0.9708 | 0.9638 | 0.9371 | 0.8895 | | 0.9737 | 0.7189 | 0.9675 | 0.9643 | | 0.9749 | 0.3620 | 0.9611 | 0.9725 | | 0.9760 | 0.3211 | 0.9565 | 0.9737 |
0
| normalimages | ε=2test | ε=4test | ε=6test | | --- | --- | --- | --- | | 0.9725 | 0.9704 | 0.9687 | 0.9663 | | 0.9758 | 0.6258 | 0.9719 | 0.9638 |
| 0.9812 | 0.5303 | 0.9640 | 0.9751 | | --- | --- | --- | --- | | 0.9868 | 0.3916 | 0.9589 | 0.9637 |
1
| normalimages | ε=2test | ε=4test | ε=6test | | --- | --- | --- | --- | | 0.9725 | 0.9704 | 0.9687 | 0.9663 | | 0.9758 | 0.6258 | 0.9719 | 0.9638 |
| 0.9737 | 0.7189 | 0.9675 | 0.9643 | | --- | --- | --- | --- | | 0.9749 | 0.3620 | 0.9611 | 0.9725 | | 0.9760 | 0.3211 | 0.9565 | 0.9737 |
0
| Scenario | Workload | Application/Process | SNRb(dB) | | --- | --- | --- | --- | | #1 | Idle | Backgroundprocesses | 36.47 | | #2 | Wordprocessing | LibreOfficeWriter | 36.00 |
| #3 | Videoplay | VLCPlayer | 35.31 | | --- | --- | --- | --- | | #4 | Backup | rsync | 32.04 | | #5 | Calculations | matho-primes | 33.97 |
1
| Scenario | Workload | Application/Process | SNRb(dB) | | --- | --- | --- | --- | | #1 | Idle | Backgroundprocesses | 36.47 | | #2 | Wordprocessing | LibreOfficeWriter | 36.00 |
| Job/Task | Scheduler | FIFO | Fair | Capacity | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | | | | | | | | | | | | | | | | | | | Job | CPU(ms) | 11495 | 8415 | 12647 | 9538 | 14475 | 10784 | | Memory(10bytes | 7479 | 4530 | 7741 | 3647 | 9463 | 5486 | | | HDFSRead(10bytes) | 9930 | 74...
0
| Scenario | Workload | Application/Process | SNRb(dB) | | --- | --- | --- | --- | | #1 | Idle | Backgroundprocesses | 36.47 | | #2 | Wordprocessing | LibreOfficeWriter | 36.00 |
| #3 | Videoplay | VLCPlayer | 35.31 | | --- | --- | --- | --- | | #4 | Backup | rsync | 32.04 | | #5 | Calculations | matho-primes | 33.97 |
1
| Scenario | Workload | Application/Process | SNRb(dB) | | --- | --- | --- | --- | | #1 | Idle | Backgroundprocesses | 36.47 | | #2 | Wordprocessing | LibreOfficeWriter | 36.00 |
| HDFSRead(10bytes) | 1638 | 1215 | 1894 | 1428 | 7426 | 4541 | | --- | --- | --- | --- | --- | --- | --- | | HDFSWrite(10bytes) | 1774 | 1385 | 3643 | 2429 | 5052 | 3715 |
0
| Problem | ACS | TimeACS | SAM | TimeSAM | | --- | --- | --- | --- | --- | | 11eil51 | 429.85 | 210.20 | 424.05 | 96.40 | | 16eil76A | 706.09 | 109.20 | 677.85 | 187.60 |
| 16eil76B | 684.04 | 50.7 | 608.62 | 173.7 | | --- | --- | --- | --- | --- | | 16eil76C | 625.87 | 73.00 | 602.06 | 42.25 | | 16eil76D | 566.56 | 93.20 | 533.12 | 223.45 | | 21eil101A | 699.46 | 29.00 | 690.39 | 124.30 | | 21eil101B | 996.41 | 25.95 | 998.71 | 27.90 |
1
| Problem | ACS | TimeACS | SAM | TimeSAM | | --- | --- | --- | --- | --- | | 11eil51 | 429.85 | 210.20 | 424.05 | 96.40 | | 16eil76A | 706.09 | 109.20 | 677.85 | 187.60 |
| nd | Time<br>A1A2BCOurs | Iterations<br>A1A2BCOurs | | --- | --- | --- | | 50010 | 0.060.030.120.04 | 168.744.5435.544.2 | | 100010 | 0.150.030.140.10 | 330.741.6344.454.5 | | 500020 | 1.70.363.111.08 | 246.846464.269.7 | | 1000020 | 4.460.584.653.40 | 319.236.3334.4105.2 | | 3000030 | 276.4524.5910.43 | 446.4103.640...
0
| Problem | ACS | TimeACS | SAM | TimeSAM | | --- | --- | --- | --- | --- | | 11eil51 | 429.85 | 210.20 | 424.05 | 96.40 | | 16eil76A | 706.09 | 109.20 | 677.85 | 187.60 | | 16eil76B | 684.04 | 50.7 | 608.62 | 173.7 | | 16eil76C | 625.87 | 73.00 | 602.06 | 42.25 | | 16eil76D | 566.56 | 93.20 | 533.12 | 223.45 |
| 21eil101A | 699.46 | 29.00 | 690.39 | 124.30 | | --- | --- | --- | --- | --- | | 21eil101B | 996.41 | 25.95 | 998.71 | 27.90 |
1
| Problem | ACS | TimeACS | SAM | TimeSAM | | --- | --- | --- | --- | --- | | 11eil51 | 429.85 | 210.20 | 424.05 | 96.40 | | 16eil76A | 706.09 | 109.20 | 677.85 | 187.60 | | 16eil76B | 684.04 | 50.7 | 608.62 | 173.7 | | 16eil76C | 625.87 | 73.00 | 602.06 | 42.25 | | 16eil76D | 566.56 | 93.20 | 533.12 | 223.45 |
| 500020 | 1.70.363.111.08 | 246.846464.269.7 | | --- | --- | --- | | 1000020 | 4.460.584.653.40 | 319.236.3334.4105.2 | | 3000030 | 276.4524.5910.43 | 446.4103.640977.8 | | 5000050 | 71.6216.8768.7818.69 | 429.898.4415.154.5 | | 100000100 | 287.9977.74268.1183.18 | 451.7119422.663 |
0
| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 | | --- | --- | --- | --- | --- | --- | --- | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 50.5<br>49.0<br>53.1<br>58.2<br>61.5<br>63.1<br>62.8<br>63.6 | 80.3<br>81....
| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 | | --- | --- | --- | --- | --- | --- | --- | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 58.6<br>56.9<br>60.3<br>63.3<br>66.8<br>68.2<br>68.3<br>68.6 | 87.6<br>85.8...
1
| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 | | --- | --- | --- | --- | --- | --- | --- | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 50.5<br>49.0<br>53.1<br>58.2<br>61.5<br>63.1<br>62.8<br>63.6 | 80.3<br>81....
| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 | | --- | --- | --- | --- | --- | --- | --- | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 33.5<br>32.3<br>33.9<br>36.7<br>38.6<br>43.3<br>43.0<br>43.8 | 70.1<br>68....
0
| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 | | --- | --- | --- | --- | --- | --- | --- | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 50.5<br>49.0<br>53.1<br>58.2<br>61.5<br>63.1<br>62.8<br>63.6 | 80.3<br>81....
| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 | | --- | --- | --- | --- | --- | --- | --- | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 58.6<br>56.9<br>60.3<br>63.3<br>66.8<br>68.2<br>68.3<br>68.6 | 87.6<br>85.8...
1
| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 | | --- | --- | --- | --- | --- | --- | --- | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 50.5<br>49.0<br>53.1<br>58.2<br>61.5<br>63.1<br>62.8<br>63.6 | 80.3<br>81....
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 35.8<br>36.0<br>36.8<br>39.0<br>41.2<br>45.4<br>45.1<br>45.8 | 70.5<br>69.7<br>70.9<br>71.9<br>73.6<br>75.8<br>75.5<br>76.3 | 83.7<br>81.7<br>83.4<br>84.3<br>84.8<br>8...
0
| Design | TR | MATEX | MATEXw/grouping | | --- | --- | --- | --- | | #Sub. | #Sub. | #MaxSub. | |
| ibmpg1t | 1000 | 830 | 120 | | --- | --- | --- | --- | | ibmpg2t | 1000 | 830 | 120 | | ibmpg3t | 1000 | 874 | 120 | | ibmpg4t | 1000 | 349 | 143 | | ibmpg5t | 1000 | 982 | 139 | | ibmpg6t | 1000 | 932 | 134 |
1
| Design | TR | MATEX | MATEXw/grouping | | --- | --- | --- | --- | | #Sub. | #Sub. | #MaxSub. | |
| Homosapiens75 | | | | | | | | --- | --- | --- | --- | --- | --- | --- | | Run1 | Run2 | | | | | | | Subsampleperc | Top3 | Top5 | Top10 | Top3 | Top5 | Top10 | | 25 | 0 | 0 | 0 | 0 | 0 | 0 | | 55 | 0 | 0 | 2 | 0 | 1 | 1 | | 75 | 1 | 1 | 2 | 1 | 1 | 3 | | 90 | 0 | 0 | 0 | 0 | 0 | 1 | | 100 | 3 | 5 | 10 | 3 ...
0
| Design | TR | MATEX | MATEXw/grouping | | --- | --- | --- | --- | | #Sub. | #Sub. | #MaxSub. | | | ibmpg1t | 1000 | 830 | 120 |
| ibmpg2t | 1000 | 830 | 120 | | --- | --- | --- | --- | | ibmpg3t | 1000 | 874 | 120 | | ibmpg4t | 1000 | 349 | 143 | | ibmpg5t | 1000 | 982 | 139 | | ibmpg6t | 1000 | 932 | 134 |
1
| Design | TR | MATEX | MATEXw/grouping | | --- | --- | --- | --- | | #Sub. | #Sub. | #MaxSub. | | | ibmpg1t | 1000 | 830 | 120 |
| 90 | 0 | 0 | 0 | 0 | 0 | 1 | | --- | --- | --- | --- | --- | --- | --- | | 100 | 3 | 5 | 10 | 3 | 5 | 10 |
0
| Movingobjects | Imp | Roadobjects | Imp | Fixedobjects | Imp | | --- | --- | --- | --- | --- | --- | | Child | 32 | Road | 18 | TrafficLight | 17 | | Pedestrian | 31 | RoadShoulder | 19 | SignSymbol | 16 | | Animal | 30 | LaneMkgsDriv | 20 | TrafficCone | 15 | | Bicyclist | 29 | LaneMkgsNonDriv | 21 | ColumnPole | 14 | |...
| Car | 26 | Tunnel | 2 | ParkingBlock | 11 | | --- | --- | --- | --- | --- | --- | | SUVPickupTruck | 25 | Sky | 1 | MiscText | 10 | | TruckBus | 24 | | | Building | 9 | | Train | 23 | | | Fence | 8 | | Misc | 22 | | | Wall | 7 | | | | | | Tree | 6 | | | | | | VegetationMisc | 5 | | | | | | Void | 4 ...
1
| Movingobjects | Imp | Roadobjects | Imp | Fixedobjects | Imp | | --- | --- | --- | --- | --- | --- | | Child | 32 | Road | 18 | TrafficLight | 17 | | Pedestrian | 31 | RoadShoulder | 19 | SignSymbol | 16 | | Animal | 30 | LaneMkgsDriv | 20 | TrafficCone | 15 | | Bicyclist | 29 | LaneMkgsNonDriv | 21 | ColumnPole | 14 | |...
| Actions | SlideLeft | SlideRight | Touch | Reach | Push | | --- | --- | --- | --- | --- | --- | | VerbValue | 0.0 | 0.1 | 0.2 | 0.3 | 0.4 | | Actions | Pull | Point | Grasp | Lift | | | VerbValues | 0.5 | 0.6 | 0.7 | 0.8 | | | Objects | Tractor | Hammer | Ball | Bus | Modi | | NounValue | 0.0 | 0.1 | 0.2 | 0.3 | 0....
0
| Movingobjects | Imp | Roadobjects | Imp | Fixedobjects | Imp | | --- | --- | --- | --- | --- | --- | | Child | 32 | Road | 18 | TrafficLight | 17 | | Pedestrian | 31 | RoadShoulder | 19 | SignSymbol | 16 | | Animal | 30 | LaneMkgsDriv | 20 | TrafficCone | 15 | | Bicyclist | 29 | LaneMkgsNonDriv | 21 | ColumnPole | 14 | |...
| | | | | Tree | 6 | | --- | --- | --- | --- | --- | --- | | | | | | VegetationMisc | 5 | | | | | | Void | 4 |
1
| Movingobjects | Imp | Roadobjects | Imp | Fixedobjects | Imp | | --- | --- | --- | --- | --- | --- | | Child | 32 | Road | 18 | TrafficLight | 17 | | Pedestrian | 31 | RoadShoulder | 19 | SignSymbol | 16 | | Animal | 30 | LaneMkgsDriv | 20 | TrafficCone | 15 | | Bicyclist | 29 | LaneMkgsNonDriv | 21 | ColumnPole | 14 | |...
| Actions | Pull | Point | Grasp | Lift | | | --- | --- | --- | --- | --- | --- | | VerbValues | 0.5 | 0.6 | 0.7 | 0.8 | | | Objects | Tractor | Hammer | Ball | Bus | Modi | | NounValue | 0.0 | 0.1 | 0.2 | 0.3 | 0.4 | | Objects | Car | Cup | Cubes | Spiky | | | NounValues | 0.5 | 0.6 | 0.7 | 0.8 | |
0
| | 100K | 1M | 10M | 100M | | --- | --- | --- | --- | --- | | Bib | 0m0.057s | 0m0.638s | 0m8.344s | 1m28.725s | | LSN | 0m0.225s | 0m1.451s | 0m23.018s | 3m11.318s |
| WD | 0m2.163s | 0m25.032s | 4m10.988s | 113m31.078s | | --- | --- | --- | --- | --- | | SP | 0m0.638s | 0m7.048s | 1m28.831s | 15m23.542s |
1
| | 100K | 1M | 10M | 100M | | --- | --- | --- | --- | --- | | Bib | 0m0.057s | 0m0.638s | 0m8.344s | 1m28.725s | | LSN | 0m0.225s | 0m1.451s | 0m23.018s | 3m11.318s |
| measure | P@5 | P@10 | P@20 | NDCG@5 | NDCG@10 | NDCG@20 | MAP | bpref | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | 0.4941 | 0.3824 | 0.2853 | 0.5068 | 0.4248 | 0.3416 | 0.1608 | 0.8536 | | | 0.3176 | 0.2706 | 0.2118 | 0.3525 | 0.3075 | 0.253 | 0.1151 | 0.7303 | | | 0.4353 | 0.3471 | 0.2912 | 0.45...
0
| | 100K | 1M | 10M | 100M | | --- | --- | --- | --- | --- | | Bib | 0m0.057s | 0m0.638s | 0m8.344s | 1m28.725s |
| LSN | 0m0.225s | 0m1.451s | 0m23.018s | 3m11.318s | | --- | --- | --- | --- | --- | | WD | 0m2.163s | 0m25.032s | 4m10.988s | 113m31.078s | | SP | 0m0.638s | 0m7.048s | 1m28.831s | 15m23.542s |
1
| | 100K | 1M | 10M | 100M | | --- | --- | --- | --- | --- | | Bib | 0m0.057s | 0m0.638s | 0m8.344s | 1m28.725s |
| RankClass | 0.7529 | 0.6647 | 0.5176 | 0.7666 | 0.7026 | 0.5867 | 0.3598 | 0.8981 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | LE-expert | 0.8118 | 0.7118 | 0.5559 | 0.8027 | 0.7361 | 0.618 | 0.3826 | 0.9451 |
0
| Size | Height | Chestlength | Waistlength | Hiplength | Groupsize | | --- | --- | --- | --- | --- | --- | | T1girl | 1241 | 610 | 540 | 661 | 57 | | T2girl | 1259 | 678 | 622 | 754 | 39 | | T3girl | 1362 | 660 | 571.5 | 723.5 | 56 |
| T4girl | 1361.5 | 747.5 | 673 | 814 | 34 | | --- | --- | --- | --- | --- | --- | | T5girl | 1417 | 832 | 767 | 903 | 9 |
1
| Size | Height | Chestlength | Waistlength | Hiplength | Groupsize | | --- | --- | --- | --- | --- | --- | | T1girl | 1241 | 610 | 540 | 661 | 57 | | T2girl | 1259 | 678 | 622 | 754 | 39 | | T3girl | 1362 | 660 | 571.5 | 723.5 | 56 |
| Attribute | male | longhair | glasses | hat | tshirt | longsleeves | short | jeans | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | DL-Pure | 80.65 | 63.23 | 30.74 | 57.21 | 37.99 | 71.76 | 35.05 | 60.18 | | DeCAF | 79.64 | 62.29 | 31.29 | 55.17 | 41.84 | 78.77 | 80.66 | 81.46 | | Poselets150L2 | 81.70 | 6...
0
| Size | Height | Chestlength | Waistlength | Hiplength | Groupsize | | --- | --- | --- | --- | --- | --- | | T1girl | 1241 | 610 | 540 | 661 | 57 | | T2girl | 1259 | 678 | 622 | 754 | 39 |
| T3girl | 1362 | 660 | 571.5 | 723.5 | 56 | | --- | --- | --- | --- | --- | --- | | T4girl | 1361.5 | 747.5 | 673 | 814 | 34 | | T5girl | 1417 | 832 | 767 | 903 | 9 |
1
| Size | Height | Chestlength | Waistlength | Hiplength | Groupsize | | --- | --- | --- | --- | --- | --- | | T1girl | 1241 | 610 | 540 | 661 | 57 | | T2girl | 1259 | 678 | 622 | 754 | 39 |
| DLPoselets | 92.10 | 82.26 | 76.25 | 65.55 | 44.83 | 77.31 | 43.71 | 52.52 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | PANDA | 91.66 | 82.70 | 69.95 | 74.22 | 49.84 | 86.01 | 79.08 | 80.99 |
0
| Name | Description | | --- | --- | | NRM-glo | Theneuralmodelbyusingthe<br>lasthiddenstatehasthecon-T<br>textinput. | | NRM-loc | Theneuralmodelbyusingthe<br>weightedsumofhiddenstates<br>asthecontextinput | | NRM-hyb | Theneuralmodelbyusingthe<br>hybridoftheencodersofNR-<br>gloloc<br>MandNRM |
| IR-l2r | IR-basedmethodwithfourteen<br>differentfeaturesandlearned<br>bylearningtorank | | --- | --- | | SMT | Statisticalmachinetranslation<br>modelbyusingtheMoseswith<br>defaultsettings. |
1
| Name | Description | | --- | --- | | NRM-glo | Theneuralmodelbyusingthe<br>lasthiddenstatehasthecon-T<br>textinput. | | NRM-loc | Theneuralmodelbyusingthe<br>weightedsumofhiddenstates<br>asthecontextinput | | NRM-hyb | Theneuralmodelbyusingthe<br>hybridoftheencodersofNR-<br>gloloc<br>MandNRM |
| Name | Abbr. | Description | | --- | --- | --- | | Bar´abasi-Albert | BA | Originalpreferentialattachmentmodel | | HeuristicallyOptimizedTrade-offs | FKP | Localoptimizationmodel | | GeneralizedLinearPreference | GLP | Modifiedpreferentialattachmentmodel | | UnivariateHeuristicallyOptimizedTrade-offs | UFKP | Modifiedloc...
0
| Name | Description | | --- | --- | | NRM-glo | Theneuralmodelbyusingthe<br>lasthiddenstatehasthecon-T<br>textinput. | | NRM-loc | Theneuralmodelbyusingthe<br>weightedsumofhiddenstates<br>asthecontextinput |
| NRM-hyb | Theneuralmodelbyusingthe<br>hybridoftheencodersofNR-<br>gloloc<br>MandNRM | | --- | --- | | IR-l2r | IR-basedmethodwithfourteen<br>differentfeaturesandlearned<br>bylearningtorank | | SMT | Statisticalmachinetranslation<br>modelbyusingtheMoseswith<br>defaultsettings. |
1
| Name | Description | | --- | --- | | NRM-glo | Theneuralmodelbyusingthe<br>lasthiddenstatehasthecon-T<br>textinput. | | NRM-loc | Theneuralmodelbyusingthe<br>weightedsumofhiddenstates<br>asthecontextinput |
| GeneralizedLinearPreference | GLP | Modifiedpreferentialattachmentmodel | | --- | --- | --- | | UnivariateHeuristicallyOptimizedTrade-offs | UFKP | Modifiedlocaloptimizationmodel | | BivariateHeuristicallyOptimizedTrade-offs | BFKP | Modifiedlocaloptimizationmodel | | MultivariateHeuristicallyOptimizedTrade-offs | MFKP | M...
0
| Method | RMSE | WRMSE | DistanceTravelled | RelativeVibration | | --- | --- | --- | --- | --- | | BO-DUCB | 0.59±0.09 | 0.31±0.05 | 31.25±1.98 | 0.95±0.04 | | UBO-DUCB | 0.64±0.12 | 0.34±0.08 | 35.49±1.23 | 0.95±0.04 |
| UIBO-DUCB | 0.59±0.15 | 0.26±0.08 | 16.12±2.04 | 0.61±0.17 | | --- | --- | --- | --- | --- | | BO-ES | 0.58±0.10 | 0.32±0.07 | 57.07±2.73 | 1.00 | | UBO-ES | 0.64±0.12 | 0.34±0.08 | 67.15±2.56 | 1.00±0.03 | | UIBO-ES | 0.38±0.05 | 0.22±0.05 | 62.85±2.06 | 0.99±0.03 |
1
| Method | RMSE | WRMSE | DistanceTravelled | RelativeVibration | | --- | --- | --- | --- | --- | | BO-DUCB | 0.59±0.09 | 0.31±0.05 | 31.25±1.98 | 0.95±0.04 | | UBO-DUCB | 0.64±0.12 | 0.34±0.08 | 35.49±1.23 | 0.95±0.04 |
| Strategy | RMSE±STD | Time | Nb | µ | | --- | --- | --- | --- | --- | | SK-Hype | 0.3279±0.1596 | 0.2145 | 211 | - | | GKKM | 0.3269±0.1594 | 0.6759 | 7 | 0.9220 | | M=5,µ=0.2500,σ=0.04500 | | | | | | CCBS<br>GCBS | 0.3427±0.1751<br>0.3446±0.1767 | 0.0606<br>0.0209 | 6<br>6 | 0.2461<br>0.2439 | | M=10,µ=0.1111,σ=...
0
| Method | RMSE | WRMSE | DistanceTravelled | RelativeVibration | | --- | --- | --- | --- | --- | | BO-DUCB | 0.59±0.09 | 0.31±0.05 | 31.25±1.98 | 0.95±0.04 | | UBO-DUCB | 0.64±0.12 | 0.34±0.08 | 35.49±1.23 | 0.95±0.04 |
| UIBO-DUCB | 0.59±0.15 | 0.26±0.08 | 16.12±2.04 | 0.61±0.17 | | --- | --- | --- | --- | --- | | BO-ES | 0.58±0.10 | 0.32±0.07 | 57.07±2.73 | 1.00 | | UBO-ES | 0.64±0.12 | 0.34±0.08 | 67.15±2.56 | 1.00±0.03 | | UIBO-ES | 0.38±0.05 | 0.22±0.05 | 62.85±2.06 | 0.99±0.03 |
1
| Method | RMSE | WRMSE | DistanceTravelled | RelativeVibration | | --- | --- | --- | --- | --- | | BO-DUCB | 0.59±0.09 | 0.31±0.05 | 31.25±1.98 | 0.95±0.04 | | UBO-DUCB | 0.64±0.12 | 0.34±0.08 | 35.49±1.23 | 0.95±0.04 |
| CCBS<br>GCBS | 0.3327±0.1647<br>0.3361±0.1680 | 0.3483<br>0.0106 | 21<br>19 | 0.0514<br>0.0518 | | --- | --- | --- | --- | --- | | M=30,µ=0.0345,σ=0.00710 | | | | | | CCBS<br>GCBS | 0.3318±0.1637<br>0.3354±0.1669 | 3.6450<br>0.0132 | 28<br>23 | 0.0331<br>0.0336 |
0
| task,t,t12 | Onetaskofmatrixfactorizations | | --- | --- | | Nproc | Squarerootofthetotalnumberofprocesses | | fl | ThelowestCPUfrequencysetbyDVFS | | fh | ThehighestCPUfrequencysetbyDVFS | | fopt | Optimalidealfrequencytofinishataskwithitsslackeliminated | | ratio | Ratiobetweensplitdurationsforoptimalfrequencyapprox...
| slack | Timethatataskcanbedelayedbywithnooverallperformanceloss | | --- | --- | | CurFreq | CurrentCPUfrequencyinuse | | DoneFlag | Indicatorofthefinishofatask |
1
| task,t,t12 | Onetaskofmatrixfactorizations | | --- | --- | | Nproc | Squarerootofthetotalnumberofprocesses | | fl | ThelowestCPUfrequencysetbyDVFS | | fh | ThehighestCPUfrequencysetbyDVFS | | fopt | Optimalidealfrequencytofinishataskwithitsslackeliminated | | ratio | Ratiobetweensplitdurationsforoptimalfrequencyapprox...
| InputData | Value(Min-Max) | | --- | --- | | Workloadtraceduration(t) | (4-4) | | RangeofCPUvaluesforresources | (4-10) | | RangeofMemoryvaluesforresources | (2-16) | | RangeofNetworkvaluesforresources | (100-1000) | | RangeofCPUvaluesforutilization | (2-10) | | RangeofMemoryvaluesforutilization | (1-16) | | RangeofN...
0
| task,t,t12 | Onetaskofmatrixfactorizations | | --- | --- | | Nproc | Squarerootofthetotalnumberofprocesses |
| fl | ThelowestCPUfrequencysetbyDVFS | | --- | --- | | fh | ThehighestCPUfrequencysetbyDVFS | | fopt | Optimalidealfrequencytofinishataskwithitsslackeliminated | | ratio | Ratiobetweensplitdurationsforoptimalfrequencyapproximation | | TDS(task)in | TDSconsistingoftasksthataredependedbytaskastheinput | | TDS(task)out | ...
1
| task,t,t12 | Onetaskofmatrixfactorizations | | --- | --- | | Nproc | Squarerootofthetotalnumberofprocesses |
| RangeofNetworkvaluesforresources | (100-1000) | | --- | --- | | RangeofCPUvaluesforutilization | (2-10) | | RangeofMemoryvaluesforutilization | (1-16) | | RangeofNetworkvaluesforutilization | (0-1000) | | RangeofrevenuevaluesforexecutingVMs | (0.1-1.5) | | RangeofSLAvaluesofVMs | (0-2) | | RangeofnumberofVMsforclouds...
0
| Model | ByUser | ByDay | InFuture | | --- | --- | --- | --- | | SocialSampling | 0.0391 | 0.0455 | 0.0403 | | PerformanceModel | 0.0782 | 0.0783 | 0.0626 | | AdditiveModel | 0.0402 | 0.0478 | 0.0420 |
| PopularityModel | 0.0400 | 0.0465 | 0.0409 | | --- | --- | --- | --- | | FullRegression | 0.0527 | 0.0569 | 0.0480 | | PerformanceRegression | 0.0782 | 0.0783 | 0.0625 |
1
| Model | ByUser | ByDay | InFuture | | --- | --- | --- | --- | | SocialSampling | 0.0391 | 0.0455 | 0.0403 | | PerformanceModel | 0.0782 | 0.0783 | 0.0626 | | AdditiveModel | 0.0402 | 0.0478 | 0.0420 |
| Model | ByUser | ByDay | InFuture | | --- | --- | --- | --- | | SocialSampling | 1.2924 | 2.1673 | 2.2389 | | PerformanceModel | 3.0727 | 3.0683 | 2.3864 | | AdditiveModel | 1.3194 | 2.1294 | 2.0707 | | PopularityModel | 1.3215 | 2.1768 | 2.1428 | | FullRegression | 2.1291 | 2.6120 | 2.0933 | | PerformanceRegression ...
0
| Model | ByUser | ByDay | InFuture | | --- | --- | --- | --- | | SocialSampling | 0.0391 | 0.0455 | 0.0403 |
| PerformanceModel | 0.0782 | 0.0783 | 0.0626 | | --- | --- | --- | --- | | AdditiveModel | 0.0402 | 0.0478 | 0.0420 | | PopularityModel | 0.0400 | 0.0465 | 0.0409 | | FullRegression | 0.0527 | 0.0569 | 0.0480 | | PerformanceRegression | 0.0782 | 0.0783 | 0.0625 |
1
| Model | ByUser | ByDay | InFuture | | --- | --- | --- | --- | | SocialSampling | 0.0391 | 0.0455 | 0.0403 |
| PerformanceModel | 3.0727 | 3.0683 | 2.3864 | | --- | --- | --- | --- | | AdditiveModel | 1.3194 | 2.1294 | 2.0707 | | PopularityModel | 1.3215 | 2.1768 | 2.1428 | | FullRegression | 2.1291 | 2.6120 | 2.0933 | | PerformanceRegression | 3.0728 | 3.0682 | 2.3858 |
0
| | Rawpredictions | Correctedpredictions | | --- | --- | --- | | a | ...OOOIIII... | ...OOBIIII... |
| b | ...OOOBOOO... | ...OOOBIOO... | | --- | --- | --- | | c | ...OOOBOII... | ...OOOBIII... | | d | ...OOOBIIBII... | ...OOOBIIIII... |
1
| | Rawpredictions | Correctedpredictions | | --- | --- | --- | | a | ...OOOIIII... | ...OOBIIII... |
| name | AB | FDCS | ABCS | FINDER | FMC | | | | --- | --- | --- | --- | --- | --- | --- | --- | | | #bcktr | #bcktr | #Tbcktr | #bcktr | #Tbcktr | #bcktr | #bcktr | | oddeven<br>wickedoe | 4<br>64 | 0<br>0 | 0<br>0 | 0<br>0 | 0<br>0 | 1<br>8 | 3<br>52 | | appendlast<br>reverselast<br>nreverselast<br>schedule | 43<b...
0
| | Rawpredictions | Correctedpredictions | | --- | --- | --- | | a | ...OOOIIII... | ...OOBIIII... | | b | ...OOOBOOO... | ...OOOBIOO... |
| c | ...OOOBOII... | ...OOOBIII... | | --- | --- | --- | | d | ...OOOBIIBII... | ...OOOBIIIII... |
1
| | Rawpredictions | Correctedpredictions | | --- | --- | --- | | a | ...OOOIIII... | ...OOBIIII... | | b | ...OOOBOOO... | ...OOOBIOO... |
| multiseto<br>multisetl | 10<br>3 | 7<br>6 | 0<br>1 | 30<br>21 | 0<br>1 | 0<br>12 | 104<br>469 | | --- | --- | --- | --- | --- | --- | --- | --- | | blockpair2o<br>blockpair3o<br>blockpair2l<br>blockpair3l<br>blocksol | 17<br>56<br>28<br>130<br>3615 | 25<br>25<br>3943<br>4009<br>1396146 | 0<br>0<br>2<br>2<br>385 | 49<...
0
| | UnderSegmentation | Accuracy | MCC | | | | | --- | --- | --- | --- | --- | --- | --- | | Method | Mean | SD | Mean | SD | Mean | SD | | OurMethod | 2.643167 | 2.667397 | 99.01979 | 0.575767 | 0.938438 | 0.033661 |
| 2-ClassCNN | 8.944368 | 9.749133 | 96.76865 | 1.907359 | 0.852528 | 0.047596 | | --- | --- | --- | --- | --- | --- | --- | | U-Net | 2.758809 | 0.343256 | 99.69015 | 0.016499 | 0.977921 | 0.000479 | | LevelSet | 27.792356 | 22.945279 | 96.98377 | 1.231796 | 0.792400 | 0.066891 |
1
| | UnderSegmentation | Accuracy | MCC | | | | | --- | --- | --- | --- | --- | --- | --- | | Method | Mean | SD | Mean | SD | Mean | SD | | OurMethod | 2.643167 | 2.667397 | 99.01979 | 0.575767 | 0.938438 | 0.033661 |
| Method | AVG-<br>AUC | M-<br>AUC | SK-<br>AUC | M-<br>SP82 | M-<br>SP89 | M-<br>SP95 | M-<br>SENS | M-<br>SPEC | SK-<br>SENS | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | [24]TopAVG | 0.911 | 0.868 | 0.953 | 0.729 | 0.588 | 0.366 | 0.735 | 0.851 | 0.978 | | [25]TopSK | 0.910 | 0.856 | 0.965 | 0.72...
0
| | UnderSegmentation | Accuracy | MCC | | | | | --- | --- | --- | --- | --- | --- | --- | | Method | Mean | SD | Mean | SD | Mean | SD | | OurMethod | 2.643167 | 2.667397 | 99.01979 | 0.575767 | 0.938438 | 0.033661 | | 2-ClassCNN | 8.944368 | 9.749133 | 96.76865 | 1.907359 | 0.852528 | 0.047596 |
| U-Net | 2.758809 | 0.343256 | 99.69015 | 0.016499 | 0.977921 | 0.000479 | | --- | --- | --- | --- | --- | --- | --- | | LevelSet | 27.792356 | 22.945279 | 96.98377 | 1.231796 | 0.792400 | 0.066891 |
1
| | UnderSegmentation | Accuracy | MCC | | | | | --- | --- | --- | --- | --- | --- | --- | | Method | Mean | SD | Mean | SD | Mean | SD | | OurMethod | 2.643167 | 2.667397 | 99.01979 | 0.575767 | 0.938438 | 0.033661 | | 2-ClassCNN | 8.944368 | 9.749133 | 96.76865 | 1.907359 | 0.852528 | 0.047596 |
| [25]TopSK | 0.910 | 0.856 | 0.965 | 0.727 | 0.555 | 0.404 | 0.103 | 0.998 | 0.178 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | [26]TopM | 0.908 | 0.874 | 0.943 | 0.747 | 0.590 | 0.395 | 0.547 | 0.950 | 0.356 | | AVGSC | 0.913 | 0.872 | 0.954 | 0.778 | 0.605 | 0.435 | 0.214 | 0.988 | 0.600 | | L-S...
0
| Type | Dim | Type | Dim | | --- | --- | --- | --- | | Centeredmask | 64 | SIFThistogramtop | 100 | | Boundingbox | 2 | SIFThistogramright | 100 |
| Super-pixelarea | 1 | SIFThistogramleft | 100 | | --- | --- | --- | --- | | Absolutemask | 64 | Meancolor | 3 | | Topheight | 1 | Colorstandarddeviation | 3 | | Textonhistogram | 100 | Colorhistogram | 33 | | Dilatedtextonhistogram | 100 | Dilatedcolorhistogram | 33 | | SIFThistogram | 100 | Colorthumbnail | 192 | | ...
1
| Type | Dim | Type | Dim | | --- | --- | --- | --- | | Centeredmask | 64 | SIFThistogramtop | 100 | | Boundingbox | 2 | SIFThistogramright | 100 |
| Dataset | Numberoffeatures | Numberofinstances | Numberofclasses | | --- | --- | --- | --- | | connect-4 | 42 | 67,557 | 3 | | splice | 60 | 3,175 | 3 | | waveform | 40 | 5,000 | 3 | | landsat | 36 | 6,435 | 6 | | lung | 325 | 73 | 7 | | lymph | 4,026 | 96 | 9 | | NCI9 | 9,712 | 60 | 9 |
0
| Type | Dim | Type | Dim | | --- | --- | --- | --- | | Centeredmask | 64 | SIFThistogramtop | 100 | | Boundingbox | 2 | SIFThistogramright | 100 | | Super-pixelarea | 1 | SIFThistogramleft | 100 |
| Absolutemask | 64 | Meancolor | 3 | | --- | --- | --- | --- | | Topheight | 1 | Colorstandarddeviation | 3 | | Textonhistogram | 100 | Colorhistogram | 33 | | Dilatedtextonhistogram | 100 | Dilatedcolorhistogram | 33 | | SIFThistogram | 100 | Colorthumbnail | 192 | | DilatedSIFThistogram | 100 | Maskedcolorthumbnail ...
1
| Type | Dim | Type | Dim | | --- | --- | --- | --- | | Centeredmask | 64 | SIFThistogramtop | 100 | | Boundingbox | 2 | SIFThistogramright | 100 | | Super-pixelarea | 1 | SIFThistogramleft | 100 |
| lung | 325 | 73 | 7 | | --- | --- | --- | --- | | lymph | 4,026 | 96 | 9 | | NCI9 | 9,712 | 60 | 9 |
0
| Dataset | F1 | | | | | --- | --- | --- | --- | --- | | All | removedfeatures | | | | | (1) | (2) | (3) | (4) | (5) |
| DTwitter | 0.796 | 0.784 | 0.751 | 0.796 | 0.767 | - | | --- | --- | --- | --- | --- | --- | --- | | DGoogle+ | 0.898 | 0.889 | 0.887 | 0.898 | 0.889 | - | | DFamily | 0.845 | - | 0.840 | 0.833 | 0.833 | | | DFriend | 0.810 | - | 0.798 | 0.802 | 0.800 | | | DColleague | 0.737 | - | 0.730 | 0.726 | 0.727 | | | Data...
1
| Dataset | F1 | | | | | --- | --- | --- | --- | --- | | All | removedfeatures | | | | | (1) | (2) | (3) | (4) | (5) |
| Dataset | c | DPBook | EM | SVT | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1:1 | 1:3 | 1:k | 1:k | 1:1 | | | | | | BMS-PO | 50 | 0.061 | 0.001 | 0.010 | 0.008 | 0.015 | 0.008 | 0.002 | | 100 | 0.561 | 0.006 | 0.242 | 0.087 | 0.070 | 0.046 | 0.049 | | | 150 | 0.674 | 0.048 | 0.502 | 0...
0
| Dataset | F1 | | | | | | | --- | --- | --- | --- | --- | --- | --- | | All | removedfeatures | | | | | | | (1) | (2) | (3) | (4) | (5) | | | | DTwitter | 0.796 | 0.784 | 0.751 | 0.796 | 0.767 | - | | DGoogle+ | 0.898 | 0.889 | 0.887 | 0.898 | 0.889 | - | | DFamily | 0.845 | - | 0.840 | 0.833 | 0.833 | | ...
| DTwitter | 0.850 | 0.835 | 0.812 | 0.850 | 0.832 | - | | --- | --- | --- | --- | --- | --- | --- | | DGoogle+ | 0.899 | 0.892 | 0.891 | 0.898 | 0.890 | - | | DFamily | 0.879 | - | 0.875 | 0.867 | 0.870 | | | DFriend | 0.844 | - | 0.840 | 0.839 | 0.835 | | | DColleague | 0.752 | - | 0.748 | 0.743 | 0.745 | |
1
| Dataset | F1 | | | | | | | --- | --- | --- | --- | --- | --- | --- | | All | removedfeatures | | | | | | | (1) | (2) | (3) | (4) | (5) | | | | DTwitter | 0.796 | 0.784 | 0.751 | 0.796 | 0.767 | - | | DGoogle+ | 0.898 | 0.889 | 0.887 | 0.898 | 0.889 | - | | DFamily | 0.845 | - | 0.840 | 0.833 | 0.833 | | ...
| 100 | 0.561 | 0.006 | 0.242 | 0.087 | 0.070 | 0.046 | 0.049 | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 150 | 0.674 | 0.048 | 0.502 | 0.339 | 0.243 | 0.209 | 0.184 | | | 200 | 0.691 | 0.093 | 0.632 | 0.571 | 0.518 | 0.481 | 0.302 | | | 250 | 0.658 | 0.123 | 0.645 | 0.596 | 0.574 | 0.554 | 0.312 |...
0
| No.ofbuses | 14-bus | 57-bus | 118-bus | | --- | --- | --- | --- | | No.oflines | 20 | 80 | 186 | | Totalno.ofmeasurements | 20 | 80 | 180 |
| No.ofinjectmeasurements | 8 | 30 | 70 | | --- | --- | --- | --- | | No.offlowmeasurements | 12 | 50 | 110 | | No.ofunmeasuredlines | 1 | 2 | 7 |
1
| No.ofbuses | 14-bus | 57-bus | 118-bus | | --- | --- | --- | --- | | No.oflines | 20 | 80 | 186 | | Totalno.ofmeasurements | 20 | 80 | 180 |
| NumberofVertices | | --- | | 5M | | 41M | | 34M | | 134M | | 101M | | 0.5M | | 1M | | 2M |
0
| No.ofbuses | 14-bus | 57-bus | 118-bus | | --- | --- | --- | --- | | No.oflines | 20 | 80 | 186 | | Totalno.ofmeasurements | 20 | 80 | 180 | | No.ofinjectmeasurements | 8 | 30 | 70 |
| No.offlowmeasurements | 12 | 50 | 110 | | --- | --- | --- | --- | | No.ofunmeasuredlines | 1 | 2 | 7 |
1
| No.ofbuses | 14-bus | 57-bus | 118-bus | | --- | --- | --- | --- | | No.oflines | 20 | 80 | 186 | | Totalno.ofmeasurements | 20 | 80 | 180 | | No.ofinjectmeasurements | 8 | 30 | 70 |
| 34M | | --- | | 134M | | 101M | | 0.5M | | 1M | | 2M |
0
| Configuration | Queryfiltering | Expansion | | --- | --- | --- | | Conf(baseline)1 | Original(q) | - | | Conf2 | Filtered(q)f | - |
| Conf3 | Filtered(q)f | NonPersonalized | | --- | --- | --- | | Conf4 | Filtered(q)f | Personalized | | Conf5 | Original(q) | NonPersonalized | | Conf6 | Original(q) | Personalized |
1
| Configuration | Queryfiltering | Expansion | | --- | --- | --- | | Conf(baseline)1 | Original(q) | - | | Conf2 | Filtered(q)f | - |
| Query | Algebraoperators | | --- | --- | | Cooking,Q2 | ,,,FILTERAPPLY+INNERDJOINREDUCE | | Grouping | ,,APPLY+INNERDJOINREDUCE | | Q1,Q4,Q5 | ,REBOXREDUCE | | Q3 | APPLY+ | | Q6 | ,,REBOXAPPLY+FILTER | | Q7 | REBOX | | Q8,Q9 | ,REBOXSHIFT |
0
| Configuration | Queryfiltering | Expansion | | --- | --- | --- | | Conf(baseline)1 | Original(q) | - | | Conf2 | Filtered(q)f | - | | Conf3 | Filtered(q)f | NonPersonalized |
| Conf4 | Filtered(q)f | Personalized | | --- | --- | --- | | Conf5 | Original(q) | NonPersonalized | | Conf6 | Original(q) | Personalized |
1
| Configuration | Queryfiltering | Expansion | | --- | --- | --- | | Conf(baseline)1 | Original(q) | - | | Conf2 | Filtered(q)f | - | | Conf3 | Filtered(q)f | NonPersonalized |
| Q3 | APPLY+ | | --- | --- | | Q6 | ,,REBOXAPPLY+FILTER | | Q7 | REBOX | | Q8,Q9 | ,REBOXSHIFT |
0
| MedLine | Prec | Rec | F-score | Lx | errorTest | | --- | --- | --- | --- | --- | --- | | (1) | 0.3564 | 0.5450 | 0.4310 | L0 | 0.0305 | | (2) | 0.3806 | 0.5023 | 0.4331 | L1,L2 | 0.0432 | | (3) | 0.3773 | 0.5266 | 0.4395 | L2 | 0.0418 |
| DrugBank | Prec | Rec | F-score | Lx | errorTest | | --- | --- | --- | --- | --- | --- | | (1) | 0.6312 | 0.5372 | 0.5805 | L0 | 0.07900 | | (2) | 0.6438 | 0.6398 | 0.6417 | L0,L2 | 0.0802 | | (3) | 0.6305 | 0.5380 | 0.5806 | L0 | 0.0776 |
1
| MedLine | Prec | Rec | F-score | Lx | errorTest | | --- | --- | --- | --- | --- | --- | | (1) | 0.3564 | 0.5450 | 0.4310 | L0 | 0.0305 | | (2) | 0.3806 | 0.5023 | 0.4331 | L1,L2 | 0.0432 | | (3) | 0.3773 | 0.5266 | 0.4395 | L2 | 0.0418 |
| Lvl | Trial1 | Trial2 | Trial3 | Trial4 | Avg | | --- | --- | --- | --- | --- | --- | | 1 | 32350 | 32350 | 32330 | 32330 | 32340.0 | | 2 | 60820 | 52070 | 60630 | 51530 | 56262.5 | | 3 | 42630 | 42630 | 41820 | 42630 | 42427.5 | | 4 | 28120 | 28120 | 28430 | 28120 | 28197.5 | | 5 | 64330 | 69100 | 63520 | 58070 | 63...
0
| MedLine | Prec | Rec | F-score | Lx | errorTest | | --- | --- | --- | --- | --- | --- | | (1) | 0.3564 | 0.5450 | 0.4310 | L0 | 0.0305 | | (2) | 0.3806 | 0.5023 | 0.4331 | L1,L2 | 0.0432 | | (3) | 0.3773 | 0.5266 | 0.4395 | L2 | 0.0418 | | DrugBank | Prec | Rec | F-score | Lx | errorTest |
| (1) | 0.6312 | 0.5372 | 0.5805 | L0 | 0.07900 | | --- | --- | --- | --- | --- | --- | | (2) | 0.6438 | 0.6398 | 0.6417 | L0,L2 | 0.0802 | | (3) | 0.6305 | 0.5380 | 0.5806 | L0 | 0.0776 |
1
| MedLine | Prec | Rec | F-score | Lx | errorTest | | --- | --- | --- | --- | --- | --- | | (1) | 0.3564 | 0.5450 | 0.4310 | L0 | 0.0305 | | (2) | 0.3806 | 0.5023 | 0.4331 | L1,L2 | 0.0432 | | (3) | 0.3773 | 0.5266 | 0.4395 | L2 | 0.0418 | | DrugBank | Prec | Rec | F-score | Lx | errorTest |
| 7 | 33200 | 22660 | 23300 | 31940 | 27775.0 | | --- | --- | --- | --- | --- | --- | | 8 | 34710 | 47520 | 39120 | 44820 | 41542.5 | | 9 | 24370 | 40010 | 40920 | 41440 | 36685.0 | | tot. | 345000 | 367970 | 356340 | 364390 | 358425 |
0
| +Commonattributes | =30 | ≥27 | ≥24 | ≥21 | ≥18 | ≥15 | ≥1 | ≤5 | Average | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | TAD | | | | | | | | | | | B1K<br>B10K<br>Bagging0.1<br>Bagging0.2<br>Bagging0.3<br>Bagging0.4<br>Bagging0.5<br>Bagging0.6<br>Bagging0.7<br>Bagging0.8<br>Bagging0.9<br>Ba...
| TAK | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | B1K<br>B10K<br>Bagging0.1<br>Bagging0.2<br>Bagging0.3<br>Bagging0.4<br>Bagging0.5<br>Bagging0.6<br>Bagging0.7<br>Bagging0.8<br>Bagging0.9<br>Bagging1 | 6<br>9<br>13<br>10<br>6<br>2<br>2<br>2<br>2<br>2<br>2<br>1 | 12<br>17...
1
| +Commonattributes | =30 | ≥27 | ≥24 | ≥21 | ≥18 | ≥15 | ≥1 | ≤5 | Average | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | TAD | | | | | | | | | | | B1K<br>B10K<br>Bagging0.1<br>Bagging0.2<br>Bagging0.3<br>Bagging0.4<br>Bagging0.5<br>Bagging0.6<br>Bagging0.7<br>Bagging0.8<br>Bagging0.9<br>Ba...
| Depth | Para | C-10 | | --- | --- | --- | | - | | 7.25 | | 110 | 1.7M | 6.61 | | 28 | 36.5M | 4.17 | | 1001 | 10.2M | 4.62 | | 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 | | -<br>- | -<br>11.2M | 7.32<br>6.92 | | 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50...
0
| +Commonattributes | =30 | ≥27 | ≥24 | ≥21 | ≥18 | ≥15 | ≥1 | ≤5 | Average | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | TAD | | | | | | | | | | | B1K<br>B10K<br>Bagging0.1<br>Bagging0.2<br>Bagging0.3<br>Bagging0.4<br>Bagging0.5<br>Bagging0.6<br>Bagging0.7<br>Bagging0.8<br>Bagging0.9<br>Ba...
| TAK | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | B1K<br>B10K<br>Bagging0.1<br>Bagging0.2<br>Bagging0.3<br>Bagging0.4<br>Bagging0.5<br>Bagging0.6<br>Bagging0.7<br>Bagging0.8<br>Bagging0.9<br>Bagging1 | 6<br>9<br>13<br>10<br>6<br>2<br>2<br>2<br>2<br>2<br>2<br>1 | 12<br>17...
1
| +Commonattributes | =30 | ≥27 | ≥24 | ≥21 | ≥18 | ≥15 | ≥1 | ≤5 | Average | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | TAD | | | | | | | | | | | B1K<br>B10K<br>Bagging0.1<br>Bagging0.2<br>Bagging0.3<br>Bagging0.4<br>Bagging0.5<br>Bagging0.6<br>Bagging0.7<br>Bagging0.8<br>Bagging0.9<br>Ba...
| 1001 | 10.2M | 4.62 | | --- | --- | --- | | 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 | | -<br>- | -<br>11.2M | 7.32<br>6.92 | | 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 | | 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<b...
0
| Method | 750 | 3000 | 12000 | 50000 | 200000 | | --- | --- | --- | --- | --- | --- | | DC | (0.1422,1.5259) | (0.1112,0.4187) | (0.0290,0.2091) | (0.0184,0.1071) | (0.0085,0.0361) | | HF | (0.1133,0.3985) | (0.1236,3.0128) | (0.0828,6.2417) | (0.0325,4.7646) | (0.0343,14.158) |
| (d,d)2∞ | | | | | | | --- | --- | --- | --- | --- | --- | | DC | 0.040 | 0.196 | 1.12 | 5.88 | 59.1 | | HF | 1.58 | 4.91 | 19.2 | 80.6 | 339 | | timing(sec) | | | | | |
1
| Method | 750 | 3000 | 12000 | 50000 | 200000 | | --- | --- | --- | --- | --- | --- | | DC | (0.1422,1.5259) | (0.1112,0.4187) | (0.0290,0.2091) | (0.0184,0.1071) | (0.0085,0.0361) | | HF | (0.1133,0.3985) | (0.1236,3.0128) | (0.0828,6.2417) | (0.0325,4.7646) | (0.0343,14.158) |
| Method | 800 | 2500 | 10000 | 40000 | | --- | --- | --- | --- | --- | | DC | (0.7436,2.1873) | (0.3404,1.1705) | (0.1457,0.4359) | (0.0686,0.2651) | | HF | (∞,∞) | (0.4247,4.0458) | (0.1545,1.3129) | (0.0716,2.0045) | | BD | (1.1520,6.5863) | (0.7330,4.9571) | (0.3930,3.9686) | (0.2873,5.2264) | | (d,d)2∞ | | | | ...
0
| Method | 750 | 3000 | 12000 | 50000 | 200000 | | --- | --- | --- | --- | --- | --- | | DC | (0.1422,1.5259) | (0.1112,0.4187) | (0.0290,0.2091) | (0.0184,0.1071) | (0.0085,0.0361) |
| HF | (0.1133,0.3985) | (0.1236,3.0128) | (0.0828,6.2417) | (0.0325,4.7646) | (0.0343,14.158) | | --- | --- | --- | --- | --- | --- | | (d,d)2∞ | | | | | | | DC | 0.040 | 0.196 | 1.12 | 5.88 | 59.1 | | HF | 1.58 | 4.91 | 19.2 | 80.6 | 339 | | timing(sec) | | | | | |
1
| Method | 750 | 3000 | 12000 | 50000 | 200000 | | --- | --- | --- | --- | --- | --- | | DC | (0.1422,1.5259) | (0.1112,0.4187) | (0.0290,0.2091) | (0.0184,0.1071) | (0.0085,0.0361) |
| BD | (1.1520,6.5863) | (0.7330,4.9571) | (0.3930,3.9686) | (0.2873,5.2264) | | --- | --- | --- | --- | --- | | (d,d)2∞ | | | | | | DC | 0.236 | 1.27 | 5.84 | 42.3 | | HF | 0.966 | 2.24 | 8.52 | 37.4 | | BD | 38.0 | 116 | 475 | 1941 | | timing(sec) | | | | |
0
| ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC | | --- | --- | --- | --- | --- | --- | --- | --- | | PMSSumMin | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 | | DMESumMin | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |
| BestDMESumMin | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 | | --- | --- | --- | --- | --- | --- | --- | --- | | PMSSumMinD | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 | | DMESumMinD | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 | | BestDMESumMinD | 0.1020 | 0.96...
1
| ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC | | --- | --- | --- | --- | --- | --- | --- | --- | | PMSSumMin | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 | | DMESumMin | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |
| ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC | | --- | --- | --- | --- | --- | --- | --- | --- | | PMSSumMin | 0.6139 | 0.9227 | 0.6149 | 0.3240 | 0.9988 | 0.2692 | 0.4009 | | DMESumMin | 0.4385 | 0.9354 | 0.5380 | 0.2907 | 0.9986 | 0.2118 | 0.3093 | | BestDMESumMin | 0.4385 | 0.9354 | 0.5380 | 0.2907...
0
| ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC | | --- | --- | --- | --- | --- | --- | --- | --- | | PMSSumMin | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 | | DMESumMin | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 | | BestDMESumMin | 0.1020 | 0.9646 | 0.1383 | 0.238...
| PMSSumMinD500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 | | --- | --- | --- | --- | --- | --- | --- | --- | | DMESumMin500 | 0.0669 | 0.9663 | 0.0851 | 0.1777 | 1.0000 | 0.0511 | 0.0525 |
1
| ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC | | --- | --- | --- | --- | --- | --- | --- | --- | | PMSSumMin | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 | | DMESumMin | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 | | BestDMESumMin | 0.1020 | 0.9646 | 0.1383 | 0.238...
| PMSSumMinD500 | 0.4386 | 0.9408 | 0.4167 | 0.3125 | 1.0000 | 0.2232 | 0.3251 | | --- | --- | --- | --- | --- | --- | --- | --- | | DMESumMin500 | 0.0877 | 0.9440 | 0.0833 | 0.0877 | 1.0000 | 0.0459 | 0.0327 |
0