premise
string | hypothesis
string | label
int64 |
|---|---|---|
| DifficultyTriplets | | | |
| --- | --- | --- | --- |
| (0.0,0.0,0.0) | (0.0,0.5,0.0) | (0.0,0.0,0.75) | (1.0.0,0.0,0.0) |
| (0.0,0.25,0.0) | (0.0,0.0,0.5) | (0.75,0.0,0.0) | (0.25,0.25,0.25) |
|
| (0.0,0.0,0.25) | (0.5,0.0,0.0) | (0.0,1.0,0.0) | (0.5,0.5,0.5) |
| --- | --- | --- | --- |
| (0.25,0.0,0.0) | (0.0,0.75,0.0) | (0.0,0.0,1.0) | (0.75,0.75,0.75) |
| 1
|
| DifficultyTriplets | | | |
| --- | --- | --- | --- |
| (0.0,0.0,0.0) | (0.0,0.5,0.0) | (0.0,0.0,0.75) | (1.0.0,0.0,0.0) |
| (0.0,0.25,0.0) | (0.0,0.0,0.5) | (0.75,0.0,0.0) | (0.25,0.25,0.25) |
|
| 0.414 | 0.245 | 0.033 | 0.018 | 0.012 | 0.032 | 0.043 | 0.064 | 0.075 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0.058 | 0.297 | 0.246 | 0.037 | 0.021 | 0.043 | 0.051 | 0.089 | 0.091 |
| 0.031 | 0.053 | 0.298 | 0.227 | 0.049 | 0.042 | 0.042 | 0.049 | 0.132 |
| 0.031 | 0.041 | 0.089 | 0.345 | 0.182 | 0.057 | 0.037 | 0.039 | 0.116 |
| 0.037 | 0.057 | 0.056 | 0.063 | 0.337 | 0.212 | 0.047 | 0.038 | 0.082 |
| 0.056 | 0.049 | 0.061 | 0.041 | 0.053 | 0.339 | 0.23 | 0.041 | 0.065 |
| 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 |
| 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |
| 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 |
| 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 |
| 0
|
| DifficultyTriplets | | | |
| --- | --- | --- | --- |
| (0.0,0.0,0.0) | (0.0,0.5,0.0) | (0.0,0.0,0.75) | (1.0.0,0.0,0.0) |
| (0.0,0.25,0.0) | (0.0,0.0,0.5) | (0.75,0.0,0.0) | (0.25,0.25,0.25) |
|
| (0.0,0.0,0.25) | (0.5,0.0,0.0) | (0.0,1.0,0.0) | (0.5,0.5,0.5) |
| --- | --- | --- | --- |
| (0.25,0.0,0.0) | (0.0,0.75,0.0) | (0.0,0.0,1.0) | (0.75,0.75,0.75) |
| 1
|
| DifficultyTriplets | | | |
| --- | --- | --- | --- |
| (0.0,0.0,0.0) | (0.0,0.5,0.0) | (0.0,0.0,0.75) | (1.0.0,0.0,0.0) |
| (0.0,0.25,0.0) | (0.0,0.0,0.5) | (0.75,0.0,0.0) | (0.25,0.25,0.25) |
|
| 0.031 | 0.053 | 0.298 | 0.227 | 0.049 | 0.042 | 0.042 | 0.049 | 0.132 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0.031 | 0.041 | 0.089 | 0.345 | 0.182 | 0.057 | 0.037 | 0.039 | 0.116 |
| 0.037 | 0.057 | 0.056 | 0.063 | 0.337 | 0.212 | 0.047 | 0.038 | 0.082 |
| 0.056 | 0.049 | 0.061 | 0.041 | 0.053 | 0.339 | 0.23 | 0.041 | 0.065 |
| 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 |
| 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |
| 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 |
| 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 |
| 0
|
| | Chinese | English |
| --- | --- | --- |
| Sentences | 13M | |
|
| Runningwords | 255M | 279M |
| --- | --- | --- |
| Vocabulary | 370K | 833K |
| Tunesentences | 1844(NN),985(MERT) | |
| Testsentences | 1124 | |
| 1
|
| | Chinese | English |
| --- | --- | --- |
| Sentences | 13M | |
|
| | Arabic | English |
| --- | --- | --- |
| Sentences | 8M | |
| Runningwords | 189M | 186M |
| Vocabulary | 608K | 519K |
| Tunesentences | 1510(NN),1080(MERT) | |
| Testsentences | 1137 | |
| 0
|
| | Chinese | English |
| --- | --- | --- |
| Sentences | 13M | |
| Runningwords | 255M | 279M |
|
| Vocabulary | 370K | 833K |
| --- | --- | --- |
| Tunesentences | 1844(NN),985(MERT) | |
| Testsentences | 1124 | |
| 1
|
| | Chinese | English |
| --- | --- | --- |
| Sentences | 13M | |
| Runningwords | 255M | 279M |
|
| Runningwords | 189M | 186M |
| --- | --- | --- |
| Vocabulary | 608K | 519K |
| Tunesentences | 1510(NN),1080(MERT) | |
| Testsentences | 1137 | |
| 0
|
| EntityTypes | TrainingSet | TestSet |
| --- | --- | --- |
| Location | 6,245 | 1,379 |
| Organization | 1,213 | 274 |
| Person | 7,480 | 1,294 |
|
| Miscellaneousnames | 282 | 49 |
| --- | --- | --- |
| All | 15,222 | 2,996 |
| 1
|
| EntityTypes | TrainingSet | TestSet |
| --- | --- | --- |
| Location | 6,245 | 1,379 |
| Organization | 1,213 | 274 |
| Person | 7,480 | 1,294 |
|
| EntityTypes | TrainingSet | TestSet |
| --- | --- | --- |
| Location | 6,247 | 1,379 |
| Organization | 1,213 | 274 |
| Person | 7,480 | 1,294 |
| Miscellaneousnames | 282 | 49 |
| All | 15,222 | 2,996 |
| 0
|
| EntityTypes | TrainingSet | TestSet |
| --- | --- | --- |
| Location | 6,245 | 1,379 |
|
| Organization | 1,213 | 274 |
| --- | --- | --- |
| Person | 7,480 | 1,294 |
| Miscellaneousnames | 282 | 49 |
| All | 15,222 | 2,996 |
| 1
|
| EntityTypes | TrainingSet | TestSet |
| --- | --- | --- |
| Location | 6,245 | 1,379 |
|
| Organization | 1,213 | 274 |
| --- | --- | --- |
| Person | 7,480 | 1,294 |
| Miscellaneousnames | 282 | 49 |
| All | 15,222 | 2,996 |
| 0
|
| Encoding | Conceptlabel |
| --- | --- |
| 00000000000000 | Thing |
| 00010000000000 | Schedule |
| 00100000000000 | Organization |
| 00110000000000 | Publication |
|
| 01000000000000 | Person |
| --- | --- |
| 01000100000000 | TeachingAssistant |
| 01001000000000 | Student |
| ... | |
| 01001110010011 | AssociateProfessor |
| ... | |
| 01010000000000 | Work |
| 1
|
| Encoding | Conceptlabel |
| --- | --- |
| 00000000000000 | Thing |
| 00010000000000 | Schedule |
| 00100000000000 | Organization |
| 00110000000000 | Publication |
|
| RepresentationType | T=50 | T=100 | T=500 |
| --- | --- | --- | --- |
| Abstract | 0.722 | 0.829 | 0.928 |
| Keywords | 0.081 | 0.117 | 0.152 |
| Concept1 | 0.766 | 0.893 | 0.970 |
| Concept2 | 0.295 | 0.398 | 0.579 |
| 0
|
| Encoding | Conceptlabel |
| --- | --- |
| 00000000000000 | Thing |
|
| 00010000000000 | Schedule |
| --- | --- |
| 00100000000000 | Organization |
| 00110000000000 | Publication |
| 01000000000000 | Person |
| 01000100000000 | TeachingAssistant |
| 01001000000000 | Student |
| ... | |
| 01001110010011 | AssociateProfessor |
| ... | |
| 01010000000000 | Work |
| 1
|
| Encoding | Conceptlabel |
| --- | --- |
| 00000000000000 | Thing |
|
| Concept1 | 0.766 | 0.893 | 0.970 |
| --- | --- | --- | --- |
| Concept2 | 0.295 | 0.398 | 0.579 |
| 0
|
| Layer | NumberofUnits | InputtoUnit | Num.Parameters |
| --- | --- | --- | --- |
| Conv1 | 64x30x30 | 3×7×7 | 9K |
| Conv2 | 128x13x13 | 64×5×5 | 204K |
| Conv3 | 256x11x11 | 128×3×3 | 294K |
| ReLU1 | 256 | 30976 | 7M |
|
| ReLU2 | 256 | 256 | 65K |
| --- | --- | --- | --- |
| Softmax | 136 | 256 | 34K |
| StateUpdate. | 1360 | 136 | 184K |
| ReLU3 | 256 | 1360+256 | 413K |
| ReLU4 | 256 | 256 | 65K |
| LU | 10 | 256 | 2K |
| 1
|
| Layer | NumberofUnits | InputtoUnit | Num.Parameters |
| --- | --- | --- | --- |
| Conv1 | 64x30x30 | 3×7×7 | 9K |
| Conv2 | 128x13x13 | 64×5×5 | 204K |
| Conv3 | 256x11x11 | 128×3×3 | 294K |
| ReLU1 | 256 | 30976 | 7M |
|
| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |
| --- | --- | --- | --- | --- | --- | --- |
| Conv1 | 240*240 | 3*3 | 1 | 32 | ReLU | 240*240*32 |
| Conv2 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |
| Conv3 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |
| Conv4 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |
| Conv5 | 240*240*32 | 3*3 | 1 | 1 | Linear | 240*240 |
| DataFidelity | 240*240 | N/A | N/A | N/A | N/A | 240*240 |
| 0
|
| Layer | NumberofUnits | InputtoUnit | Num.Parameters |
| --- | --- | --- | --- |
| Conv1 | 64x30x30 | 3×7×7 | 9K |
| Conv2 | 128x13x13 | 64×5×5 | 204K |
| Conv3 | 256x11x11 | 128×3×3 | 294K |
| ReLU1 | 256 | 30976 | 7M |
|
| ReLU2 | 256 | 256 | 65K |
| --- | --- | --- | --- |
| Softmax | 136 | 256 | 34K |
| StateUpdate. | 1360 | 136 | 184K |
| ReLU3 | 256 | 1360+256 | 413K |
| ReLU4 | 256 | 256 | 65K |
| LU | 10 | 256 | 2K |
| 1
|
| Layer | NumberofUnits | InputtoUnit | Num.Parameters |
| --- | --- | --- | --- |
| Conv1 | 64x30x30 | 3×7×7 | 9K |
| Conv2 | 128x13x13 | 64×5×5 | 204K |
| Conv3 | 256x11x11 | 128×3×3 | 294K |
| ReLU1 | 256 | 30976 | 7M |
|
| Conv2 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |
| --- | --- | --- | --- | --- | --- | --- |
| Conv3 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |
| Conv4 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |
| Conv5 | 240*240*32 | 3*3 | 1 | 1 | Linear | 240*240 |
| DataFidelity | 240*240 | N/A | N/A | N/A | N/A | 240*240 |
| 0
|
| Model | UCF-101 | HMDB-51 |
| --- | --- | --- |
| Two-Stream | 88.0 | 59.4 |
| IDT | 86.4 | 61.7 |
| DynamicImageNetworks+IDT | 89.1 | 65.2 |
| TDD+IDT | 91.5 | 65.9 |
|
| Two-StreamFusion+IDT | 93.5 | 69.2 |
| --- | --- | --- |
| TemporalSegmentNetworks | 94.2 | 69.4 |
| ST-ResNet+IDT | 94.6 | 70.3 |
| DeepNetworks,Sports1Mpre-training | 65.2 | - |
| C3Donenetwork,Sports1Mpre-training | 82.3 | - |
| C3Densemble,Sports1Mpre-training | 85.2 | - |
| C3Densemble+IDT,Sports1Mpre-training | 90.1 | - |
| RGB-I3D,Imagenet+Kineticspre-training | 95.6 | 74.8 |
| Flow-I3D,Imagenet+Kineticspre-training | 96.7 | 77.1 |
| Two-StreamI3D,Imagenet+Kineticspre-training | 98.0 | 80.7 |
| RGB-I3D,Kineticspre-training | 95.1 | 74.3 |
| Flow-I3D,Kineticspre-training | 96.5 | 77.3 |
| Two-StreamI3D,Kineticspre-training | 97.8 | 80.9 |
| 1
|
| Model | UCF-101 | HMDB-51 |
| --- | --- | --- |
| Two-Stream | 88.0 | 59.4 |
| IDT | 86.4 | 61.7 |
| DynamicImageNetworks+IDT | 89.1 | 65.2 |
| TDD+IDT | 91.5 | 65.9 |
|
| Architecture | UCF-101 | HMDB-51 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| RGB | Flow | RGB+Flow | RGB | Flow | RGB+Flow | RGB | Flow | |
| (a)LSTM | 81.0 | – | – | 36.0 | – | – | 63.3 | – |
| (b)3D-ConvNet | 51.6 | – | – | 24.3 | – | – | 56.1 | – |
| (c)Two-Stream | 83.6 | 85.6 | 91.2 | 43.2 | 56.3 | 58.3 | 62.2 | 52.4 |
| (d)3D-Fused | 83.2 | 85.8 | 89.3 | 49.2 | 55.5 | 56.8 | – | – |
| (e)Two-StreamI3D | 84.5 | 90.6 | 93.4 | 49.8 | 61.9 | 66.4 | 71.1 | 63.4 |
| 0
|
| Model | UCF-101 | HMDB-51 |
| --- | --- | --- |
| Two-Stream | 88.0 | 59.4 |
| IDT | 86.4 | 61.7 |
| DynamicImageNetworks+IDT | 89.1 | 65.2 |
| TDD+IDT | 91.5 | 65.9 |
| Two-StreamFusion+IDT | 93.5 | 69.2 |
|
| TemporalSegmentNetworks | 94.2 | 69.4 |
| --- | --- | --- |
| ST-ResNet+IDT | 94.6 | 70.3 |
| DeepNetworks,Sports1Mpre-training | 65.2 | - |
| C3Donenetwork,Sports1Mpre-training | 82.3 | - |
| C3Densemble,Sports1Mpre-training | 85.2 | - |
| C3Densemble+IDT,Sports1Mpre-training | 90.1 | - |
| RGB-I3D,Imagenet+Kineticspre-training | 95.6 | 74.8 |
| Flow-I3D,Imagenet+Kineticspre-training | 96.7 | 77.1 |
| Two-StreamI3D,Imagenet+Kineticspre-training | 98.0 | 80.7 |
| RGB-I3D,Kineticspre-training | 95.1 | 74.3 |
| Flow-I3D,Kineticspre-training | 96.5 | 77.3 |
| Two-StreamI3D,Kineticspre-training | 97.8 | 80.9 |
| 1
|
| Model | UCF-101 | HMDB-51 |
| --- | --- | --- |
| Two-Stream | 88.0 | 59.4 |
| IDT | 86.4 | 61.7 |
| DynamicImageNetworks+IDT | 89.1 | 65.2 |
| TDD+IDT | 91.5 | 65.9 |
| Two-StreamFusion+IDT | 93.5 | 69.2 |
|
| (a)LSTM | 81.0 | – | – | 36.0 | – | – | 63.3 | – |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| (b)3D-ConvNet | 51.6 | – | – | 24.3 | – | – | 56.1 | – |
| (c)Two-Stream | 83.6 | 85.6 | 91.2 | 43.2 | 56.3 | 58.3 | 62.2 | 52.4 |
| (d)3D-Fused | 83.2 | 85.8 | 89.3 | 49.2 | 55.5 | 56.8 | – | – |
| (e)Two-StreamI3D | 84.5 | 90.6 | 93.4 | 49.8 | 61.9 | 66.4 | 71.1 | 63.4 |
| 0
|
| 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 | 3.0728 | 3.0682 | 2.3858 |
| 1
|
| Model | ByUser | ByDay | InFuture |
| --- | --- | --- | --- |
| SocialSampling | 1.2924 | 2.1673 | 2.2389 |
|
| 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 |
| 0
|
| 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 | 3.0728 | 3.0682 | 2.3858 |
| 1
|
| 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 |
|
| 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 |
| 0
|
| Databases | Referenceimagenumber | Distortedimagenumber | distortiontypes |
| --- | --- | --- | --- |
| LIVEChallenge | N.A. | 1,162 | Numerous |
|
| LIVEIQA | 29 | 779 | 5 |
| --- | --- | --- | --- |
| CSIQ | 30 | 866 | 6 |
| TID2013 | 25 | 3,000 | 24 |
| 1
|
| Databases | Referenceimagenumber | Distortedimagenumber | distortiontypes |
| --- | --- | --- | --- |
| LIVEChallenge | N.A. | 1,162 | Numerous |
|
| 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
|
| Databases | Referenceimagenumber | Distortedimagenumber | distortiontypes |
| --- | --- | --- | --- |
| LIVEChallenge | N.A. | 1,162 | Numerous |
| LIVEIQA | 29 | 779 | 5 |
|
| CSIQ | 30 | 866 | 6 |
| --- | --- | --- | --- |
| TID2013 | 25 | 3,000 | 24 |
| 1
|
| Databases | Referenceimagenumber | Distortedimagenumber | distortiontypes |
| --- | --- | --- | --- |
| LIVEChallenge | N.A. | 1,162 | Numerous |
| LIVEIQA | 29 | 779 | 5 |
|
| 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
|
| cluster | description |
| --- | --- |
| C1 | rightfielder,rightwing,rightback |
| C2 | centralforward |
| C3 | centralmidfielder,internalmidfielder |
|
| C4 | leftfielder,leftwing,leftback |
| --- | --- |
| C5 | leftback,leftcentralback |
| C6 | rightwing,rightforward |
| C7 | rightback |
| C8 | leftwing,leftforward |
| 1
|
| cluster | description |
| --- | --- |
| C1 | rightfielder,rightwing,rightback |
| C2 | centralforward |
| C3 | centralmidfielder,internalmidfielder |
|
| Word | Cluster |
| --- | --- |
| w,w,w,w43105 | C1 |
| w9 | C2 |
| w,w,w162 | C3 |
| w,w87 | C4 |
| 0
|
| cluster | description |
| --- | --- |
| C1 | rightfielder,rightwing,rightback |
|
| C2 | centralforward |
| --- | --- |
| C3 | centralmidfielder,internalmidfielder |
| C4 | leftfielder,leftwing,leftback |
| C5 | leftback,leftcentralback |
| C6 | rightwing,rightforward |
| C7 | rightback |
| C8 | leftwing,leftforward |
| 1
|
| cluster | description |
| --- | --- |
| C1 | rightfielder,rightwing,rightback |
|
| w,w,w162 | C3 |
| --- | --- |
| w,w87 | C4 |
| 0
|
| Length | Model | BLEU | Time(s) |
| --- | --- | --- | --- |
| 20 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 99.93<br>99.52<br>99.56<br>99.56<br>99.57<br>99.75<br>99.98 | 2.03<br>2.12<br>2.25<br>2.21<br>2.59<br>2.86<br>2.86 |
| 50 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 97.37<br>98.86<br>99.95<br>99.96<br>99.96<br>99.97<br>99.94 | 3.90<br>4.33<br>4.48<br>4.58<br>5.35<br>5.84<br>6.46 |
|
| 100 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 73.99<br>87.42<br>99.81<br>99.97<br>99.99<br>100.00<br>100.00 | 6.33<br>7.32<br>7.47<br>7.50<br>7.65<br>7.77<br>11.00 |
| --- | --- | --- | --- |
| 200 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 32.64<br>44.22<br>98.54<br>99.98<br>100.00<br>100.00<br>100.00 | 9.10<br>9.30<br>9.49<br>9.53<br>9.59<br>9.78<br>14.28 |
| 1
|
| Length | Model | BLEU | Time(s) |
| --- | --- | --- | --- |
| 20 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 99.93<br>99.52<br>99.56<br>99.56<br>99.57<br>99.75<br>99.98 | 2.03<br>2.12<br>2.25<br>2.21<br>2.59<br>2.86<br>2.86 |
| 50 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 97.37<br>98.86<br>99.95<br>99.96<br>99.96<br>99.97<br>99.94 | 3.90<br>4.33<br>4.48<br>4.58<br>5.35<br>5.84<br>6.46 |
|
| CountOnce | MultiCount | |
| --- | --- | --- |
| TimetoRecall | FP-90FP-95FP-99 | FP-90FP-95FP-99 |
| 30 | 1.73T1.36T0.44T<br>1.36T0.9T0.23T<br>1.08T0.65T0.15T<br>0.88T0.5T0.11T<br>0.72T0.4T0.08T<br>0.62T0.34T0.07T | 10T5T0.99T<br>4.69T2.34T0.46T<br>3.06T1.52T0.3T<br>2.31T1.15T0.23T<br>1.89T0.94T0.18T<br>1.43T0.71T0.14T |
| 60 | | |
| 90 | | |
| 120 | | |
| 150 | | |
| 180 | | |
| 0
|
| Length | Model | BLEU | Time(s) |
| --- | --- | --- | --- |
| 20 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 99.93<br>99.52<br>99.56<br>99.56<br>99.57<br>99.75<br>99.98 | 2.03<br>2.12<br>2.25<br>2.21<br>2.59<br>2.86<br>2.86 |
| 50 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 97.37<br>98.86<br>99.95<br>99.96<br>99.96<br>99.97<br>99.94 | 3.90<br>4.33<br>4.48<br>4.58<br>5.35<br>5.84<br>6.46 |
|
| 100 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 73.99<br>87.42<br>99.81<br>99.97<br>99.99<br>100.00<br>100.00 | 6.33<br>7.32<br>7.47<br>7.50<br>7.65<br>7.77<br>11.00 |
| --- | --- | --- | --- |
| 200 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 32.64<br>44.22<br>98.54<br>99.98<br>100.00<br>100.00<br>100.00 | 9.10<br>9.30<br>9.49<br>9.53<br>9.59<br>9.78<br>14.28 |
| 1
|
| Length | Model | BLEU | Time(s) |
| --- | --- | --- | --- |
| 20 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 99.93<br>99.52<br>99.56<br>99.56<br>99.57<br>99.75<br>99.98 | 2.03<br>2.12<br>2.25<br>2.21<br>2.59<br>2.86<br>2.86 |
| 50 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 97.37<br>98.86<br>99.95<br>99.96<br>99.96<br>99.97<br>99.94 | 3.90<br>4.33<br>4.48<br>4.58<br>5.35<br>5.84<br>6.46 |
|
| 150 |
| --- |
| 180 |
| 0
|
| CIFAR10 | MNIST | NUS-WIDE |
| --- | --- | --- |
| | | |
| 0.8010.8130.8120.814 | 0.9750.9820.9820.982 | 0.7070.7250.7310.735 |
| 0.7210.7330.7260.747 | 0.9510.9530.9550.966 | 0.6400.6500.6550.635 |
| 0.6000.6960.6890.702 | 0.9310.9490.9580.959 | 0.5970.6270.6470.651 |
|
| 0.4960.5800.5820.583 | 0.9250.9550.9640.965 | 0.5360.5220.5330.531 |
| --- | --- | --- |
| 0.3630.5280.5290.542 | 0.5420.9380.9430.944 | 0.5200.5070.5910.610 |
| 0.2680.2820.2990.318 | 0.4930.5170.5260.559 | 0.5820.5940.6120.607 |
| 0.2190.2280.2390.247 | 0.4070.4780.4870.506 | 0.5820.5810.5830.588 |
| 0.1690.1610.1610.159 | 0.3010.3040.2960.287 | 0.4860.4620.4550.448 |
| 0.1320.1240.1440.157 | 0.1760.1910.2200.305 | 0.4320.4510.4640.466 |
| 0.2550.3300.3440.360 | 0.5260.9150.9210.926 | 0.4140.4650.4510.454 |
| 0.2090.2270.2370.244 | 0.4550.4940.5130.526 | 0.4150.4200.4310.440 |
| 0.1580.1630.1680.169 | 0.4040.4420.4470.460 | 0.4280.4290.4300.431 |
| 0.1240.1250.1250.126 | 0.2900.2780.2600.254 | 0.3900.3910.3890.390 |
| 0.1160.1210.1240.131 | 0.1620.2360.2220.276 | 0.4040.3840.3940.400 |
| 1
|
| CIFAR10 | MNIST | NUS-WIDE |
| --- | --- | --- |
| | | |
| 0.8010.8130.8120.814 | 0.9750.9820.9820.982 | 0.7070.7250.7310.735 |
| 0.7210.7330.7260.747 | 0.9510.9530.9550.966 | 0.6400.6500.6550.635 |
| 0.6000.6960.6890.702 | 0.9310.9490.9580.959 | 0.5970.6270.6470.651 |
|
| N | fnorm1 | f | ftwo | fone |
| --- | --- | --- | --- | --- |
| 3 | 0.8275 | 0.8199 | 0.5808 | 0.4444 |
| 4 | 0.8235 | 0.8139 | 0.5541 | 0.4219 |
| 5 | 0.8214 | 0.8104 | 0.5391 | 0.4096 |
| 10 | 0.8175 | 0.8038 | 0.5116 | 0.3874 |
| 15 | 0.8163 | 0.8017 | 0.5030 | 0.3806 |
| 20 | 0.8157 | 0.8007 | 0.4988 | 0.3774 |
| 0
|
| CIFAR10 | MNIST | NUS-WIDE |
| --- | --- | --- |
| | | |
| 0.8010.8130.8120.814 | 0.9750.9820.9820.982 | 0.7070.7250.7310.735 |
| 0.7210.7330.7260.747 | 0.9510.9530.9550.966 | 0.6400.6500.6550.635 |
| 0.6000.6960.6890.702 | 0.9310.9490.9580.959 | 0.5970.6270.6470.651 |
| 0.4960.5800.5820.583 | 0.9250.9550.9640.965 | 0.5360.5220.5330.531 |
| 0.3630.5280.5290.542 | 0.5420.9380.9430.944 | 0.5200.5070.5910.610 |
|
| 0.2680.2820.2990.318 | 0.4930.5170.5260.559 | 0.5820.5940.6120.607 |
| --- | --- | --- |
| 0.2190.2280.2390.247 | 0.4070.4780.4870.506 | 0.5820.5810.5830.588 |
| 0.1690.1610.1610.159 | 0.3010.3040.2960.287 | 0.4860.4620.4550.448 |
| 0.1320.1240.1440.157 | 0.1760.1910.2200.305 | 0.4320.4510.4640.466 |
| 0.2550.3300.3440.360 | 0.5260.9150.9210.926 | 0.4140.4650.4510.454 |
| 0.2090.2270.2370.244 | 0.4550.4940.5130.526 | 0.4150.4200.4310.440 |
| 0.1580.1630.1680.169 | 0.4040.4420.4470.460 | 0.4280.4290.4300.431 |
| 0.1240.1250.1250.126 | 0.2900.2780.2600.254 | 0.3900.3910.3890.390 |
| 0.1160.1210.1240.131 | 0.1620.2360.2220.276 | 0.4040.3840.3940.400 |
| 1
|
| CIFAR10 | MNIST | NUS-WIDE |
| --- | --- | --- |
| | | |
| 0.8010.8130.8120.814 | 0.9750.9820.9820.982 | 0.7070.7250.7310.735 |
| 0.7210.7330.7260.747 | 0.9510.9530.9550.966 | 0.6400.6500.6550.635 |
| 0.6000.6960.6890.702 | 0.9310.9490.9580.959 | 0.5970.6270.6470.651 |
| 0.4960.5800.5820.583 | 0.9250.9550.9640.965 | 0.5360.5220.5330.531 |
| 0.3630.5280.5290.542 | 0.5420.9380.9430.944 | 0.5200.5070.5910.610 |
|
| 15 | 0.8163 | 0.8017 | 0.5030 | 0.3806 |
| --- | --- | --- | --- | --- |
| 20 | 0.8157 | 0.8007 | 0.4988 | 0.3774 |
| 0
|
| Command | Executiontime | Remarks |
| --- | --- | --- |
| gping | 6secs | |
| gsub | 42secs | |
| gsub-p | 26secs | |
|
| gsub-s | 5secs | |
| --- | --- | --- |
| qsub-unm | 11secs | |
| gsub-data | 17secs | including<br>looking<br>atthecatalog |
| 1
|
| Command | Executiontime | Remarks |
| --- | --- | --- |
| gping | 6secs | |
| gsub | 42secs | |
| gsub-p | 26secs | |
|
| Num.of<br>processes | Launch<br>time(s) |
| --- | --- |
| 1K | 0.3-7.5 |
| 2K | 0.8-10.5 |
| 4K | 3.2-86.7 |
| 8K | 29.2-87.9 |
| 16K | 99.3-120.8 |
| 16K(*) | 15.2-21.6 |
| 0
|
| Command | Executiontime | Remarks |
| --- | --- | --- |
| gping | 6secs | |
| gsub | 42secs | |
|
| gsub-p | 26secs | |
| --- | --- | --- |
| gsub-s | 5secs | |
| qsub-unm | 11secs | |
| gsub-data | 17secs | including<br>looking<br>atthecatalog |
| 1
|
| Command | Executiontime | Remarks |
| --- | --- | --- |
| gping | 6secs | |
| gsub | 42secs | |
|
| 2K | 0.8-10.5 |
| --- | --- |
| 4K | 3.2-86.7 |
| 8K | 29.2-87.9 |
| 16K | 99.3-120.8 |
| 16K(*) | 15.2-21.6 |
| 0
|
| PNMM | | | | |
| --- | --- | --- | --- | --- |
| | 5endmembers | 8endmembers | | |
| Alg.(N)b | RMSE | RET(BS+HU) | RMSE | RET(BS+HU) |
| FCLS | 0.1893 | 1 | 0.1243 | 1 |
| SK-Hype | 0.1136 | 2690.6 | 0.0762 | 3028.8 |
| SK-Hype(10) | 0.1114 | 16.0(18.1) | 0.0775 | 16.8(18.7) |
| SK-Hype(100) | 0.1150 | 107.7(129.1) | 0.0766 | 118.6(144.8) |
|
| SK-Hype(300) | 0.1139 | 1226.7(1327.1) | 0.0763 | 1331.5(1452.7) |
| --- | --- | --- | --- | --- |
| | GBM | | | |
| FCLS | 0.2419 | 1 | 0.1836 | 1 |
| SK-Hype | 0.1080 | 3320.7 | 0.0738 | 3072.6 |
| SK-Hype(10) | 0.1037 | 24.1(26.9) | 0.0712 | 18.7(21.1) |
| SK-Hype(100) | 0.1095 | 157.0(194.6) | 0.0741 | 119.7(148.1) |
| SK-Hype(300) | 0.1083 | 1548.6(1676.0) | 0.0738 | 1475.2(1597.7) |
| 1
|
| PNMM | | | | |
| --- | --- | --- | --- | --- |
| | 5endmembers | 8endmembers | | |
| Alg.(N)b | RMSE | RET(BS+HU) | RMSE | RET(BS+HU) |
| FCLS | 0.1893 | 1 | 0.1243 | 1 |
| SK-Hype | 0.1136 | 2690.6 | 0.0762 | 3028.8 |
| SK-Hype(10) | 0.1114 | 16.0(18.1) | 0.0775 | 16.8(18.7) |
| SK-Hype(100) | 0.1150 | 107.7(129.1) | 0.0766 | 118.6(144.8) |
|
| PNMM | | | | |
| --- | --- | --- | --- | --- |
| 5Endmembers | 8Endmembers | | | |
| Alg.(N)b | RMSE | RET(BS+HU) | RMSE | RET(BS+HU) |
| FCLS | 0.1966 | 1 | 0.1521 | 1 |
| SK-Hype | 0.1127 | 3744.9 | 0.0765 | 3672.2 |
| SK-Hype(10) | 0.1131 | 21.7(24.3) | 0.0827 | 21.5(24.4) |
| SK-Hype(100) | 0.1140 | 153.4(184.2) | 0.0771 | 140.3(170.8) |
| SK-Hype(300) | 0.1129 | 1764.3(1907.5) | 0.0765 | 1601.0(1743.7) |
| | GBM | | | |
| | 5Endmembers | 8Endmembers | | |
| FCLS | 0.0527 | 1 | 0.0390 | 1 |
| SK-Hype | 0.1090 | 3432.5 | 0.0745 | 3825.1 |
| SK-Hype(10) | 0.1053 | 20.8(23.6) | 0.0730 | 20.9(23.0) |
| SK-Hype(100) | 0.1105 | 142.2(171.5) | 0.0748 | 142.9(173.8) |
| SK-Hype(300) | 0.1093 | 1612.8(1735.2) | 0.0745 | 1637.8(1778.1) |
| 0
|
| PNMM | | | | |
| --- | --- | --- | --- | --- |
| | 5endmembers | 8endmembers | | |
| Alg.(N)b | RMSE | RET(BS+HU) | RMSE | RET(BS+HU) |
| FCLS | 0.1893 | 1 | 0.1243 | 1 |
| SK-Hype | 0.1136 | 2690.6 | 0.0762 | 3028.8 |
| SK-Hype(10) | 0.1114 | 16.0(18.1) | 0.0775 | 16.8(18.7) |
| SK-Hype(100) | 0.1150 | 107.7(129.1) | 0.0766 | 118.6(144.8) |
| SK-Hype(300) | 0.1139 | 1226.7(1327.1) | 0.0763 | 1331.5(1452.7) |
|
| | GBM | | | |
| --- | --- | --- | --- | --- |
| FCLS | 0.2419 | 1 | 0.1836 | 1 |
| SK-Hype | 0.1080 | 3320.7 | 0.0738 | 3072.6 |
| SK-Hype(10) | 0.1037 | 24.1(26.9) | 0.0712 | 18.7(21.1) |
| SK-Hype(100) | 0.1095 | 157.0(194.6) | 0.0741 | 119.7(148.1) |
| SK-Hype(300) | 0.1083 | 1548.6(1676.0) | 0.0738 | 1475.2(1597.7) |
| 1
|
| PNMM | | | | |
| --- | --- | --- | --- | --- |
| | 5endmembers | 8endmembers | | |
| Alg.(N)b | RMSE | RET(BS+HU) | RMSE | RET(BS+HU) |
| FCLS | 0.1893 | 1 | 0.1243 | 1 |
| SK-Hype | 0.1136 | 2690.6 | 0.0762 | 3028.8 |
| SK-Hype(10) | 0.1114 | 16.0(18.1) | 0.0775 | 16.8(18.7) |
| SK-Hype(100) | 0.1150 | 107.7(129.1) | 0.0766 | 118.6(144.8) |
| SK-Hype(300) | 0.1139 | 1226.7(1327.1) | 0.0763 | 1331.5(1452.7) |
|
| SK-Hype(100) | 0.1105 | 142.2(171.5) | 0.0748 | 142.9(173.8) |
| --- | --- | --- | --- | --- |
| SK-Hype(300) | 0.1093 | 1612.8(1735.2) | 0.0745 | 1637.8(1778.1) |
| 0
|
| Method | Downtown | Parkway | | |
| --- | --- | --- | --- | --- |
| MAE | ARA | MAE | ARA | |
| Baseline1 | 5.91 | 0.5104 | 5.19 | 0.5248 |
| Baseline2 | 3.55 | 0.6613 | 3.64 | 0.6741 |
|
| OPT-RC | 4.56 | 0.6102 | 4.24 | 0.6281 |
| --- | --- | --- | --- | --- |
| FCN-MT | 2.74 | 0.7175 | 2.52 | 0.784 |
| 1
|
| Method | Downtown | Parkway | | |
| --- | --- | --- | --- | --- |
| MAE | ARA | MAE | ARA | |
| Baseline1 | 5.91 | 0.5104 | 5.19 | 0.5248 |
| Baseline2 | 3.55 | 0.6613 | 3.64 | 0.6741 |
|
| Method | MAE | ARA |
| --- | --- | --- |
| Baseline1 | 13.76 | 0.6412 |
| Baseline2-CCNN | 12.49 | 0.6743 |
| Baseline2-Hydra | 10.99 | 0.7129 |
| OPT-RC | 12.41 | 0.6674 |
| FCN-ST | 5.47 | 0.827 |
| FCN-MT | 5.31 | 0.856 |
| 0
|
| Method | Downtown | Parkway | |
| --- | --- | --- | --- |
| MAE | ARA | MAE | ARA |
|
| Baseline1 | 5.91 | 0.5104 | 5.19 | 0.5248 |
| --- | --- | --- | --- | --- |
| Baseline2 | 3.55 | 0.6613 | 3.64 | 0.6741 |
| OPT-RC | 4.56 | 0.6102 | 4.24 | 0.6281 |
| FCN-MT | 2.74 | 0.7175 | 2.52 | 0.784 |
| 1
|
| Method | Downtown | Parkway | |
| --- | --- | --- | --- |
| MAE | ARA | MAE | ARA |
|
| Baseline2-Hydra | 10.99 | 0.7129 |
| --- | --- | --- |
| OPT-RC | 12.41 | 0.6674 |
| FCN-ST | 5.47 | 0.827 |
| FCN-MT | 5.31 | 0.856 |
| 0
|
| Algorithm | δ | Edges(inK) | Weight<br>wt(MST) | Degree | Shortestpath<br>queries(inK) |
| --- | --- | --- | --- | --- | --- |
| Path-Greedy | - | 35.6 | 10 | 17 | 31996 |
|
| δ-Greedy | 1.1 | 35.6 | 10 | 17 | 254 |
| --- | --- | --- | --- | --- | --- |
| δ-Greedy | 1.0896 | 37.8 | 12 | 18 | 242 |
| δ-Greedy | 1.048 | 51.6 | 19 | 23 | 204 |
| θ-Graph | - | 376.6 | 454 | 149 | - |
| Greedyonθ-Graph | 1.0896 | 37.8 | 12 | 18 | 3005 |
| Greedyonθ-Graph | 1.048 | 52 | 19 | 23 | 693 |
| Gap-Greedy | - | 51.6 | 19 | 23 | 326 |
| 1
|
| Algorithm | δ | Edges(inK) | Weight<br>wt(MST) | Degree | Shortestpath<br>queries(inK) |
| --- | --- | --- | --- | --- | --- |
| Path-Greedy | - | 35.6 | 10 | 17 | 31996 |
|
| Algorithm | δ | Edges(inK) | Weight<br>wt(MST) | Degree | Shortestpath<br>queries(inK) |
| --- | --- | --- | --- | --- | --- |
| Path-Greedy | - | 15.1 | 3 | 7 | 31996 |
| δ-Greedy | 1.5 | 15.1 | 3 | 7 | 82 |
| δ-Greedy | 1.44 | 16 | 3 | 8 | 77 |
| δ-Greedy | 1.224 | 22.5 | 5 | 11 | 63 |
| θ-Graph | - | 118.6 | 76 | 53 | - |
| Greedyonθ-Graph | 1.44 | 16 | 3 | 8 | 817 |
| Greedyonθ-Graph | 1.224 | 22.5 | 6 | 11 | 198 |
| Gap-Greedy | - | 22.6 | 5 | 11 | 95 |
| 0
|
| Algorithm | δ | Edges(inK) | Weight<br>wt(MST) | Degree | Shortestpath<br>queries(inK) |
| --- | --- | --- | --- | --- | --- |
| Path-Greedy | - | 35.6 | 10 | 17 | 31996 |
| δ-Greedy | 1.1 | 35.6 | 10 | 17 | 254 |
| δ-Greedy | 1.0896 | 37.8 | 12 | 18 | 242 |
| δ-Greedy | 1.048 | 51.6 | 19 | 23 | 204 |
| θ-Graph | - | 376.6 | 454 | 149 | - |
|
| Greedyonθ-Graph | 1.0896 | 37.8 | 12 | 18 | 3005 |
| --- | --- | --- | --- | --- | --- |
| Greedyonθ-Graph | 1.048 | 52 | 19 | 23 | 693 |
| Gap-Greedy | - | 51.6 | 19 | 23 | 326 |
| 1
|
| Algorithm | δ | Edges(inK) | Weight<br>wt(MST) | Degree | Shortestpath<br>queries(inK) |
| --- | --- | --- | --- | --- | --- |
| Path-Greedy | - | 35.6 | 10 | 17 | 31996 |
| δ-Greedy | 1.1 | 35.6 | 10 | 17 | 254 |
| δ-Greedy | 1.0896 | 37.8 | 12 | 18 | 242 |
| δ-Greedy | 1.048 | 51.6 | 19 | 23 | 204 |
| θ-Graph | - | 376.6 | 454 | 149 | - |
|
| θ-Graph | - | 118.6 | 76 | 53 | - |
| --- | --- | --- | --- | --- | --- |
| Greedyonθ-Graph | 1.44 | 16 | 3 | 8 | 817 |
| Greedyonθ-Graph | 1.224 | 22.5 | 6 | 11 | 198 |
| Gap-Greedy | - | 22.6 | 5 | 11 | 95 |
| 0
|
| ∆T | δ=1 | δ=2 | δ=3 | | | |
| --- | --- | --- | --- | --- | --- | --- |
| ρ | R | ρ | R | ρ | R | |
| 5 | 0.882 | 0.68 | 0.915 | 0.82 | 0.911 | 0.76 |
|
| 7 | 0.841 | 0.61 | 0.877 | 0.77 | 0.884 | 0.72 |
| --- | --- | --- | --- | --- | --- | --- |
| 9 | 0.765 | 0.58 | 0.819 | 0.69 | 0.822 | 0.64 |
| 1
|
| ∆T | δ=1 | δ=2 | δ=3 | | | |
| --- | --- | --- | --- | --- | --- | --- |
| ρ | R | ρ | R | ρ | R | |
| 5 | 0.882 | 0.68 | 0.915 | 0.82 | 0.911 | 0.76 |
|
| ∆t | BaselineI | BaselineII | BaselineIII | | | |
| --- | --- | --- | --- | --- | --- | --- |
| ρ | R | ρ | R | ρ | R | |
| 3 | 0.793(0.003) | 0.654(0.019) | 0.856(0.021) | 0.724(0.001) | 0.895(0.012) | 0.769(0.017) |
| 5 | 0.745(0.021) | 0.644(0.006) | 0.792(0.007) | 0.699(0.012) | 0.814(0.019) | 0.788(0.001) |
| 7 | 0.691(0.016) | 0.593(0.003) | 0.752(0.004) | 0.688(0.019) | 0.754(0.023) | 0.690(0.026) |
| 9 | 0.543(0.008) | 0.588(0.015) | 0.646(0.009) | 0.639(0.002) | 0.684(0.002) | 0.643(0.001) |
| 11 | 0.591(0.015) | 0.544(0.002) | 0.633(0.010) | 0.542(0.006) | 0.675(0.008) | 0.582(0.021) |
| 0
|
| ∆T | δ=1 | δ=2 | δ=3 | | |
| --- | --- | --- | --- | --- | --- |
| ρ | R | ρ | R | ρ | R |
|
| 5 | 0.882 | 0.68 | 0.915 | 0.82 | 0.911 | 0.76 |
| --- | --- | --- | --- | --- | --- | --- |
| 7 | 0.841 | 0.61 | 0.877 | 0.77 | 0.884 | 0.72 |
| 9 | 0.765 | 0.58 | 0.819 | 0.69 | 0.822 | 0.64 |
| 1
|
| ∆T | δ=1 | δ=2 | δ=3 | | |
| --- | --- | --- | --- | --- | --- |
| ρ | R | ρ | R | ρ | R |
|
| 7 | 0.691(0.016) | 0.593(0.003) | 0.752(0.004) | 0.688(0.019) | 0.754(0.023) | 0.690(0.026) |
| --- | --- | --- | --- | --- | --- | --- |
| 9 | 0.543(0.008) | 0.588(0.015) | 0.646(0.009) | 0.639(0.002) | 0.684(0.002) | 0.643(0.001) |
| 11 | 0.591(0.015) | 0.544(0.002) | 0.633(0.010) | 0.542(0.006) | 0.675(0.008) | 0.582(0.021) |
| 0
|
| Dataset | LRE | BME | SMCE | LRNE |
| --- | --- | --- | --- | --- |
| SimulatedDataset-2Ternary | 42.81 | 5.13 | 14.56 | 2.49 |
|
| SimulatedDataset-3Ternary | 41.25 | 7.09 | 11.13 | 6.23 |
| --- | --- | --- | --- | --- |
| RealParticulateMixture | 39.96 | 1.19 | 10.82 | 0.97 |
| HyperspectralTileTarget | 46.68 | 41.72 | 42.12 | 40.86 |
| 1
|
| Dataset | LRE | BME | SMCE | LRNE |
| --- | --- | --- | --- | --- |
| SimulatedDataset-2Ternary | 42.81 | 5.13 | 14.56 | 2.49 |
|
| Datasets | | | | |
| --- | --- | --- | --- | --- |
| AIDAtestA | AIDAtestB | | | |
| Systems | R@MI | R@MA | R@MI | R@MA |
| LocalMention | 69.73 | 69.30 | 67.98 | 72.75 |
| Unnorm | 69.77 | 69.95 | 75.87 | 75.12 |
| Rescaled | 75.09 | 74.25 | 74.76 | 78.28 |
| LocalContext | 82.50 | 81.56 | 85.46 | 84.08 |
| PBoH | 85.53 | 85.09 | 87.51 | 86.39 |
| 0
|
| Dataset | LRE | BME | SMCE | LRNE |
| --- | --- | --- | --- | --- |
| SimulatedDataset-2Ternary | 42.81 | 5.13 | 14.56 | 2.49 |
|
| SimulatedDataset-3Ternary | 41.25 | 7.09 | 11.13 | 6.23 |
| --- | --- | --- | --- | --- |
| RealParticulateMixture | 39.96 | 1.19 | 10.82 | 0.97 |
| HyperspectralTileTarget | 46.68 | 41.72 | 42.12 | 40.86 |
| 1
|
| Dataset | LRE | BME | SMCE | LRNE |
| --- | --- | --- | --- | --- |
| SimulatedDataset-2Ternary | 42.81 | 5.13 | 14.56 | 2.49 |
|
| Rescaled | 75.09 | 74.25 | 74.76 | 78.28 |
| --- | --- | --- | --- | --- |
| LocalContext | 82.50 | 81.56 | 85.46 | 84.08 |
| PBoH | 85.53 | 85.09 | 87.51 | 86.39 |
| 0
|
| | LR | SVM | SLA | BBLR | BBLR |
| --- | --- | --- | --- | --- | --- |
| Breast | 22 | 21 | 23 | 22 | 21 |
|
| Heart | 45 | 45 | 48 | 50 | 43 |
| --- | --- | --- | --- | --- | --- |
| Liver | 109 | 110 | 114 | 105 | 105 |
| Pima | 172 | 172 | 184 | 176 | 171 |
| TotalL01 | 348 | 348 | 368 | 354 | 340 |
| 1
|
| | LR | SVM | SLA | BBLR | BBLR |
| --- | --- | --- | --- | --- | --- |
| Breast | 22 | 21 | 23 | 22 | 21 |
|
| Dataset | BBLR | SVM | KBBLR |
| --- | --- | --- | --- |
| Breast | 2.82 | 3.26 | 2.98 |
| Heart | 17.08 | 17.76 | 16.27 |
| Liver | 31.80 | 29.61 | 26.91 |
| Pima | 21.57 | 22.44 | 22.9 |
| 0
|
| | LR | SVM | SLA | BBLR | BBLR |
| --- | --- | --- | --- | --- | --- |
| Breast | 22 | 21 | 23 | 22 | 21 |
| Heart | 45 | 45 | 48 | 50 | 43 |
| Liver | 109 | 110 | 114 | 105 | 105 |
|
| Pima | 172 | 172 | 184 | 176 | 171 |
| --- | --- | --- | --- | --- | --- |
| TotalL01 | 348 | 348 | 368 | 354 | 340 |
| 1
|
| | LR | SVM | SLA | BBLR | BBLR |
| --- | --- | --- | --- | --- | --- |
| Breast | 22 | 21 | 23 | 22 | 21 |
| Heart | 45 | 45 | 48 | 50 | 43 |
| Liver | 109 | 110 | 114 | 105 | 105 |
|
| Heart | 17.08 | 17.76 | 16.27 |
| --- | --- | --- | --- |
| Liver | 31.80 | 29.61 | 26.91 |
| Pima | 21.57 | 22.44 | 22.9 |
| 0
|
| Segmentation-Breakfast | |
| --- | --- |
| GMMs | 163264128256 |
| Grammar(MoC) | 36.236.938.134.032.7 |
| HMMs(MoC) | 18.719.219.816.515.9 |
|
| Grammar(MoF) | 54.254.456.351.950.7 |
| --- | --- |
| HMMs(MoF) | 24.224.926.520.820.5 |
| 1
|
| Segmentation-Breakfast | |
| --- | --- |
| GMMs | 163264128256 |
| Grammar(MoC) | 36.236.938.134.032.7 |
| HMMs(MoC) | 18.719.219.816.515.9 |
|
| corpus:low,MRC:high | | | | |
| --- | --- | --- | --- | --- |
| WSJ | Wikipedia-E | Web-E | BNC | MICASE |
| pencil<br>noisy<br>oven<br>happiness | mileage<br>towel<br>thoughtful<br>bra | doughnut<br>coke<br>steady<br>hunger | sock<br>nickel<br>boring<br>shrimp | bedroom<br>thirsty<br>spoon<br>sunshine |
| corpus:high,MRC:low | | | | |
| lire<br>southland<br>gore<br>charter | sonata<br>hank<br>aurora<br>belle | dell<br>portal<br>fort<br>enterprise | essence<br>lorry<br>debut<br>rover | hypothesis<br>velocity<br>precipitate<br>mass |
| 0
|
| Segmentation-Breakfast | |
| --- | --- |
| GMMs | 163264128256 |
|
| Grammar(MoC) | 36.236.938.134.032.7 |
| --- | --- |
| HMMs(MoC) | 18.719.219.816.515.9 |
| Grammar(MoF) | 54.254.456.351.950.7 |
| HMMs(MoF) | 24.224.926.520.820.5 |
| 1
|
| Segmentation-Breakfast | |
| --- | --- |
| GMMs | 163264128256 |
|
| pencil<br>noisy<br>oven<br>happiness | mileage<br>towel<br>thoughtful<br>bra | doughnut<br>coke<br>steady<br>hunger | sock<br>nickel<br>boring<br>shrimp | bedroom<br>thirsty<br>spoon<br>sunshine |
| --- | --- | --- | --- | --- |
| corpus:high,MRC:low | | | | |
| lire<br>southland<br>gore<br>charter | sonata<br>hank<br>aurora<br>belle | dell<br>portal<br>fort<br>enterprise | essence<br>lorry<br>debut<br>rover | hypothesis<br>velocity<br>precipitate<br>mass |
| 0
|
| Test | 1 | 2 | 3 |
| --- | --- | --- | --- |
| RMSError(All) | 0.0052 | 0.0069 | 0.0169 |
| RMSError(Step1-20) | 0.0064 | 0.0082 | 0.0240 |
|
| RMSError(Step21-40) | 0.0042 | 0.0075 | 0.0194 |
| --- | --- | --- | --- |
| RMSError(Step41-60) | 0.0033 | 0.0069 | 0.0150 |
| RMSError(Step61-80) | 0.0031 | 0.0062 | 0.0121 |
| RMSError(Step81-100) | 0.0024 | 0.0052 | 0.0101 |
| 1
|
| Test | 1 | 2 | 3 |
| --- | --- | --- | --- |
| RMSError(All) | 0.0052 | 0.0069 | 0.0169 |
| RMSError(Step1-20) | 0.0064 | 0.0082 | 0.0240 |
|
| Area(I) | Area(II) | Area(III) | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| RMSE | MAE | RMSE | MAE | RMSE | MAE | RMSE |
| 0.855 | 0.671 | - | - | - | - | - |
| 0.839 | 0.651 | - | - | - | - | - |
| 0.906 | 0.722 | 0.976 | 0.781 | - | - | - |
| 0.841 | 0.662 | - | - | 0.856 | 0.670 | - |
| 0.889 | 0.702 | 0.969 | 0.765 | - | - | - |
| 0.850 | 0.675 | 0.883 | 0.699 | 0.864 | 0.685 | 0.904 |
| 0
|
| Test | 1 | 2 | 3 |
| --- | --- | --- | --- |
| RMSError(All) | 0.0052 | 0.0069 | 0.0169 |
| RMSError(Step1-20) | 0.0064 | 0.0082 | 0.0240 |
|
| RMSError(Step21-40) | 0.0042 | 0.0075 | 0.0194 |
| --- | --- | --- | --- |
| RMSError(Step41-60) | 0.0033 | 0.0069 | 0.0150 |
| RMSError(Step61-80) | 0.0031 | 0.0062 | 0.0121 |
| RMSError(Step81-100) | 0.0024 | 0.0052 | 0.0101 |
| 1
|
| Test | 1 | 2 | 3 |
| --- | --- | --- | --- |
| RMSError(All) | 0.0052 | 0.0069 | 0.0169 |
| RMSError(Step1-20) | 0.0064 | 0.0082 | 0.0240 |
|
| 0.889 | 0.702 | 0.969 | 0.765 | - | - | - |
| --- | --- | --- | --- | --- | --- | --- |
| 0.850 | 0.675 | 0.883 | 0.699 | 0.864 | 0.685 | 0.904 |
| 0
|
| Alg. | Generated | HBP1 | HBP2 | OB | Bad | Good | time |
| --- | --- | --- | --- | --- | --- | --- | --- |
| h1=∆X,h2=∆Y,Depth=26.66 | | | | | | | |
| A*<br>A*+HBP<br>LA*<br>LA*+HBP | 1,085,156<br>1,085,156<br>1,085,157<br>1,085,157 | 0<br>216,689<br>0<br>140,746 | 0<br>346,335<br>0<br>342,178 | 0<br>0<br>734,713<br>589,893 | 0<br>0<br>37,750<br>37,725 | 0<br>0<br>312,694<br>115,361 | 415<br>417<br>417<br>416 |
|
| h1=Manhattandistance,h2=7-8PDB,Depth52.52 | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| A*<br>A*+HBP<br>LA*<br>LA*+HBP | 43,741<br>43,804<br>43,743<br>43,813 | 0<br>30,136<br>0<br>7,669 | 0<br>1,285<br>0<br>1,278 | 0<br>0<br>42,679<br>42,271 | 0<br>0<br>47<br>21 | 0<br>0<br>1,017<br>243 | 34.7<br>33.6<br>34.2<br>33.3 |
| 1
|
| Alg. | Generated | HBP1 | HBP2 | OB | Bad | Good | time |
| --- | --- | --- | --- | --- | --- | --- | --- |
| h1=∆X,h2=∆Y,Depth=26.66 | | | | | | | |
| A*<br>A*+HBP<br>LA*<br>LA*+HBP | 1,085,156<br>1,085,156<br>1,085,157<br>1,085,157 | 0<br>216,689<br>0<br>140,746 | 0<br>346,335<br>0<br>342,178 | 0<br>0<br>734,713<br>589,893 | 0<br>0<br>37,750<br>37,725 | 0<br>0<br>312,694<br>115,361 | 415<br>417<br>417<br>416 |
|
| | | | | | |
| --- | --- | --- | --- | --- | --- |
| frb30-15-1 | t<br>c<br>r<br>n | 22,3<br>16,5M<br>105626<br>3863 | 20,9<br>11,1M<br>70924<br>3858 | 29,3<br>16,4M<br>102724<br>4138 | 14,1<br>7,5M<br>46727<br>2499 |
| frb30-15-2 | t<br>c<br>r<br>n | 84,9<br>45,7M<br>311040<br>15457 | 29,7<br>21,8M<br>149119<br>7935 | 118,9<br>90M<br>624360<br>25148 | 95<br>68,9M<br>472124<br>24467 |
| frb35-17-1 | t<br>c<br>r<br>n | 125,8<br>93,9M<br>533694<br>18587 | 193,7<br>144M<br>836462<br>40698 | 118<br>89,7M<br>514258<br>19167 | 250,9<br>180,9M<br>1,03M<br>50611 |
| rand-2-30-15 | t<br>c<br>r<br>n | 1240<br>114,5M<br>922251<br>28725 | 74,4<br>53M<br>443792<br>19846 | 98<br>72,5M<br>602582<br>20192 | 108,1<br>78,1M<br>642665<br>28766 |
| geo50-20-d4-75-2 | t<br>c<br>r<br>n | 226,1<br>191,8M<br>778758<br>20069 | 401,8<br>310,3M<br>1,3M<br>60182 | 34,8<br>28,2M<br>117241<br>3735 | 39,5<br>28,8M<br>124163<br>5484 |
| 0
|
| Alg. | Generated | HBP1 | HBP2 | OB | Bad | Good | time |
| --- | --- | --- | --- | --- | --- | --- | --- |
| h1=∆X,h2=∆Y,Depth=26.66 | | | | | | | |
| A*<br>A*+HBP<br>LA*<br>LA*+HBP | 1,085,156<br>1,085,156<br>1,085,157<br>1,085,157 | 0<br>216,689<br>0<br>140,746 | 0<br>346,335<br>0<br>342,178 | 0<br>0<br>734,713<br>589,893 | 0<br>0<br>37,750<br>37,725 | 0<br>0<br>312,694<br>115,361 | 415<br>417<br>417<br>416 |
|
| h1=Manhattandistance,h2=7-8PDB,Depth52.52 | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| A*<br>A*+HBP<br>LA*<br>LA*+HBP | 43,741<br>43,804<br>43,743<br>43,813 | 0<br>30,136<br>0<br>7,669 | 0<br>1,285<br>0<br>1,278 | 0<br>0<br>42,679<br>42,271 | 0<br>0<br>47<br>21 | 0<br>0<br>1,017<br>243 | 34.7<br>33.6<br>34.2<br>33.3 |
| 1
|
| Alg. | Generated | HBP1 | HBP2 | OB | Bad | Good | time |
| --- | --- | --- | --- | --- | --- | --- | --- |
| h1=∆X,h2=∆Y,Depth=26.66 | | | | | | | |
| A*<br>A*+HBP<br>LA*<br>LA*+HBP | 1,085,156<br>1,085,156<br>1,085,157<br>1,085,157 | 0<br>216,689<br>0<br>140,746 | 0<br>346,335<br>0<br>342,178 | 0<br>0<br>734,713<br>589,893 | 0<br>0<br>37,750<br>37,725 | 0<br>0<br>312,694<br>115,361 | 415<br>417<br>417<br>416 |
|
| frb30-15-2 | t<br>c<br>r<br>n | 84,9<br>45,7M<br>311040<br>15457 | 29,7<br>21,8M<br>149119<br>7935 | 118,9<br>90M<br>624360<br>25148 | 95<br>68,9M<br>472124<br>24467 |
| --- | --- | --- | --- | --- | --- |
| frb35-17-1 | t<br>c<br>r<br>n | 125,8<br>93,9M<br>533694<br>18587 | 193,7<br>144M<br>836462<br>40698 | 118<br>89,7M<br>514258<br>19167 | 250,9<br>180,9M<br>1,03M<br>50611 |
| rand-2-30-15 | t<br>c<br>r<br>n | 1240<br>114,5M<br>922251<br>28725 | 74,4<br>53M<br>443792<br>19846 | 98<br>72,5M<br>602582<br>20192 | 108,1<br>78,1M<br>642665<br>28766 |
| geo50-20-d4-75-2 | t<br>c<br>r<br>n | 226,1<br>191,8M<br>778758<br>20069 | 401,8<br>310,3M<br>1,3M<br>60182 | 34,8<br>28,2M<br>117241<br>3735 | 39,5<br>28,8M<br>124163<br>5484 |
| 0
|
| Method | Size | Oxf5k | Oxf105k | Oxf1M | Paris6k | Paris1M |
| --- | --- | --- | --- | --- | --- | --- |
| Max-pooling | 256 | 53.3 | - | - | 67.0 | - |
| SPoC | 256 | 53.1 | 50.1 | - | - | - |
| MAC | 256 | 56.9 | 47.8 | - | 72.4 | - |
|
| NetVLAD | 256 | 63.5 | - | - | 73.5 | - |
| --- | --- | --- | --- | --- | --- | --- |
| CroW | 256 | 65.4 | 59.3 | - | 77.9 | - |
| Ngetal | 128 | 59.3 | - | - | 59.0 | - |
| MAC* | 128 | 76.8 | 70.8 | 60.1 | 78.8 | 62.5 |
| SUMPool | 128 | 72.6 | 67.7 | 57.9 | 78.4 | 62.4 |
| SIAM-FV | 128 | 77.3 | 71.8 | 62.5 | 78.9 | 63.2 |
| 1
|
| Method | Size | Oxf5k | Oxf105k | Oxf1M | Paris6k | Paris1M |
| --- | --- | --- | --- | --- | --- | --- |
| Max-pooling | 256 | 53.3 | - | - | 67.0 | - |
| SPoC | 256 | 53.1 | 50.1 | - | - | - |
| MAC | 256 | 56.9 | 47.8 | - | 72.4 | - |
|
| Method | Size | Oxf5k | Oxf105k | Paris6k |
| --- | --- | --- | --- | --- |
| TEmb | 1024 | 56.0 | 50.2 | - |
| NetVLAD | 4096 | 71.6 | - | 79.7 |
| MAC | 512 | 58.3 | 49.2 | 72.6 |
| R-MAC | 512 | 66.9 | 61.6 | 83.0 |
| CroW | 512 | 68.2 | 63.2 | 79.7 |
| MAC* | 512 | 80.0 | 75.1 | 82.9 |
| SUMPool | 512 | 79.5 | 75.0 | 81.3 |
| SIAM-FV | 512 | 81.5 | 76.6 | 82.4 |
| 0
|
| Method | Size | Oxf5k | Oxf105k | Oxf1M | Paris6k | Paris1M |
| --- | --- | --- | --- | --- | --- | --- |
| Max-pooling | 256 | 53.3 | - | - | 67.0 | - |
| SPoC | 256 | 53.1 | 50.1 | - | - | - |
| MAC | 256 | 56.9 | 47.8 | - | 72.4 | - |
|
| NetVLAD | 256 | 63.5 | - | - | 73.5 | - |
| --- | --- | --- | --- | --- | --- | --- |
| CroW | 256 | 65.4 | 59.3 | - | 77.9 | - |
| Ngetal | 128 | 59.3 | - | - | 59.0 | - |
| MAC* | 128 | 76.8 | 70.8 | 60.1 | 78.8 | 62.5 |
| SUMPool | 128 | 72.6 | 67.7 | 57.9 | 78.4 | 62.4 |
| SIAM-FV | 128 | 77.3 | 71.8 | 62.5 | 78.9 | 63.2 |
| 1
|
| Method | Size | Oxf5k | Oxf105k | Oxf1M | Paris6k | Paris1M |
| --- | --- | --- | --- | --- | --- | --- |
| Max-pooling | 256 | 53.3 | - | - | 67.0 | - |
| SPoC | 256 | 53.1 | 50.1 | - | - | - |
| MAC | 256 | 56.9 | 47.8 | - | 72.4 | - |
|
| R-MAC | 512 | 66.9 | 61.6 | 83.0 |
| --- | --- | --- | --- | --- |
| CroW | 512 | 68.2 | 63.2 | 79.7 |
| MAC* | 512 | 80.0 | 75.1 | 82.9 |
| SUMPool | 512 | 79.5 | 75.0 | 81.3 |
| SIAM-FV | 512 | 81.5 | 76.6 | 82.4 |
| 0
|
| p | tree | RRGnumerics |
| --- | --- | --- |
| 0.5 | 4.16 | 4.36±0.03 |
| 0.45 | 4.22 | 4.45±0.05 |
| 0.4 | 4.53 | 4.75±0.05 |
|
| 0.35 | 5.13 | 5.30±0.05 |
| --- | --- | --- |
| 0.3 | 6.16 | 6.28±0.05 |
| 1
|
| p | tree | RRGnumerics |
| --- | --- | --- |
| 0.5 | 4.16 | 4.36±0.03 |
| 0.45 | 4.22 | 4.45±0.05 |
| 0.4 | 4.53 | 4.75±0.05 |
|
| | Nodes | Leaves | Levels |
| --- | --- | --- | --- |
| IGTree | 865 | 433 | 33 |
| BS-tree | 719 | 360 | 86 |
| C4.5 | 339 | 170 | 26 |
| BD-tree | 451 | 226 | 52 |
| SE-tree | 559 | 209 | 8 |
| 0
|
| p | tree | RRGnumerics |
| --- | --- | --- |
| 0.5 | 4.16 | 4.36±0.03 |
| 0.45 | 4.22 | 4.45±0.05 |
|
| 0.4 | 4.53 | 4.75±0.05 |
| --- | --- | --- |
| 0.35 | 5.13 | 5.30±0.05 |
| 0.3 | 6.16 | 6.28±0.05 |
| 1
|
| p | tree | RRGnumerics |
| --- | --- | --- |
| 0.5 | 4.16 | 4.36±0.03 |
| 0.45 | 4.22 | 4.45±0.05 |
|
| BS-tree | 719 | 360 | 86 |
| --- | --- | --- | --- |
| C4.5 | 339 | 170 | 26 |
| BD-tree | 451 | 226 | 52 |
| SE-tree | 559 | 209 | 8 |
| 0
|
| n | f | f | f | f | f | f |
| --- | --- | --- | --- | --- | --- | --- |
| 50 | −0.8357 | −0.9162 | −0.9434 | −0.9434 | −0.9736 | −0.9736 |
| 60 | −0.8421 | −0.9202 | −0.9459 | −0.9459 | −0.9740 | −0.9740 |
| 70 | −0.8415 | −0.9212 | −0.9471 | −0.9471 | −0.9747 | −0.9747 |
| 100 | N/A | −0.9268 | −0.9509 | −0.9509 | −0.9755 | −0.9755 |
|
| 500 | N/A | −0.9401 | −0.9606 | −0.9606 | −0.9777 | −0.9777 |
| --- | --- | --- | --- | --- | --- | --- |
| 1000 | N/A | −0.9435 | −0.9630 | −0.9630 | −0.9781 | −0.9781 |
| 1
|
| n | f | f | f | f | f | f |
| --- | --- | --- | --- | --- | --- | --- |
| 50 | −0.8357 | −0.9162 | −0.9434 | −0.9434 | −0.9736 | −0.9736 |
| 60 | −0.8421 | −0.9202 | −0.9459 | −0.9459 | −0.9740 | −0.9740 |
| 70 | −0.8415 | −0.9212 | −0.9471 | −0.9471 | −0.9747 | −0.9747 |
| 100 | N/A | −0.9268 | −0.9509 | −0.9509 | −0.9755 | −0.9755 |
|
| n | D(n) | D(n)f | D(n)/D(n)f |
| --- | --- | --- | --- |
| 4 | 7 | 6 | 0.857143 |
| 5 | 20 | 18 | 0.900000 |
| 6 | 71 | 63 | 0.887324 |
| 7 | 240 | 216 | 0.900000 |
| 8 | 871 | 783 | 0.898967 |
| 9 | 3148 | 2843 | 0.903113 |
| 10 | 11655 | 10535 | 0.903904 |
| 11 | 43332 | 39232 | 0.905382 |
| 12 | 162769 | 147457 | 0.905928 |
| 13 | 614198 | 556859 | 0.906644 |
| 14 | 2330537 | 2113982 | 0.907079 |
| 15 | 8875768 | 8054923 | 0.907518 |
| 16 | 33924859 | 30799063 | 0.907861 |
| 17 | 130038230 | 118098443 | 0.908182 |
| 18 | 499753855 | 454006818 | 0.908461 |
| 19 | 1924912894 | 1749201100 | 0.908717 |
| 20 | 7429160296 | 6752721263 | 0.908948 |
| 21 | 28723877732 | 26114628694 | 0.909161 |
| 22 | 111236423288 | 101153550972 | 0.909356 |
| 23 | 431403470222 | 392377497401 | 0.909537 |
| 24 | 1675316535350 | 1524043284254 | 0.909705 |
| 25 | 6513837679610 | 5926683351876 | 0.909860 |
| 26 | 25354842100894 | 23073049582134 | 0.910006 |
| 0
|
| n | f | f | f | f | f | f |
| --- | --- | --- | --- | --- | --- | --- |
| 50 | −0.8357 | −0.9162 | −0.9434 | −0.9434 | −0.9736 | −0.9736 |
| 60 | −0.8421 | −0.9202 | −0.9459 | −0.9459 | −0.9740 | −0.9740 |
|
| 70 | −0.8415 | −0.9212 | −0.9471 | −0.9471 | −0.9747 | −0.9747 |
| --- | --- | --- | --- | --- | --- | --- |
| 100 | N/A | −0.9268 | −0.9509 | −0.9509 | −0.9755 | −0.9755 |
| 500 | N/A | −0.9401 | −0.9606 | −0.9606 | −0.9777 | −0.9777 |
| 1000 | N/A | −0.9435 | −0.9630 | −0.9630 | −0.9781 | −0.9781 |
| 1
|
| n | f | f | f | f | f | f |
| --- | --- | --- | --- | --- | --- | --- |
| 50 | −0.8357 | −0.9162 | −0.9434 | −0.9434 | −0.9736 | −0.9736 |
| 60 | −0.8421 | −0.9202 | −0.9459 | −0.9459 | −0.9740 | −0.9740 |
|
| 11 | 43332 | 39232 | 0.905382 |
| --- | --- | --- | --- |
| 12 | 162769 | 147457 | 0.905928 |
| 13 | 614198 | 556859 | 0.906644 |
| 14 | 2330537 | 2113982 | 0.907079 |
| 15 | 8875768 | 8054923 | 0.907518 |
| 16 | 33924859 | 30799063 | 0.907861 |
| 17 | 130038230 | 118098443 | 0.908182 |
| 18 | 499753855 | 454006818 | 0.908461 |
| 19 | 1924912894 | 1749201100 | 0.908717 |
| 20 | 7429160296 | 6752721263 | 0.908948 |
| 21 | 28723877732 | 26114628694 | 0.909161 |
| 22 | 111236423288 | 101153550972 | 0.909356 |
| 23 | 431403470222 | 392377497401 | 0.909537 |
| 24 | 1675316535350 | 1524043284254 | 0.909705 |
| 25 | 6513837679610 | 5926683351876 | 0.909860 |
| 26 | 25354842100894 | 23073049582134 | 0.910006 |
| 0
|
| Rule(C→Q) | Caption |
| --- | --- |
| NP→“Doesitlooklike”+NP<br>NP1+VB(+NP2)<br>→conjug(“do/be”,tense(VB))+NP1+conjug(VB,present)(+NP2)?<br>NP1+MD+VB(+NP2)→MD+NP1+VB(+NP2)?<br>EX+“is/are”+NP→“is/are”+EX+NP? | Aman.<br>–<br>Adogjumped.<br>Aboywouldhittheball.<br>Therearecats. |
|
| sameasaboveexceptreplace(NP1,randomNP)or,<br>replace(VB,randomVB) | Peopleareplayingbaseball.<br>Peopleareplayingbaseball. |
| --- | --- |
| EX+is/are+num+NP→Howmany+NP+is/are+EX?<br>num+NP+VB→replace(num,howmany) | Therearetwocats.<br>Sixcarsareparked. |
| NP1(+MD)+VB→WP(+MD)+VB?or,<br>→WP+MD/conjug(“do/be”,tense(VB))+NP+“do/doing”)?<br>obj/property+VB(+NP)→WP/WDT+category+VP(+NP)<br>NP1+VB(+NP2)+IN+NP3<br>→WRB+conjug(“do/be”,tense(VB))+NP1+conjug(VB,tense(VB))? | Aboyisrunning.<br>Aboyisrunning.<br>Anappleisshown.<br>–<br>Dogsruninapark. |
| 1
|
| Rule(C→Q) | Caption |
| --- | --- |
| NP→“Doesitlooklike”+NP<br>NP1+VB(+NP2)<br>→conjug(“do/be”,tense(VB))+NP1+conjug(VB,present)(+NP2)?<br>NP1+MD+VB(+NP2)→MD+NP1+VB(+NP2)?<br>EX+“is/are”+NP→“is/are”+EX+NP? | Aman.<br>–<br>Adogjumped.<br>Aboywouldhittheball.<br>Therearecats. |
|
| T5<br>Starting<br>Vacancy | Oddsoffinishingataonepegposition<br>PlayerAPlayerBPlayerC<br>(anyjump)(ruleofthumb)(followsSAXcount) | | |
| --- | --- | --- | --- |
| a1 | 1in146 | 1in47 | 1in7 |
| b3 | 1in579 | 1in142 | 1in19 |
| a4 | 1in291 | 1in47 | 1in7 |
| c5 | 1in141 | 1in13 | 1in7 |
| 0
|
| Rule(C→Q) | Caption |
| --- | --- |
| NP→“Doesitlooklike”+NP<br>NP1+VB(+NP2)<br>→conjug(“do/be”,tense(VB))+NP1+conjug(VB,present)(+NP2)?<br>NP1+MD+VB(+NP2)→MD+NP1+VB(+NP2)?<br>EX+“is/are”+NP→“is/are”+EX+NP? | Aman.<br>–<br>Adogjumped.<br>Aboywouldhittheball.<br>Therearecats. |
|
| sameasaboveexceptreplace(NP1,randomNP)or,<br>replace(VB,randomVB) | Peopleareplayingbaseball.<br>Peopleareplayingbaseball. |
| --- | --- |
| EX+is/are+num+NP→Howmany+NP+is/are+EX?<br>num+NP+VB→replace(num,howmany) | Therearetwocats.<br>Sixcarsareparked. |
| NP1(+MD)+VB→WP(+MD)+VB?or,<br>→WP+MD/conjug(“do/be”,tense(VB))+NP+“do/doing”)?<br>obj/property+VB(+NP)→WP/WDT+category+VP(+NP)<br>NP1+VB(+NP2)+IN+NP3<br>→WRB+conjug(“do/be”,tense(VB))+NP1+conjug(VB,tense(VB))? | Aboyisrunning.<br>Aboyisrunning.<br>Anappleisshown.<br>–<br>Dogsruninapark. |
| 1
|
| Rule(C→Q) | Caption |
| --- | --- |
| NP→“Doesitlooklike”+NP<br>NP1+VB(+NP2)<br>→conjug(“do/be”,tense(VB))+NP1+conjug(VB,present)(+NP2)?<br>NP1+MD+VB(+NP2)→MD+NP1+VB(+NP2)?<br>EX+“is/are”+NP→“is/are”+EX+NP? | Aman.<br>–<br>Adogjumped.<br>Aboywouldhittheball.<br>Therearecats. |
|
| a4 | 1in291 | 1in47 | 1in7 |
| --- | --- | --- | --- |
| c5 | 1in141 | 1in13 | 1in7 |
| 0
|
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