Classification on SEGMENTATION
0.057Empirical Risk (Rs(h))Alg. 1
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Alg. 1Model Type=Linear, Learning Setting=Batch, epsilon=1/m, K=0.2√m2023.06 | 0.057 | 0.216 | — | — | |
| ERMModel Type=Linear, Learning Setting=Batch2023.06 | 0.087 | 0.232 | — | — | |
| Alg. 1model=Neural Network, epsilon (ε)=1/m, K=0.2√m2023.06 | 0.145 | 0.25 | — | — | |
| Alg. 1Model=Neural Network, Learning mode=Batch, epsilon=1/m2023.06 | 0.145 | 0.25 | — | — | |
| Alg. 1Model Type=Linear, Learning Setting=Batch, epsilon=1/√m, K=0.2√m2023.06 | 0.164 | 0.386 | — | — | |
| ERMmodel=Neural Network2023.06 | 0.174 | 0.389 | — | — | |
| ERMModel=Neural Network, Learning mode=Batch2023.06 | 0.174 | 0.389 | — | — | |
| Alg. 1model=Neural Network, epsilon (ε)=1/√m, K=0.2√m2023.06 | 0.189 | 0.373 | — | — | |
| Alg. 1Model=Neural Network, Learning mode=Batch, epsilon=1/sqrt(m)2023.06 | 0.189 | 0.373 | — | — | |
| Alg. 2Model architecture=Linear model, Learning protocol=Online learning2023.06 | — | — | 0.749 | 0.803 | |
| OGDModel architecture=Linear model, Learning protocol=Online learning2023.06 | — | — | 0.738 | 0.893 |