Parameter Estimation on Synthetic p=q=500, M=10, High noise
0.08MSE_WSLM-Manifold
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| SLM-ManifoldDimension p=500, Dimension q=500, Latent variables M=10, Rank r=5, Sample size N=2000, Noise level=High, Evaluation protocol=5-fold outer CV2026.05 | 0.08 | 0.06 | 8.17 | 11.1 | 17.22 | |
| BCD-SLMDimension p=500, Dimension q=500, Latent variables M=10, Rank r=5, Sample size N=2000, Noise level=High, Evaluation protocol=5-fold outer CV2026.05 | 0.08 | 0.06 | 8.09 | 11.1 | 17.19 | |
| EMDimension p=500, Dimension q=500, Latent variables M=10, Rank r=5, Sample size N=2000, Noise level=High, Evaluation protocol=5-fold outer CV2026.05 | 0.08 | 0.07 | 11.81 | 11.01 | 5.31 | |
| ECMDimension p=500, Dimension q=500, Latent variables M=10, Rank r=5, Sample size N=2000, Noise level=High, Evaluation protocol=5-fold outer CV2026.05 | 0.08 | 0.06 | 10.55 | 9.33 | 5.16 | |
| SLM-InteriorDimension p=500, Dimension q=500, Latent variables M=10, Rank r=5, Sample size N=2000, Noise level=High, Evaluation protocol=5-fold outer CV2026.05 | 0.11 | 0.1 | 5.93 | 9.87 | 17.8 |