Research map / Probabilistic and scientific modeling / Uncertainty and Gaussian processes
Spectral Mixture Kernels for Multi-Output Gaussian Processes
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use MOSM instead of CSM | Multi-output GP · Synthetic reference, derivative, and delayed signals | MAE: Reference: 0.148 $\pm$ 0.010 -> 0.127 $\pm$ 0.011; Derivative: 0.262 $\pm$ 0.032 -> 0.223 $\pm$ 0.015; Delayed: 0.368 $\ | Helped |
| Use MOSM instead of the strongest baseline | Climate sensor imputation · Cambermet and Chimet failures | MAE: Cambermet: 0.084 $\pm$ 0.004 -> 0.097 $\pm$ 0.006; Chimet: 0.129 $\pm$ 0.004 -> 0.137 $\pm$ 0.007 | Hurt |
| Use MOSM instead of the strongest baseline | Climate sensor imputation · Sotonmet and Bramblemet failures | MAE: Sotonmet: 0.195 $\pm$ 0.011 -> 0.162 $\pm$ 0.011; Bramblemet: 0.130 $\pm$ 0.004 -> 0.129 $\pm$ 0.003 | Helped |
| Use MOSM instead of CONV | Jura heavy-metal estimation · Cadmium | MAE: 0.443 $\pm$ 0.006 -> 0.43 $\pm$ 0.01 | Helped |
| Use MOSM instead of SM-LMC | Jura heavy-metal estimation · Copper | MAE: 7.0 $\pm$ 0.1 -> 7.3 $\pm$ 0.1 | Hurt |
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