Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE Discovery.
Pongpisit ThanasutivesTakashi MoritaMasayuki NumaoKen-ichi FukuiPublished in: CoRR (2023)
Keyphrases
- model selection
- data driven
- cross validation
- hyperparameters
- statistical learning
- bayesian learning
- parameter estimation
- regression model
- model selection criteria
- error estimation
- generalization error
- information criterion
- machine learning
- mixture model
- sample size
- meta learning
- feature selection
- partial differential equations
- variable selection
- generalization bounds
- marginal likelihood
- statistical inference
- motion segmentation
- image denoising
- gaussian process
- leave one out cross validation
- automatic model selection
- confidence intervals
- selection criterion
- parameter determination