Adaptive Uncertainty-Penalized Model Selection for Data-Driven PDE Discovery.
Pongpisit ThanasutivesTakashi MoritaMasayuki NumaoKen-ichi FukuiPublished in: IEEE Access (2024)
Keyphrases
- model selection
- data driven
- cross validation
- hyperparameters
- parameter estimation
- bayesian learning
- regression model
- meta learning
- motion segmentation
- statistical learning
- sample size
- variable selection
- mixture model
- partial differential equations
- machine learning
- statistical inference
- feature selection
- selection criterion
- data mining
- error estimation
- bayesian model selection
- bayesian methods
- adaptive filtering
- information criterion
- marginal likelihood
- model selection criteria
- generalization error
- gaussian process
- missing data
- parameter determination