Model selection with bootstrap validation.
Rafael SavvidesJarmo MäkeläKai PuolamäkiPublished in: Stat. Anal. Data Min. (2023)
Keyphrases
- model selection
- cross validation
- hypothesis tests
- bayesian learning
- sample size
- hyperparameters
- variable selection
- machine learning
- error estimation
- statistical learning
- regression model
- generalization error
- parameter estimation
- motion segmentation
- feature selection
- bayesian methods
- meta learning
- selection criterion
- mixture model
- gaussian process
- leave one out cross validation
- marginal likelihood
- model selection criteria
- density estimation
- bayesian information criterion
- information criterion