Model Selection and Error Estimation.
Peter L. BartlettStéphane BoucheronGábor LugosiPublished in: Mach. Learn. (2002)
Keyphrases
- error estimation
- model selection
- cross validation
- hyperparameters
- sample size
- statistical learning
- bayesian learning
- parameter estimation
- regression model
- generalization error
- variable selection
- error estimates
- meta learning
- machine learning
- mixture model
- feature selection
- selection criterion
- statistical inference
- marginal likelihood
- leave one out cross validation
- motion segmentation
- information criterion
- bayesian model selection
- gaussian process
- learning algorithm
- bayesian information criterion
- data sets
- model selection criteria