On Cross Validation for Model Selection.
Isabelle RivalsLéon PersonnazPublished in: Neural Comput. (1999)
Keyphrases
- cross validation
- model selection
- hyperparameters
- variable selection
- parameter estimation
- generalization error
- statistical inference
- machine learning
- sample size
- information criterion
- gaussian process
- meta learning
- error estimation
- model selection criteria
- regression model
- mixture model
- learning machines
- selection criterion
- feature selection
- support vector
- kernel matrix
- data sets