Multiple comparison procedures applied to model selection.
Joaquín Pizarro JunqueraElisa Guerrero VázquezPedro L. GalindoPublished in: Neurocomputing (2002)
Keyphrases
- model selection
- cross validation
- parameter estimation
- sample size
- bayesian learning
- hyperparameters
- statistical learning
- mixture model
- variable selection
- automatic model selection
- meta learning
- machine learning
- selection criterion
- regression model
- feature selection
- error estimation
- generalization error
- gaussian process
- real world
- statistical inference
- leave one out cross validation
- information criterion
- motion segmentation
- data mining
- data sets