Using uncertainty as a model selection and comparison criterion.
Salvatore Alessandro SarciàVictor R. BasiliGiovanni CantonePublished in: PROMISE (2009)
Keyphrases
- model selection
- selection criterion
- model selection criteria
- cross validation
- marginal likelihood
- hyperparameters
- information criterion
- bayesian learning
- bayesian information criterion
- feature selection
- parameter estimation
- sample size
- statistical learning
- meta learning
- error estimation
- variable selection
- regression model
- mixture model
- statistical inference
- machine learning
- motion segmentation
- parameter determination
- real world
- automatic model selection
- leave one out cross validation
- gaussian process
- generalization error
- naive bayes