Bootstrap for neural model selection
Riadh KallelMarie CottrellVincent VigneronPublished in: CoRR (2007)
Keyphrases
- model selection
- cross validation
- hypothesis tests
- sample size
- hyperparameters
- parameter estimation
- machine learning
- bayesian learning
- generalization error
- meta learning
- statistical learning
- variable selection
- leave one out cross validation
- regression model
- information criterion
- bayesian information criterion
- statistical inference
- motion segmentation
- feature selection
- model selection criteria
- gaussian process
- confidence intervals
- marginal likelihood
- mixture model
- selection criterion
- bayesian methods
- graphical models
- automatic model selection