Bootstrap for neural model selection.
Riadh KallelMarie CottrellVincent VigneronPublished in: Neurocomputing (2002)
Keyphrases
- model selection
- cross validation
- hypothesis tests
- hyperparameters
- sample size
- bayesian learning
- parameter estimation
- regression model
- generalization error
- mixture model
- variable selection
- machine learning
- meta learning
- statistical learning
- statistical inference
- model selection criteria
- feature selection
- motion segmentation
- bayesian methods
- error estimation
- leave one out cross validation
- information criterion
- gaussian process
- gaussian mixture model
- mutual information
- confidence intervals
- closed form
- marginal likelihood
- image segmentation
- parameter determination