Bootstrap for neural model selection.
Riadh KallelMarie CottrellVincent VigneronPublished in: ESANN (2000)
Keyphrases
- model selection
- cross validation
- hypothesis tests
- sample size
- hyperparameters
- statistical learning
- variable selection
- bayesian learning
- generalization error
- mixture model
- error estimation
- parameter estimation
- motion segmentation
- regression model
- machine learning
- selection criterion
- statistical inference
- information criterion
- model selection criteria
- meta learning
- bayesian model selection
- gaussian process
- generalization bounds
- data mining
- training set
- feature selection
- bayesian methods
- marginal likelihood
- parameter determination
- automatic model selection