Neural Model Selection: How to Determine the Fittest Criterion?
Morgan MangeasPublished in: ICANN (1997)
Keyphrases
- model selection
- model selection criteria
- selection criterion
- cross validation
- marginal likelihood
- feature selection
- parameter estimation
- bayesian learning
- information criterion
- sample size
- hyperparameters
- machine learning
- mixture model
- bayesian information criterion
- variable selection
- statistical learning
- generalization error
- regression model
- error estimation
- meta learning
- statistical inference
- leave one out cross validation
- gaussian process
- automatic model selection
- multivariate regression
- bayesian methods
- bayesian networks
- real world
- motion segmentation
- parameter determination
- training data
- subspace information criterion