Stability-Based Model Selection.
Tilman LangeMikio L. BraunVolker RothJoachim M. BuhmannPublished in: NIPS (2002)
Keyphrases
- model selection
- cross validation
- hyperparameters
- bayesian learning
- parameter estimation
- sample size
- mixture model
- statistical learning
- regression model
- variable selection
- selection criterion
- gaussian process
- information criterion
- error estimation
- generalization error
- leave one out cross validation
- feature selection
- marginal likelihood
- model selection criteria
- motion segmentation
- machine learning
- parameter determination
- generalization bounds
- meta learning
- prior information
- bayesian networks
- multivariate regression