Noise sensitivity signatures for model selection.
Tal GrossmanAlan S. LapedesPublished in: ICPR (2) (1994)
Keyphrases
- model selection
- noise sensitivity
- cross validation
- hyperparameters
- bayesian learning
- parameter estimation
- regression model
- mixture model
- sample size
- machine learning
- model selection criteria
- feature selection
- gaussian process
- variable selection
- selection criterion
- generalization error
- statistical inference
- marginal likelihood
- feature space
- bayesian information criterion
- gaussian mixture model
- automatic model selection