Metric-Based Methods for Adaptive Model Selection and Regularization.
Dale SchuurmansFinnegan SoutheyPublished in: Mach. Learn. (2002)
Keyphrases
- model selection
- cross validation
- statistical inference
- bayesian methods
- statistical learning
- automatic model selection
- kernel machines
- sample size
- regression model
- mixture model
- parameter estimation
- model selection criteria
- generalization error
- bayesian learning
- support vector
- feature selection
- error estimation
- learning algorithm