Model selection for support vector machine classification.
Carl GoldPeter SollichPublished in: Neurocomputing (2003)
Keyphrases
- model selection
- support vector machine classification
- cross validation
- privacy preserving
- parameter estimation
- sample size
- hyperparameters
- bayesian learning
- regression model
- machine learning
- marginal likelihood
- error estimation
- selection criterion
- statistical inference
- mixture model
- feature selection
- variable selection
- model selection criteria
- generalization error
- unsupervised learning
- bayesian information criterion
- automatic model selection
- image classification
- feature extraction
- bayesian model selection