A Compression Approach to Support Vector Model Selection.
Ulrike von LuxburgOlivier BousquetBernhard SchölkopfPublished in: J. Mach. Learn. Res. (2004)
Keyphrases
- model selection
- cross validation
- support vector
- hyperparameters
- feature selection
- learning machines
- sample size
- error estimation
- parameter estimation
- variable selection
- selection criterion
- bayesian learning
- machine learning
- motion segmentation
- regression model
- logistic regression
- gaussian process
- mixture model
- parameter determination
- marginal likelihood
- generalization error
- leave one out cross validation
- statistical learning
- statistical inference
- kernel function
- svm classifier
- kernel methods
- generalization bounds
- support vector machine
- bayesian methods
- information criterion
- generalization ability
- automatic model selection