Fast model selection for MaxMinOver-based training of support vector machines.
Fabian TimmSascha KlementThomas MartinetzPublished in: ICPR (2008)
Keyphrases
- model selection
- learning machines
- cross validation
- support vector
- hyperparameters
- bayesian learning
- sample size
- generalization error
- mixture model
- covariate shift
- feature selection
- parameter estimation
- machine learning
- statistical learning
- error estimation
- statistical inference
- regression model
- bayesian methods
- model selection criteria
- gaussian process
- variable selection
- information criterion
- marginal likelihood
- selection criterion
- kernel machines
- generalization bounds
- grid search
- automatic model selection
- bayesian information criterion
- leave one out cross validation
- support vector machine
- classification accuracy
- bayesian model selection