A PSO-based framework for dynamic SVM model selection.
Marcelo N. KappRobert SabourinPatrick MaupinPublished in: GECCO (2009)
Keyphrases
- model selection
- cross validation
- statistical inference
- support vector
- sample size
- regression model
- machine learning
- feature selection
- statistical learning
- hyperparameters
- support vector machine svm
- learning machines
- bayesian learning
- selection criterion
- error estimation
- bayesian model selection
- variable selection
- gaussian process
- feature space
- least squares
- support vector machine
- training set
- bayesian methods
- statistical learning theory
- marginal likelihood
- parameter determination