Model selection for primal SVM.
Gregory M. MooreCharles BergeronKristin P. BennettPublished in: Mach. Learn. (2011)
Keyphrases
- model selection
- support vector
- feature selection
- cross validation
- hyperparameters
- support vector machine svm
- selection criterion
- machine learning
- learning machines
- parameter estimation
- kernel function
- support vector machine
- statistical learning
- regression model
- svm classifier
- bayesian learning
- generalization error
- sample size
- variable selection
- model selection criteria
- mixture model
- knn
- multi class
- feature space
- bayesian information criterion
- error estimation
- training data
- marginal likelihood
- support vectors
- statistical inference
- gaussian process
- grid search
- automatic model selection
- kernel methods
- least squares
- text classification
- objective function
- generalization ability
- parameter determination
- feature set
- bayesian methods
- lower bound
- training set
- kernel machines
- feature vectors
- information criterion
- data mining
- classification accuracy