Optimizing resources in model selection for support vector machine.
Mathias M. AdankonMohamed CherietPublished in: Pattern Recognit. (2007)
Keyphrases
- model selection
- support vector machine
- cross validation
- feature selection
- hyperparameters
- statistical learning
- mixture model
- sample size
- machine learning
- bayesian learning
- parameter estimation
- regression model
- learning machines
- meta learning
- statistical inference
- support vector
- motion segmentation
- gaussian process
- generalization error
- variable selection
- model selection criteria
- selection criterion
- generalization ability
- svm classifier
- mutual information
- parameter selection
- error estimation
- marginal likelihood
- kernel methods
- support vector machine svm
- graphical models
- knn
- feature vectors
- training set
- leave one out cross validation
- feature extraction