New Formulation of SVM for Model Selection.
Mathias M. AdankonMohamed CherietPublished in: IJCNN (2006)
Keyphrases
- model selection
- feature selection
- selection criterion
- cross validation
- support vector machine svm
- support vector
- learning machines
- machine learning
- statistical learning
- hyperparameters
- regression model
- support vector machine
- bayesian learning
- parameter estimation
- sample size
- generalization error
- knn
- grid search
- error estimation
- marginal likelihood
- model selection criteria
- statistical learning theory
- svm classifier
- generalization bounds
- mixture model
- kernel matrix
- bayesian model selection
- statistical inference
- decision trees
- information criterion
- support vectors
- training data
- feature vectors
- generalization ability
- kernel function
- bayesian methods
- ls svm
- gaussian process
- bayesian information criterion
- leave one out cross validation
- latent variables
- kernel methods
- parameter determination
- least squares