Keyphrases
- model selection
- vc dimension
- feature selection
- selection criterion
- sample size
- support vector machine svm
- cross validation
- generalization bounds
- learning machines
- support vector
- statistical learning theory
- support vector machine
- upper bound
- machine learning
- hyperparameters
- parameter estimation
- knn
- bayesian learning
- mixture model
- statistical learning
- grid search
- lower bound
- regression model
- error estimation
- model selection criteria
- statistical inference
- marginal likelihood
- variable selection
- generalization error
- gaussian process
- information criterion
- worst case
- multi class
- feature vectors
- training data
- support vectors
- automatic model selection
- training set
- svm classifier
- kernel function