Keyphrases
- support vector
- training set
- decision boundary
- training data
- test set
- feature selection
- linear classifiers
- kernel machines
- boosting algorithms
- svm classifier
- maximal margin
- data dependent
- classification algorithm
- training samples
- rademacher complexity
- maximum margin
- empirical risk minimization
- learning algorithm
- supervised classification
- regularization parameter
- ensemble learning
- classification method
- training examples
- feature set
- decision trees
- roc curve
- generalization error
- classification rate
- classification models
- machine learning methods
- naive bayes
- support vector machine
- risk bounds
- data sets