Keyphrases
- generalization error
- linear classifiers
- training data
- training set
- training error
- learning algorithm
- leave one out cross validation
- cross validation
- model selection
- active learning
- bayes optimal
- training and test sets
- binary classification
- upper bound
- classification error
- training set size
- sample size
- supervised learning
- sample complexity
- generalization error bounds
- naive bayes
- target function
- text classification
- weak classifiers
- text categorization
- training samples
- support vector
- binary classifiers
- machine learning
- feature space
- data sets
- class labels
- feature selection
- training examples
- multi class
- boosting algorithms
- conditional expectation
- risk minimization
- decision trees
- training process
- naive bayes classifier
- query by committee
- classification accuracy
- subspace information criterion
- unlabeled data
- adaboost algorithm
- loss function
- classification algorithm
- test data