Information Theory and Classification Error in Probabilistic Classifiers.
Aritz Pérez MartínezPedro LarrañagaIñaki InzaPublished in: Discovery Science (2006)
Keyphrases
- classification error
- information theory
- probabilistic classifiers
- naive bayes classifier
- information theoretic
- naive bayes
- training set
- base classifiers
- class labels
- decision rules
- training samples
- generalization error
- bayesian networks
- mutual information
- text categorization
- estimation error
- text classification
- data mining
- pattern recognition
- support vector
- training data
- learning algorithm