Learning Naive Bayes for Probability Estimation by Feature Selection.
Liangxiao JiangHarry ZhangPublished in: Canadian Conference on AI (2006)
Keyphrases
- naive bayes
- probability estimation
- feature selection
- decision trees
- classification accuracy
- text categorization
- text classification
- bayesian network classifiers
- naive bayes classifier
- logistic regression
- information gain
- training data
- probability estimates
- conditional independence assumption
- multi class
- bayesian networks
- unsupervised learning
- supervised learning
- learning algorithm
- classification algorithm
- learning tasks
- learning problems
- base classifiers
- multi class classification
- active learning
- semi supervised learning
- bayesian classifier
- classification trees
- feature extraction