Scaling Semi-supervised Naive Bayes with Feature Marginals.
Michael LucasDoug DowneyPublished in: ACL (1) (2013)
Keyphrases
- naive bayes
- semi supervised
- decision trees
- classification accuracy
- text classification
- logistic regression
- naive bayes classifier
- training data
- text categorization
- classification algorithm
- uci datasets
- uci data sets
- bayesian networks
- feature set
- cost sensitive
- semi supervised learning
- naive bayesian classifier
- multi view
- text classifiers
- co training
- feature vectors
- test instances
- feature selection
- graphical models
- averaged one dependence estimators
- naive bayes classification
- labeled data
- independence assumption
- belief propagation
- probabilistic classifiers
- locally weighted
- bayesian network classifiers
- probability distribution
- bayesian classifier
- message passing
- unlabeled data
- probabilistic model
- knn
- active learning
- pairwise
- neural network
- joint distribution
- feature subset