Constrained domain maximum likelihood estimation for naive Bayes text classification.
Jesús Andrés-FerrerAlfons JuanPublished in: Pattern Anal. Appl. (2010)
Keyphrases
- text classification
- naive bayes
- maximum likelihood estimation
- naive bayes classifier
- text categorization
- maximum likelihood
- em algorithm
- logistic regression
- text classifiers
- feature selection
- text mining
- labeled data
- machine learning
- expectation maximization
- transfer learning
- density function
- cost sensitive
- decision trees
- probability distribution
- parameter estimation
- probability estimates
- k nearest neighbor
- knn
- semantic features
- bayesian network classifiers
- conditional independence assumption
- base classifiers
- natural language processing
- classification accuracy
- image processing
- class probabilities
- averaged one dependence estimators