Combining attributes to improve the performance of Naive Bayes for Regression.
Aloísio Carlos de PinaGerson ZaveruchaPublished in: IJCNN (2008)
Keyphrases
- naive bayes
- locally weighted
- decision trees
- attribute dependencies
- classification accuracy
- text classification
- bayesian networks
- logistic regression
- combining classifiers
- training data
- averaged one dependence estimators
- text categorization
- regression model
- probabilistic classifiers
- bayesian network classifiers
- independence assumption
- uci datasets
- naive bayes classifier
- base classifiers
- classification algorithm
- naive bayesian classifier
- nominal attributes
- neural network
- naive bayes classification
- test instances
- information extraction
- support vector
- feature selection
- augmented naive bayes
- bayesian classifiers
- bayesian classifier
- text classifiers
- linear regression