Boosting the Discriminant Power of Naive Bayes.
Shihe WangJianfeng RenXiaoyu LianRuibin BaiXudong JiangPublished in: CoRR (2022)
Keyphrases
- naive bayes
- base classifiers
- boosted decision trees
- cost sensitive
- feature selection
- decision trees
- naive bayesian classification
- text classification
- classification accuracy
- logistic regression
- naive bayes classifier
- text categorization
- bayesian classifiers
- training data
- decision tree learning algorithms
- uci data sets
- uci datasets
- classification algorithm
- bayesian networks
- combining classifiers
- text classifiers
- ensemble methods
- ensemble learning
- naive bayesian classifier
- probabilistic classifiers
- test instances
- probability estimation
- classification error
- attribute dependencies
- data sets
- bayesian classifier
- bayesian network classifiers
- augmented naive bayes
- averaged one dependence estimators
- combining multiple
- machine learning
- support vector
- conditional independence assumption
- locally weighted
- labeled data
- naive bayes classification
- low variance
- class distribution