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