A Max-Relevance-Min-Divergence criterion for data discretization with applications on naive Bayes.
Shihe WangJianfeng RenRuibin BaiYuan YaoXudong JiangPublished in: Pattern Recognit. (2024)
Keyphrases
- naive bayes
- training data
- bayesian networks
- data analysis
- prior knowledge
- logistic regression
- data sets
- decision trees
- attribute dependencies
- classification accuracy
- naive bayes classifier
- information retrieval
- probability estimation
- feature selection
- text categorization
- generative model
- noisy data
- text classifiers
- text classification
- knowledge discovery
- independence assumption
- uci datasets