A general framework for adaptive two-index fusion attribute weighted naive Bayes.
Xiaoliang ZhouDongyang WuZitong YouLi ZhangNing YePublished in: CoRR (2022)
Keyphrases
- naive bayes
- augmented naive bayes
- decision trees
- classification accuracy
- logistic regression
- text classification
- naive bayes classifier
- text categorization
- training data
- probability estimation
- cost sensitive
- uci datasets
- bayesian networks
- test instances
- naive bayesian classifier
- classification algorithm
- naive bayes classification
- attribute dependencies
- naive bayes models
- information gain
- base classifiers
- feature selection
- independence assumption
- locally weighted
- averaged one dependence estimators
- bayesian classifier
- neural network
- conditional independence assumption
- uci data sets
- bayesian network classifiers
- text classifiers
- nominal attributes
- classifier combination
- continuous attributes
- boosted decision trees
- data sets
- fusion method