Stochastic optimization for bayesian network classifiers.
Yi RenLiMin WangXiongFei LiMeng PangJunYang WeiPublished in: Appl. Intell. (2022)
Keyphrases
- stochastic optimization
- bayesian network classifiers
- multistage
- bayesian networks
- discriminative learning
- naive bayes
- benchmark data sets
- classification accuracy
- structure learning
- naive bayes classifier
- knn
- feature selection
- class imbalance
- robust optimization
- parameter learning
- logistic regression
- continuous variables
- variable selection
- pattern classification
- data sets