Variable Selection for Naive Bayes Semisupervised Learning.
Byoung-Jeong ChoiKwang-Rae KimKyu-Dong ChoChangyi ParkJa-Yong KooPublished in: Commun. Stat. Simul. Comput. (2014)
Keyphrases
- multi class
- variable selection
- semisupervised learning
- naive bayes
- cost sensitive
- feature selection
- text classification
- text categorization
- decision trees
- naive bayes classifier
- classification accuracy
- logistic regression
- model selection
- unlabeled data
- cross validation
- high dimensional
- co training
- dimension reduction
- training data
- semi supervised learning
- labeled data
- supervised learning
- bayesian network classifiers
- bayesian networks
- logistic regression models
- machine learning
- multi label
- semi supervised
- data sets
- high dimensional data
- unsupervised learning
- support vector
- high dimensionality
- knn
- training set