An information-theoretic filter approach for value weighted classification learning in naive Bayes.
Chang-Hwan LeePublished in: Data Knowl. Eng. (2018)
Keyphrases
- information theoretic
- naive bayes
- classification accuracy
- decision trees
- text classification
- augmented naive bayes
- naive bayes classifier
- mutual information
- bayesian network classifiers
- classification algorithm
- logistic regression
- feature selection
- information bottleneck
- supervised learning
- probabilistic classifiers
- locally weighted
- tree augmented naive bayes
- conditional independence assumption
- learning algorithm
- unsupervised learning
- support vector
- text categorization
- pattern recognition
- text classifiers
- feature space
- bayesian classifier
- data sets
- naive bayesian classifier
- support vector machine
- image classification
- prior knowledge
- feature vectors
- discriminative learning
- training set
- probability distribution
- co training