Feature Selection by Bayesian Networks.
Estevam R. Hruschka Jr.Eduardo R. HruschkaNelson F. F. EbeckenPublished in: Canadian Conference on AI (2004)
Keyphrases
- bayesian networks
- feature selection
- markov blanket
- naive bayes
- text categorization
- mutual information
- learning bayesian networks
- probability distribution
- feature subset
- feature selection algorithms
- classification accuracy
- feature set
- feature space
- support vector
- conditional independence
- graphical models
- expert knowledge
- selected features
- irrelevant features
- unsupervised learning
- multi class
- unsupervised feature selection
- inference in bayesian networks
- machine learning
- method for feature selection
- discriminative features
- feature weighting
- data sets
- probabilistic model
- information gain
- probabilistic inference
- text classification
- hidden variables
- small sample
- data mining
- forward selection
- knn
- high dimensionality
- gene expression data
- bayesian network classifiers
- conditional probabilities
- structure learning
- ensemble learning
- markov networks
- approximate inference