Improving the Performance of Bayesian Belief Network Classifiers via Decision Tree Based Feature Selection.
Tatdow PansombutBrent E. HarrisonDennis BahlerNagiza F. SamatovaPublished in: IKE (2010)
Keyphrases
- feature selection
- bayesian belief networks
- feature selection algorithms
- feature set
- support vector
- classification models
- feature subset
- naive bayes
- bayes classifier
- small sample
- selecting relevant features
- belief networks
- text categorization
- machine learning
- feature selection and classifier
- feature ranking
- text classification
- multi class
- irrelevant attributes
- classification performances
- selected features
- probabilistic inference
- bayesian networks
- input features
- classification accuracy
- feature space
- feature extraction
- ensemble classifier
- support vector machine
- decision trees
- feature reduction
- conditional probabilities
- image segmentation
- data sets
- training data
- fold cross validation
- probabilistic model
- microarray data
- high dimensionality
- svm classifier
- small number