Using Bayesian networks for selecting classifiers in GP ensembles.
Claudio De StefanoGianluigi FolinoFrancesco FontanellaAlessandra Scotto di FrecaPublished in: Inf. Sci. (2014)
Keyphrases
- bayesian networks
- probabilistic classifiers
- genetic programming
- decision trees
- naive bayes
- ensemble learning
- diversity measures
- classifier ensemble
- combining classifiers
- weighted voting
- multiple classifier systems
- ensemble classifier
- support vector
- training data
- imbalanced data
- conditional probabilities
- ensemble methods
- base classifiers
- bayesian network classifiers
- classification systems
- incomplete data
- conditional independence
- linear classifiers
- ensemble members
- logistic regression
- individual classifiers
- majority voting
- feature ranking
- feature set
- graphical models
- feature selection
- trained classifiers
- data sets
- machine learning algorithms
- svm classifier
- classifier combination
- machine learning
- fusion methods
- naive bayes classifier
- learning machines
- generalization ability
- random variables
- support vector machine