Using bayesian networks for selecting classifiers in GP ensembles.
Claudio De StefanoGianluigi FolinoFrancesco FontanellaAlessandra Scotto di FrecaPublished in: GECCO (Companion) (2011)
Keyphrases
- bayesian networks
- probabilistic classifiers
- genetic programming
- naive bayes
- decision trees
- ensemble learning
- ensemble classifier
- combining classifiers
- multiple classifier systems
- imbalanced data
- diversity measures
- weighted voting
- classifier ensemble
- training data
- ensemble methods
- base classifiers
- classification models
- classification systems
- training set
- support vector
- majority voting
- feature set
- training samples
- probability distribution
- probabilistic model
- classifier combination
- multiple classifiers
- ensemble members
- trained classifiers
- feature ranking
- structure learning
- linear classifiers
- conditional independence
- random forests
- generalization ability
- individual classifiers
- data sets
- gradient projection
- decision stumps
- regression problems
- incomplete data
- selection algorithm
- conditional probabilities
- machine learning methods
- classification algorithm
- fitness function
- random variables
- class labels
- graphical models
- high dimensional