A Bayesian Approach for Combining Ensembles of GP Classifiers.
Claudio De StefanoFrancesco FontanellaGianluigi FolinoAlessandra Scotto di FrecaPublished in: MCS (2011)
Keyphrases
- combining classifiers
- multiple classifier systems
- genetic programming
- decision trees
- ensemble learning
- weighted voting
- classifier ensemble
- ensemble classifier
- multiple classifiers
- ensemble methods
- classifier combination
- majority voting
- classifier fusion
- combining multiple
- support vector
- diversity measures
- training set
- classification systems
- imbalanced data
- class labels
- ensemble members
- machine learning algorithms
- naive bayes
- feature ranking
- machine learning methods
- feature selection
- training data
- test set
- base classifiers
- decision stumps
- random forests
- gradient projection
- weak classifiers
- meta learning
- machine learning
- classification algorithm
- prediction accuracy
- training examples
- learning algorithm