Vote-boosting ensembles.
Maryam SabzevariGonzalo Martínez-MuñozAlberto SuárezPublished in: CoRR (2016)
Keyphrases
- ensemble methods
- ensemble learning
- base classifiers
- voting schemes
- decision stumps
- multiple classifier systems
- decision tree ensembles
- ensemble classifier
- random forests
- base learners
- decision trees
- prediction accuracy
- multi class
- weak learners
- generalization ability
- weighted voting
- random forest
- negative correlation learning
- machine learning methods
- benchmark datasets
- learning algorithm
- cost sensitive
- boosting algorithms
- naive bayes
- logistic regression
- machine learning algorithms
- classifier ensemble
- majority voting
- special case
- support vector
- combining classifiers
- machine learning
- neural network
- data sets