Evolving Classifiers Ensembles with Heterogeneous Predictors.
Pier Luca LanziDaniele LoiaconoMatteo ZaniniPublished in: IWLCS (2007)
Keyphrases
- decision trees
- ensemble learning
- classifier ensemble
- ensemble classifier
- ensemble members
- weighted voting
- neural network ensemble
- combining classifiers
- multiple classifier systems
- diversity measures
- support vector
- imbalanced data
- training data
- decision stumps
- classification algorithm
- ensemble methods
- training set
- feature selection
- trained classifiers
- feature ranking
- test set
- supervised classification
- linear classifiers
- naive bayes
- training examples
- classification systems
- classification method
- training samples
- machine learning
- base classifiers
- data streams
- classification accuracy
- multi class
- feature set
- classifier fusion
- individual classifiers
- classifier combination
- majority voting
- class labels
- classification trees
- machine learning methods
- binary classifiers
- classification rate