Generating ensembles of heterogeneous classifiers using Stacked Generalization.
M. Paz Sesmero LorenteAgapito LedezmaAraceli SanchisPublished in: WIREs Data Mining Knowl. Discov. (2015)
Keyphrases
- ensemble learning
- decision trees
- learning machines
- diversity measures
- weighted voting
- ensemble classifier
- classifier ensemble
- multiple classifier systems
- support vector
- imbalanced data
- training data
- ensemble methods
- test set
- feature ranking
- training set
- feature selection
- class labels
- classification algorithm
- majority voting
- base classifiers
- combining classifiers
- linear classifiers
- multiple classifiers
- pac bayes
- decision stumps
- classification models
- machine learning methods
- trained classifiers
- classifier fusion
- ensemble members
- meta learning
- binary classifiers
- classification systems
- data sets
- random forests
- svm classifier
- training examples
- feature set
- learning algorithm