The Influence of a Classifiers' Diversity on the Quality of Weighted Aging Ensemble.
Michal WozniakPiotr CalBoguslaw CyganekPublished in: ACIIDS (2) (2014)
Keyphrases
- classifier ensemble
- majority vote
- diversity measures
- mining concept drifting data streams
- ensemble learning
- ensemble classifier
- training data
- ensemble members
- high quality
- decision trees
- multiple classifiers
- majority voting
- feature selection
- ensemble methods
- neural network
- ensemble pruning
- final classification
- training set
- combining classifiers
- randomized trees
- support vector
- individual classifiers
- multiple classifier systems
- decision tree classifiers
- concept drifting data streams
- weighted voting
- data sets
- machine learning algorithms
- feature subset
- accurate classifiers
- naive bayes
- classifier combination
- svm classifier
- publicly available data sets
- roc curve
- random forests
- bias variance decomposition
- base classifiers