Accuracy and diversity in classifier selection for one-class classification ensembles.
Bartosz KrawczykMichal WozniakPublished in: CIEL (2013)
Keyphrases
- ensemble members
- classifier ensemble
- diversity measures
- decision trees
- multiple classifier systems
- ensemble methods
- fold cross validation
- high accuracy
- random selection
- individual classifiers
- ensemble learning
- ensemble selection
- classification rate
- confusion matrix
- prediction accuracy
- learning algorithm
- classification accuracy
- selection scheme
- feature space
- generalization error
- density estimation
- error rate
- multi class
- training set
- higher classification accuracy
- combining classifiers
- weighted voting
- binary classifiers
- single class
- unseen data
- selection criterion
- ensemble classifier
- novelty detection
- training data
- feature selection