Ensembles of Classifiers Based on Approximate Reducts.
Jakub WroblewskiPublished in: Fundam. Informaticae (2001)
Keyphrases
- ensemble learning
- decision trees
- weighted voting
- ensemble classifier
- classifier ensemble
- rough sets
- multiple classifier systems
- diversity measures
- greedy algorithm
- combining classifiers
- linear classifiers
- rough set theory
- decision rules
- training data
- majority voting
- naive bayes
- support vector
- imbalanced data
- trained classifiers
- decision table
- ensemble members
- decision stumps
- classification systems
- feature set
- machine learning algorithms
- test set
- classification algorithm
- multiple classifiers
- class labels
- training set
- individual classifiers
- machine learning methods
- attribute reduction
- ensemble methods
- base classifiers
- feature selection
- concept drift
- rough sets theory
- supervised classification
- knn