Greedy optimization classifiers ensemble based on diversity.
Shasha MaoLicheng JiaoLin XiongShuiping GouPublished in: Pattern Recognit. (2011)
Keyphrases
- ensemble pruning
- classifier ensemble
- diversity measures
- ensemble learning
- ensemble members
- feature selection
- training data
- multiple classifiers
- pruning method
- ensemble classifier
- ensemble methods
- majority voting
- training set
- optimization problems
- classification algorithm
- randomized trees
- greedy algorithm
- combining classifiers
- decision trees
- pruning algorithms
- neural network
- classifier combination
- individual classifiers
- accurate classifiers
- majority vote
- weighted voting
- final classification
- pruning algorithm
- training samples
- weak learners
- concept drifting data streams
- base classifiers
- class label noise
- multiple classifier systems
- random forests
- optimization algorithm
- linear support vector machines
- active learning
- text categorization
- naive bayes
- one class support vector machines
- concept drift
- class labels