MSEBAG: a dynamic classifier ensemble generation based on 'minimum-sufficient ensemble' and bagging.
Lei ChenMohamed S. KamelPublished in: Int. J. Syst. Sci. (2016)
Keyphrases
- classifier ensemble
- ensemble methods
- base classifiers
- class label noise
- concept drifting data streams
- majority voting
- named entity recognition
- classifier fusion
- classifier combination
- ensemble learning
- individual classifiers
- benchmark datasets
- classification algorithm
- machine learning methods
- prediction accuracy
- naive bayes
- generalization ability
- ensemble classifier
- machine learning
- ensemble members
- neural network
- weighted majority voting
- training set
- classification accuracy
- data sets