Optimal selection of ensemble classifiers using particle swarm optimization and diversity measures.
Hesam HasanpourRamak Ghavamizadeh MeibodiKeivan NaviPublished in: Intell. Decis. Technol. (2019)
Keyphrases
- optimal selection
- ensemble classifier
- diversity measures
- ensemble learning
- concept drift
- random forest
- classifier ensemble
- majority voting
- support vector machine
- ensemble methods
- classification models
- fusion method
- base classifiers
- feature selection
- decision trees
- preprocessing step
- machine learning
- multi class
- weak classifiers
- active learning
- preprocessing
- data streams
- feature extraction