Measuring Impact of Diversity of Classifiers on the Accuracy of Evidential Ensemble Classifiers.
Yaxin BiShengli WuPublished in: IPMU (1) (2010)
Keyphrases
- ensemble classifier
- classifier ensemble
- individual classifiers
- ensemble classification
- ensemble learning
- majority voting
- ensemble methods
- classification models
- prediction accuracy
- fusion method
- random forest
- base classifiers
- support vector machine
- concept drift
- preprocessing step
- multiple classifier systems
- feature selection
- classification accuracy
- training set
- decision trees
- change detection
- learning algorithm
- machine learning algorithms
- generalization ability
- training examples
- support vector