Combining heterogeneous classifiers via granular prototypes.
Tien Thanh NguyenMai Phuong NguyenXuan Cuong PhamAlan Wee-Chung LiewWitold PedryczPublished in: Appl. Soft Comput. (2018)
Keyphrases
- training set
- training data
- combining classifiers
- training samples
- decision trees
- support vector
- test set
- feature selection
- multiple classifier systems
- linear classifiers
- rough sets
- machine learning algorithms
- classifier combination
- classifier ensemble
- classification systems
- classification rate
- classification models
- fuzzy sets
- naive bayes
- rough set theory
- supervised classification
- machine learning approaches
- machine learning methods
- class labels
- granular computing
- binary classifiers
- individual classifiers
- classification accuracy
- decision tree classifiers
- neural network