Entropy-based fuzzy support vector machine for imbalanced datasets.
Qi FanZhe WangDongdong LiDaqi GaoHongyuan ZhaPublished in: Knowl. Based Syst. (2017)
Keyphrases
- imbalanced datasets
- fuzzy support vector machine
- cost sensitive learning
- learning from imbalanced data
- class distribution
- class imbalance
- training dataset
- decision trees
- imbalanced data
- ensemble methods
- feature selection algorithms
- support vector machine
- sampling methods
- cost sensitive
- benchmark datasets
- feature selection
- machine learning
- misclassification costs
- test set
- unlabeled data