Enhancing the Ensemble of Exemplar-SVMs for Binary Classification Using Concurrent Selection and Ensemble Learning.
Yaobin QinBingzhe LiDavid J. LiljaPublished in: UEMCON (2018)
Keyphrases
- binary classification
- ensemble learning
- ensemble methods
- support vector
- generalization ability
- base classifiers
- prediction accuracy
- multi class
- decision trees
- multi class classification
- random forest
- majority voting
- benchmark datasets
- ensemble classifier
- machine learning methods
- binary classification problems
- base learners
- cost sensitive
- support vector machine
- learning problems
- binary classifiers
- machine learning
- class imbalance
- machine learning algorithms
- feature selection
- concept drift
- multi label
- unlabeled data
- training set
- reinforcement learning