Objective cost-sensitive-boosting-WELM for handling multi class imbalance problem.
Zhen LiuDeyu TangJincheng LiRuoyu WangPublished in: IJCNN (2017)
Keyphrases
- class imbalance
- cost sensitive boosting
- class distribution
- cost sensitive
- active learning
- binary classification
- cost sensitive learning
- multi instance
- high dimensionality
- feature selection
- imbalanced data
- misclassification costs
- sampling methods
- training data
- concept drift
- training set
- multi class problems
- boosting algorithms
- minority class
- data sets
- training samples
- pairwise
- machine learning