Towards Class-Imbalance Aware Multi-Label Learning.
Min-Ling ZhangYu-Kun LiHao YangXu-Ying LiuPublished in: IEEE Trans. Cybern. (2022)
Keyphrases
- class imbalance
- multi label learning
- multi label
- class distribution
- active learning
- cost sensitive
- labeled data
- unlabeled data
- feature selection
- semi supervised
- imbalanced datasets
- concept drift
- binary classification
- text categorization
- high dimensionality
- minority class
- semi supervised learning
- base learners
- learning tasks
- image classification
- multiple labels
- test set
- training examples
- training samples
- multi class
- training data
- decision trees