Extending version-space theory to multi-label active learning with imbalanced data.
Ran WangShuyue ChenYu YuPublished in: Pattern Recognit. (2023)
Keyphrases
- multi label
- active learning
- imbalanced data
- random forest
- class imbalance
- text categorization
- graph cuts
- binary classification
- text classification
- image classification
- unlabeled data
- feature selection
- class distribution
- training set
- semi supervised learning
- training examples
- class labels
- learning tasks
- learning algorithm
- minority class
- transfer learning
- machine learning
- generalization error
- random sampling
- ensemble methods
- cost sensitive
- labeled data
- learning process
- machine learning methods
- supervised learning
- ensemble classifier
- base learners
- training instances
- prior knowledge