Minority Class Oriented Active Learning for Imbalanced Datasets.
Umang AggarwalAdrian PopescuCéline HudelotPublished in: CoRR (2022)
Keyphrases
- imbalanced datasets
- active learning
- class imbalance
- minority class
- imbalanced class distribution
- rare class
- cost sensitive learning
- majority class
- class distribution
- imbalanced data
- sampling methods
- ensemble methods
- cost sensitive
- training set
- random sampling
- training examples
- decision trees
- binary classification
- training dataset
- unlabeled data
- semi supervised
- classification error
- machine learning
- imbalanced data sets
- supervised learning
- training data
- learning algorithm
- misclassification costs
- support vector machine
- generalization error
- learning models
- original data
- test data
- benchmark datasets
- labeled data
- highly skewed
- learning process