Active Learning for Imbalanced Datasets.
Umang AggarwalAdrian PopescuCéline HudelotPublished in: WACV (2020)
Keyphrases
- imbalanced datasets
- active learning
- class imbalance
- rare class
- cost sensitive learning
- imbalanced class distribution
- learning from imbalanced data
- class distribution
- cost sensitive
- sampling methods
- random sampling
- ensemble methods
- learning algorithm
- imbalanced data
- unlabeled data
- decision trees
- training set
- training dataset
- supervised learning
- binary classification
- machine learning
- training examples
- learning process
- minority class
- feature selection algorithms
- semi supervised
- labeled data
- training data
- semi supervised learning
- generalization error
- support vector machine
- classification accuracy
- machine learning algorithms
- data streams
- feature selection