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