Active Sample Selection Through Sparse Neighborhood for Imbalanced Datasets.
Ping GuZhao LingSi Yu ShaoMeng ZhouPublished in: ISCC (2019)
Keyphrases
- imbalanced datasets
- sample selection
- active learning
- class imbalance
- cost sensitive learning
- training data
- class distribution
- decision trees
- support vector machine
- training dataset
- ensemble methods
- sampling methods
- feature selection algorithms
- selection strategy
- cost sensitive
- imbalanced data
- binary classification
- high dimensional
- feature selection
- learning algorithm
- machine learning
- test set
- prediction accuracy
- supervised learning
- meta learning
- learning process
- minority class