Extract minimum positive and maximum negative features for imbalanced binary classification.
Jinghua WangJane YouQin LiYong XuPublished in: Pattern Recognit. (2012)
Keyphrases
- binary classification
- positive and negative
- multi class
- negative examples
- binary classification problems
- class imbalance
- feature extraction
- multi class classification
- learning problems
- multi label
- prediction accuracy
- graph cuts
- feature set
- active learning
- feature vectors
- support vector
- machine learning
- labeled data
- classification accuracy
- single class