Imbalanced Deep Learning by Minority Class Incremental Rectification.
Qi DongShaogang GongXiatian ZhuPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2019)
Keyphrases
- deep learning
- minority class
- class imbalance
- class distribution
- imbalanced data
- imbalanced datasets
- classification error
- imbalanced data sets
- cost sensitive learning
- nearest neighbour
- decision boundary
- unsupervised learning
- machine learning
- class imbalanced
- support vector machine
- sampling methods
- imbalanced class distribution
- training dataset
- original data
- mental models
- cost sensitive
- ensemble learning
- training set
- concept drift
- base learners
- ensemble methods
- active learning
- data sets
- test set
- feature selection