Imbalanced Deep Learning by Minority Class Incremental Rectification.
Qi DongShaogang GongXiatian ZhuPublished in: CoRR (2018)
Keyphrases
- deep learning
- minority class
- class imbalance
- imbalanced datasets
- imbalanced data
- class distribution
- classification error
- imbalanced data sets
- unsupervised learning
- nearest neighbour
- machine learning
- cost sensitive learning
- support vector machine
- decision boundary
- class imbalanced
- training data
- imbalanced class distribution
- original data
- ensemble learning
- training set
- training dataset
- active learning
- sampling methods
- cost sensitive
- mental models
- feature selection
- object recognition
- reinforcement learning
- ensemble methods
- high dimensionality
- test set
- high dimensional
- pairwise
- pattern recognition
- decision trees