Global reliable data generation for imbalanced binary classification with latent codes reconstruction and feature repulsion.
Xin JiaXin GaoWenli ChenYingying ChengZhihang MengBing XueZijian HuangShiyuan FuPublished in: Appl. Intell. (2023)
Keyphrases
- binary classification
- data generation
- class imbalance
- binary classification problems
- active learning
- multi class
- cost sensitive
- learning problems
- support vector
- multi label
- generalization error
- class distribution
- prediction accuracy
- data streams
- support vector machine
- ensemble methods
- machine learning
- streaming data
- feature vectors
- image features
- co training
- supervised learning
- upper bound
- high throughput
- training samples
- model selection
- principal component analysis
- high resolution