Cal-Net: Jointly Learning Classification and Calibration On Imbalanced Binary Classification Tasks.
Arghya DattaNoah R. FlynnS. Joshua SwamidassPublished in: IJCNN (2021)
Keyphrases
- supervised learning
- learning algorithm
- learning problems
- learning process
- classification accuracy
- graph cuts
- machine learning
- active learning
- feature selection
- maximum likelihood
- unsupervised learning
- class imbalance
- multi task learning
- support vector
- similarity measure
- support vector machine
- higher order
- learning tasks
- classification models