Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data.
Shenwang JiangJianan LiYing WangBo HuangZhang ZhangTingfa XuPublished in: CoRR (2022)
Keyphrases
- imbalanced data
- class distribution
- learning from imbalanced data
- linear regression
- ensemble methods
- imbalanced datasets
- feature selection
- decision trees
- sampling methods
- class imbalance
- random forest
- classification models
- support vector machine
- ensemble classifier
- sample size
- base classifiers
- random sampling
- roc curve
- cost sensitive
- support vector
- similarity measure