A robust loss function for classification with imbalanced datasets.
Yidan WangLiming YangPublished in: Neurocomputing (2019)
Keyphrases
- loss function
- imbalanced datasets
- support vector
- cost sensitive learning
- class imbalance
- decision trees
- classification accuracy
- learning models
- support vector machine
- class distribution
- imbalanced data
- pairwise
- text classification
- machine learning
- feature space
- training samples
- pattern classification
- ensemble methods
- kernel function
- feature selection
- cost sensitive
- classification algorithm
- support vector machine svm
- ensemble classifier
- image classification
- minority class
- feature set