An Under-Sampling Method of Unbalanced Data Classification Based on Support Vector.
Jinqiang HeYongli LiaoDengjie ZhuXujuan FanXiancong ZhangPublished in: HCC (2020)
Keyphrases
- machine learning
- unbalanced data
- support vector
- support vector machine
- feature selection
- pattern recognition
- kernel methods
- decision trees
- classification accuracy
- generalization ability
- svm classifier
- logistic regression
- active learning
- kernel function
- classification algorithm
- feature vectors
- learning machines
- standard svm
- feature space
- image classification
- loss function
- feature extraction
- learning problems
- high dimensional
- svm classification