Robust Rescaled Hinge Loss Twin Support Vector Machine for Imbalanced Noisy Classification.
Ling-Wei HuangYuan-Hai ShaoJun ZhangYu-Ting ZhaoJia-Ying TengPublished in: IEEE Access (2019)
Keyphrases
- support vector machine
- hinge loss
- soft margin
- decision boundary
- support vector
- loss function
- svm classifier
- support vector machine svm
- multi class
- feature vectors
- training set
- feature selection
- training data
- potential functions
- generalization ability
- training samples
- classification accuracy
- risk minimization
- svm classification
- class imbalance
- machine learning
- decision trees
- parameter selection
- image classification
- hyperplane
- binary classification
- convex optimization
- perceptron algorithm
- feature space
- class distribution
- training dataset
- linear classifiers
- support vectors
- feature extraction
- pattern classification
- cross validation
- supervised learning