Bounded quantile loss for robust support vector machines-based classification and regression.
Jiaqi ZhangHu YangPublished in: Expert Syst. Appl. (2024)
Keyphrases
- support vector
- classification accuracy
- learning machines
- large margin classifiers
- svm classifier
- support vector machine
- feature selection
- support vector regression
- generalization ability
- cross validation
- logistic regression
- svm classification
- model selection
- binary classification
- pattern recognition
- multi class classification
- regression problems
- kernel function
- kernel methods
- regression model
- margin maximization
- loss function
- supervised learning
- soft margin
- hyperparameters
- standard svm
- pattern classification
- radial basis function
- human age estimation
- structural risk minimization
- mercer kernels
- polynomial kernels
- hyperplane
- cost sensitive
- training examples
- training set