Robust twin support vector regression based on Huber loss function.
S. BalasundaramSubhash Chandra PrasadPublished in: Neural Comput. Appl. (2020)
Keyphrases
- loss function
- support vector
- pairwise
- learning to rank
- logistic regression
- regularization term
- risk minimization
- kernel function
- hinge loss
- reproducing kernel hilbert space
- cross validation
- kernel methods
- support vector machine
- empirical risk
- classification accuracy
- boosting algorithms
- boosting framework
- binary classification
- support vector regression
- hyperplane
- robust estimation
- hyperparameters
- maximum entropy
- bayes rule
- similarity measure