Robust Twin Support Vector Regression with Smooth Truncated Hε Loss Function.
Ting ShiSugen ChenPublished in: Neural Process. Lett. (2023)
Keyphrases
- loss function
- support vector regression
- support vector
- solution path
- kernel function
- logistic regression
- hybrid model
- pairwise
- support vector machine
- support vector classification
- empirical risk
- reproducing kernel hilbert space
- binary classification
- response surface methodology
- boosting framework
- risk minimization
- regression model
- support vector machine svm
- pattern recognition
- kernel learning
- stochastic gradient descent
- cross validation
- kernel methods
- convex programming
- data mining
- neural network