A robust algorithm of support vector regression with a trimmed Huber loss function in the primal.
Chuanfa ChenChangqing YanNa ZhaoBin GuoGuolin LiuPublished in: Soft Comput. (2017)
Keyphrases
- loss function
- support vector regression
- support vector
- solution path
- boosting framework
- objective function
- support vector classification
- pairwise
- learning algorithm
- support vector machine svm
- optimal solution
- linear programming
- linear program
- convergence rate
- semi supervised
- decision function
- empirical risk
- similarity measure
- neural network