A robust support vector regression with a linear-log concave loss function.
Dohyun KimChungmok LeeSangheum HwangMyong K. JeongPublished in: J. Oper. Res. Soc. (2016)
Keyphrases
- loss function
- support vector regression
- support vector
- solution path
- nonlinear regression
- kernel function
- support vector classification
- hybrid model
- pairwise
- logistic regression
- square loss
- regression model
- empirical risk
- boosting framework
- linear model
- support vector machine
- reproducing kernel hilbert space
- kernel learning
- hyperparameters
- boosting algorithms
- cross validation
- binary classification
- weight vector
- decision function
- risk minimization
- linear support vector machines
- artificial neural networks