Loss functions analysis in support vector regression

Laplace, Huber, Gauss and epsilon-insensitive loss functions in support vector regression are analyzed. Dual problem formulations and investigation results using these functions are presented. It is shown that the use of epsilon-insensitive loss function could result in biased solution.