Robust and sparse support vector machine via hybrid truncated loss for supervised classification

Yuliang Yang, Chen Chen, Yuxiang Liu +1

The support vector machine (SVM) is a widely used classifier, but choosing an appropriate loss function remains difficult. Convex losses such as the hinge loss and least-squares lo…