We introduce a principal support vector machine (PSVM) approach that can be used for both linear and nonlinear sufficient dimension reduction. The basic idea is to divide the response variables into ...

To meet the challenge, this article proposes a novel multiclass support vector machine, which performs classification and variable selection simultaneously through an L1-norm penalized sparse ...