Support Vector Machines (SVMs) represent a robust and versatile class of machine learning algorithms that have significantly shaped the fields of pattern recognition, classification, and regression.

Two-category support vector machines (SVM) have been very popular in the machine learning community for classification problems. Solving multicategory problems by a series of binary classifiers is ...

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 ...