Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction

Weizhong Zhang, Bin Hong, Wei Liu +4

Sparse support vector machine (SVM) is a popular classification technique that can simultaneously learn a small set of the most interpretable features and identify the support vect…