6 citations · 22 across the 32 of their papers we have counts for
Showing 2019 · math.OCShow all
2 papers · 2 filters
math.OC2019★ 2 cited
An Efficient Augmented Lagrangian Method for Support Vector Machine
Yinqiao Yan, Qingna Li
Support vector machine (SVM) has proved to be a successful approach for machine learning. Two typical SVM models are the L1-loss model for support vector classification (SVC) and $…
math.OC2019
A Semismooth Newton Method for Support Vector Classification and Regression
Juan Yin, Qingna Li
Support vector machine is an important and fundamental technique in machine learning. In this paper, we apply a semismooth Newton method to solve two typical SVM models: the L2-los…