6 citations · 22 across the 32 of their papers we have counts for
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math.OC2021
Bilevel hyperparameter optimization for support vector classification: theoretical analysis and a solution method
Qingna Li, Zhen Li, Alain Zemkoho
Support vector classification (SVC) is a classical and well-performed learning method for classification problems. A regularization parameter, which significantly affects the class…
math.OC2021
A Facial Reduction Approach for the Single Source Localization Problem
He Shi, Qingna Li
The single source localization problem (SSLP) appears in several fields such as signal processing and global positioning systems. The optimization problem of SSLP is nonconvex and…
math.OC2021
A Majorization Penalty Method for SVM with Sparse Constraint
Lu Sitong, Li Qinana
Support vector machine is an important and fundamental technique in machine learning. Soft-margin SVM models have stronger generalization performance compared with the hard-margin…