TITLE:
The Modified BAPGs Method for Support Vector Machine Classifier with Truncated Loss
AUTHORS:
Kexin Ren
KEYWORDS:
HTPSVM, Bregman Distance, BAPGs Algorithm
JOURNAL NAME:
Applied Mathematics,
Vol.15 No.4,
April
10,
2024
ABSTRACT: In this paper, we modify the Bregman APGs (BAPGs) method proposed in (Wang, L, et al.) for solving the support vector machine problem with truncated loss (HTPSVM) given in (Zhu, W, et al.), we also add an adaptive parameter selection technique based on (Ren, K, et al.). In each iteration, we use the linear approximation method to get the explicit solution of the subproblem and set a function to apply the Bregman distance. Finally, numerical experiments are performed to verify the efficiency of BAPGs.