Applied Mathematics

Volume 15, Issue 4 (April 2024)

ISSN Print: 2152-7385   ISSN Online: 2152-7393

Google-based Impact Factor: 0.58  Citations  

The Modified BAPGs Method for Support Vector Machine Classifier with Truncated Loss

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DOI: 10.4236/am.2024.154015    46 Downloads   189 Views  
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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.

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Ren, K. (2024) The Modified BAPGs Method for Support Vector Machine Classifier with Truncated Loss. Applied Mathematics, 15, 267-278. doi: 10.4236/am.2024.154015.

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