Fast Support Vector Machine With Low-Computational Complexity for Large-Scale Classification-Reference-Cited by-同舟云学术

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Fast Support Vector Machine With Low-Computational Complexity for Large-Scale Classification

Published:2024-07 Issue:7 Volume:54 Page:4151-4163
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Wang Huajun¹^ORCID,Zhu Zhibin²,Shao Yuanhai³

Affiliation:

1. Department of Mathematics and Statistics, Changsha University of Science and Technology, Changsha, China

2. School of Mathematics and Computational Science, Guilin University of Electronic Technology, Guilin, China

3. School of Management, Hainan University, Haikou, China

Funder

National Natural Science Foundation of China

Changsha Municipal Natural Science Foundation

Scientific Research Fund of Hunan Provincial Education Department

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221021/10559914/10480588.pdf?arnumber=10480588

Reference38 articles.

1. Support-vector networks

2. Support Vector Machine Classifier via $L_{0/1}$ Soft-Margin Loss

3. Open-Set Support Vector Machines

4. Fast generalized ramp loss support vector machine for pattern classification

5. Generalized Variant Support Vector Machine

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sparse and robust support vector machine with capped squared loss for large-scale pattern classification;Pattern Recognition;2024-09

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