Simpler large margin distribution machine via weighted linear loss for large-scale classification-Reference-Cited by-同舟云学术

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Simpler large margin distribution machine via weighted linear loss for large-scale classification

Published:2023-12-15 Issue: Volume: Page:
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Chu Maoxiang,Liu Liming,Liu Ling,Gong Rongfen

Funder

Natural Science Foundation of Liaoning Province

Basic Scientific Research Project of Education Department of Liaoning Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s13042-023-02028-9.pdf

Reference29 articles.

1. Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20(3):273–297

2. de Mello RF, Ponti MA (2018) Statistical learning theory. Mach Learn 2018:75–128

3. Wang H, Shao Y, Zhou S, Zhang C, Xiu N (2022) Support vector machine classifier via L0/1 soft-margin loss. IEEE Trans Pattern Anal Mach Intell 44(10):7253–7265

4. Gu B, Xiong Z, Li X, Zhai Z, Zheng G (2021) Kernel path for ν-support vector classification. IEEE Trans Neural Netw Learn Syst 34(1):490–501

5. Akram-Ali-Hammouri Z, Fernandez-Delgado M, Cernadas E, Barro S (2022) Fast support vector classification for large-scale problems. IEEE Trans Pattern Anal Mach Intell 44(10):6184–6195

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