Kernel-free Reduced Quadratic Surface Support Vector Machine with 0-1 Loss Function and L$$_p$$-norm Regularization-Reference-Cited by-同舟云学术

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Kernel-free Reduced Quadratic Surface Support Vector Machine with 0-1 Loss Function and L$$_p$$-norm Regularization

Published:2024-08-19 Issue: Volume: Page:
ISSN:2198-5804
Container-title:Annals of Data Science
language:en
Short-container-title:Ann. Data. Sci.

Author:

Wu Mingyang,Yang Zhixia^ORCID

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s40745-024-00573-w.pdf

Reference35 articles.

1. Shi Y (2022) Advances in big data analytics: theory, algorithm and practice. Springer, Singapore

2. Olson DL, Shi Y (2007) Introduction to business data mining. McGraw-Hill/Irwin, New York

3. Shi Y, Tian YJ, Kou G, Peng Y, Li JP (2011) Optimization based data mining: theory and applications. Springer, Berlin

4. Tien JM (2017) Internet of things, real-time decision making, and artificial intelligence. Ann Data Sci 4(2):149–178

5. Jin W, Zhang JQ, Zhang X (2011) Face recognition method based on support vector machine and particle swarm optimization. Expert Sys Appl 38(4):4390–4393

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