Multi-class support vector machine based on the minimization of class variance-Reference-Cited by-同舟云学术

Multi-class support vector machine based on the minimization of class variance

Published:2021-01-03 Issue:1 Volume:53 Page:517-533
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Zhang Zhiqiang,Xu Zeqian,Tan Junyan,Zou Hui

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/content/pdf/10.1007/s11063-020-10393-7.pdf

Reference18 articles.

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2. Vapnik V (1998) The nature of statistical learning, 2nd edn. Springer, New York

3. Bennett KP (1999) Combining support vector and mathematical programming methods for classification. In: Schälkopf B, Burges CJC, Smola AJ (eds) Advances in Kernel methods: support vector learning. MIT Press, Cambridge, MA, pp 307–326

4. Lee Y, Lin Y, Wahba G (2001) Multicategory support vector machines. Comput Sci Stat 33:498–512

5. Weston J, Watkins C (1998) Multi-class support vector machines, CSD-TR-98-04 Royal Holloway. University of London, Egham, UK

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