Border-sensitive learning in generalized learning vector quantization: an alternative to support vector machines-Reference-Cited by-同舟云学术

Border-sensitive learning in generalized learning vector quantization: an alternative to support vector machines

Published:2014-11-20 Issue:9 Volume:19 Page:2423-2434
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Kaden Marika,Riedel Martin,Hermann Wieland,Villmann Thomas

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-014-1496-1.pdf

Reference66 articles.

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4. Biehl M, Hammer B, Villmann T (2014) Distance measures for prototype based classification. In: Petkov N (ed) Proceedings of the international workshop on brain-inspired computing 2013 (Cetraro/Italy). Springer, Berlin

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