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The equivalence of support vector machine and regularization neural networks

Lookup NU author(s): Dr Peter Andras


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We show in this brief paper the equivalence of the support vector machine and regularization neural networks. We prove both implication sides of the equivalence in a generally applicable way. The novelty lies in the effective construction of the regularization operator corresponding to a given support vector machine formulation. We give also a short introductory description of both neural network approximation frameworks.

Publication metadata

Author(s): Andras P

Publication type: Article

Publication status: Published

Journal: Neural Processing Letters

Year: 2002

Volume: 15

Issue: 2

Pages: 97-104

Print publication date: 01/04/2002

ISSN (print): 1370-4621

ISSN (electronic): 1573-773X

Publisher: Springer


DOI: 10.1023/A:1015292818897


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