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Bounding Sample Size with the Vapnik-Chervonenkis Dimension

Shawe-Taylor, J., Anthony, M. and Biggs, N.L. (1993) Bounding Sample Size with the Vapnik-Chervonenkis Dimension Discrete Applied Mathematics, 42, (1), pp. 65-73.

Record type: Article

Abstract

A proof that a concept class is learnable provided the Vapnik—Chervonenkis dimension is finite is given. The proof is more explicit than previous proofs and introduces two new parameters which allow bounds on the sample size obtained to be improved by a factor of approximately 4 log2(e).

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Published date: 1993
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 259820
URI: http://eprints.soton.ac.uk/id/eprint/259820
ISSN: 0166-218X
PURE UUID: fb563696-acff-40d2-a799-15c4d6c53258

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Date deposited: 24 Aug 2004
Last modified: 18 Jul 2017 09:19

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Contributors

Author: J. Shawe-Taylor
Author: M. Anthony
Author: N.L. Biggs

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