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), 65-73.
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Description/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).
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Physical and Applied Science > Electronics and Computer Science |
| Item ID: | 259820 |
| Date Deposited: | 24 Aug 2004 |
| Last Modified: | 02 Mar 2012 11:40 |
| Contributors: | Shawe-Taylor, J. (Author) Anthony, M. (Author) Biggs, N.L. (Author) |
| Date: | 1993 |
| Status: | Published |
| Further Information: | Google Scholar |
| ISI Citation Count: | 16 |
| URI: | http://eprints.soton.ac.uk/id/eprint/259820 |
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