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.
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).
|Divisions :||Faculty of Physical Sciences and Engineering > Electronics and Computer Science
|Accepted Date and Publication Date:||
|Date Deposited:||24 Aug 2004|
|Last Modified:||31 Mar 2016 14:01|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)