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Sample Sizes for Threshold Networks with Equivalences

Shawe-Taylor, J. (1995) Sample Sizes for Threshold Networks with Equivalences Information and Computation, 118, (1), pp. 65-72.

Record type: Article

Abstract

This paper applies the theory of Probably Approximately Correct (PAC) learning to multiple output feedforward threshold networks in which the weights conform to certain equivalences. It is shown that the sample site for reliable learning can be bounded above by a formula similar to that required for single output networks with no equivalences. The best previously obtained bounds are improved for all cases.

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More information

Published date: April 1995
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 259808
URI: http://eprints.soton.ac.uk/id/eprint/259808
ISSN: 0890-5401
PURE UUID: 391a75b7-4097-4728-8f40-d2124f4ddc55

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Date deposited: 23 Aug 2004
Last modified: 18 Jul 2017 09:19

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Contributors

Author: J. Shawe-Taylor

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