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Sample Sizes for Multiple Output Threshold Networks

Sample Sizes for Multiple Output Threshold Networks
Sample Sizes for Multiple Output Threshold Networks
This paper applies the theory of probably approximately correct (PAC) learning to multiple-output feedforward threshold networks. It is shown that the sample size for reliable learning can be bounded above by a quantity independent of the number of outputs of the network.
0954-898x
107-117
Shawe-Taylor, J.
c32d0ee4-b422-491f-8c28-78663851d6db
Anthony, M.
44cc9b8c-f199-4df9-a6c5-8b4a37c238b2
Shawe-Taylor, J.
c32d0ee4-b422-491f-8c28-78663851d6db
Anthony, M.
44cc9b8c-f199-4df9-a6c5-8b4a37c238b2

Shawe-Taylor, J. and Anthony, M. (1991) Sample Sizes for Multiple Output Threshold Networks. Network, 2 (1), 107-117.

Record type: Article

Abstract

This paper applies the theory of probably approximately correct (PAC) learning to multiple-output feedforward threshold networks. It is shown that the sample size for reliable learning can be bounded above by a quantity independent of the number of outputs of the network.

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More information

Published date: 1991
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 259827
URI: http://eprints.soton.ac.uk/id/eprint/259827
ISSN: 0954-898x
PURE UUID: e36ba8c7-c7ff-49df-a816-61239e3fbd9d

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Date deposited: 24 Aug 2004
Last modified: 14 Mar 2024 06:28

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Contributors

Author: J. Shawe-Taylor
Author: M. Anthony

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