Fast committee learning: preliminary results

Swann, A. and Allinson, N. (1998) Fast committee learning: preliminary results. Electronics Letters, 34 (14). pp. 1408-1410. ISSN 1013-5194

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Fast committee learning: preliminary results
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Full text URL: http://dx.doi.org/10.1049/el:19981000

Abstract

Fast committee leaming can, to some extent, achieve the
generalisation advantages of a committee of neural networks,
without the need for independent leaming of the committee
members. This is achieved by selecting committee members from time-slices of the learning trajectory of one neural nctwork.

Item Type:Article
Additional Information:Fast committee leaming can, to some extent, achieve the generalisation advantages of a committee of neural networks, without the need for independent leaming of the committee members. This is achieved by selecting committee members from time-slices of the learning trajectory of one neural nctwork.
Keywords:algorithm, neural networks, fast committee learning, learning trajectory
Subjects:G Mathematical and Computer Sciences > G730 Neural Computing
Divisions:College of Science > School of Computer Science
ID Code:5090
Deposited By: Tammie Farley
Deposited On:23 Apr 2012 11:08
Last Modified:13 Mar 2013 09:06

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