Swann, A. and Allinson, N. (1998) Fast committee learning: preliminary results. Electronics Letters, 34 (14). pp. 1408-1410. ISSN 1013-5194
Full content URL: http://dx.doi.org/10.1049/el:19981000
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Item Type: | Article |
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Item Status: | Live Archive |
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.
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. |
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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 On: | 23 Apr 2012 11:08 |
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