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Local learning in local model networks

Murray-Smith, R., and Johansen, T.A. (1995) Local learning in local model networks. In: Fourth International Conference on Artificial Neural Networks, 26-28 June 1995, University of Cambridge, UK. IEEE Computer Society, London, UK, pp. 40-46. ISBN 9780852966419

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Abstract

Local model networks are hybrid models which allow the easy integration of a priori knowledge, as well as the ability to learn from data to represent complex, multidimensional dynamic systems from data. The paper points out problems with global learning methods in local model networks. The bias/variance trade offs for local and global learning are examined, and it is illustrated that local learning has a regularizing effect that can make it favorable compared to global learning in some cases.

Item Type:Book Section
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Murray-Smith, Prof Roderick
Authors: Murray-Smith, R., and Johansen, T.A.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science
Publisher:IEEE Computer Society

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