DocumentCode :
3493236
Title :
Regularisation of RBF-networks with the Bayesian evidence scheme
Author :
Husmeier, Dirk ; Roberts, Stephen J.
Author_Institution :
Neural Syst. Res. Group, Imperial Coll. of Sci., Technol. & Med., London, UK
Volume :
2
fYear :
1999
fDate :
1999
Firstpage :
533
Abstract :
We propose a novel regularisation method for Gaussian multiple networks, which adopts a Bayesian approach and draws on the evidence scheme to optimise the hyperparameters. This leads to a new, modified form of the EM algorithm, which is compared with the original scheme on three classification problems
Keywords :
radial basis function networks; Bayesian evidence; EM algorithm; Gaussian multiple networks; covariance matrix; hyperparameters; pattern classification; probability; radial basis function networks; regularisation method;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470)
Conference_Location :
Edinburgh
ISSN :
0537-9989
Print_ISBN :
0-85296-721-7
Type :
conf
DOI :
10.1049/cp:19991164
Filename :
817984
Link To Document :
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