Regularisation of RBF-Networks with the Bayesian evidence scheme

Husmeier, D. and Roberts, S.J. (1999) Regularisation of RBF-Networks with the Bayesian evidence scheme. In: Proceedings of the 9th International Conference on Artificial Neural Networks. IEEE: Edinburgh, UK, pp. 533-538.

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We propose a novel regularisation method for Gaussian mixture networks, which adopts a Bayesian approach and draws on the evidence scheme to optimise the hyperparameters. This leads to a new, modifed form of the EM algorithm, which is compared with the original scheme on three classifcation problems.

Item Type:Book Sections
Glasgow Author(s) Enlighten ID:Husmeier, Professor Dirk
Authors: Husmeier, D., and Roberts, S.J.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
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