Neural networks for predicting Kaposi's sarcoma

Husmeier, D. , Patton, G.S., McClure, M.O., Harris, J.R.W. and Roberts, S.J. (1999) Neural networks for predicting Kaposi's sarcoma. In: IJCNN'99: Proceedings, International Joint Conference on Neural Networks. Institute of Electrical and Electronics Engineers: New York, NY, USA, pp. 3707-3711. ISBN 9780780355309 (doi:10.1109/IJCNN.1999.836274)

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Publisher's URL: http://dx.doi.org/10.1109/IJCNN.1999.836274

Abstract

This paper demonstrates a medical application of Bayesian neural networks, whose parameters and hyper-parameters are sampled from the posterior distribution by means of Monte Carlo Markov chain. The main objective is the determination of the relevance of various input variables. The paper focuses on typical difficulties one has to face when dealing with sparse data sets.

Item Type:Book Sections
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Husmeier, Professor Dirk
Authors: Husmeier, D., Patton, G.S., McClure, M.O., Harris, J.R.W., and Roberts, S.J.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Publisher:Institute of Electrical and Electronics Engineers
ISBN:9780780355309

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