An empirical evaluation of Bayesian samp
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D. Husmeier; W.D. Penny; S.J. Roberts
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Article
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1999
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Elsevier Science
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English
β 884 KB
This article gives a concise overview of Bayesian sampling for neural networks, and then presents an extensive evaluation on a set of various benchmark classification problems. The main objective is to study the sensitivity of this scheme to changes in the prior distribution of the parameters and hy