Bayesian learning
From Scholarpedia
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Author: Dr. David J.C. MacKay, University of Cambridge, UK
on Amazon.Dr. David J.C. MacKay accepted the invitation on 6 May 2007 (self-imposed deadline: 6 November 2007).
This article will briefly cover: Bayesian learning as a way of describing and deriving both supervised and unsupervised learning algorithms. Supervised learning examples: multi-layer perceptrons. Unsupervised learning examples: clustering, E-M algorithm, Boltzmann machine. Related ideas: 'Score matching'.
| Invited by: | Dr. Eugene M. Izhikevich, Editor-in-Chief of Scholarpedia, the peer-reviewed open-access encyclopedia |
