User:Eugene M. Izhikevich/Proposed/Bayesian learning
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'.