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Bayesian learning for neural networks.

. University of Toronto, Canada, (1995)

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Eleanor Neal

Charlotte-Margarethe Neale

Andrew Vincent Nealen

Adam Neale

Elisabeth Neale

 

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A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants., и . Learning in Graphical Models, том 89 из NATO ASI Series, Springer Netherlands, (1998)Annealed importance sampling.. Stat. Comput., 11 (2): 125-139 (2001)Asymmetric Parallel Boltzmann Machines are Belief Networks.. Neural Comput., 4 (6): 832-834 (1992)The Helmholtz Machine, , , и . (1994)Arithmetic coding revisited, , и . ACM Trans. Inf. Syst., 16 (3): 256--294 (1998)Nonlinear Models using Dirichlet Process Mixtures, и . 0707. Department of Statistics, University of Toronto, (2007)Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure., , , , и . NIPS, стр. 905-912. MIT Press, (2006)Nonlinear Models Using Dirichlet Process Mixtures., и . J. Mach. Learn. Res., (2009)Slice Sampling. The Annals of Statistics, 31 (3): 705--767 (2003)A Split-Merge Markov Chain Monte Carlo Procedure for the Dirichlet Process Mixture Model, и . 2003. Department of Statistics, University of Toronto, (2003)