Manifold Stochastic Dynamics for Bayesian Learning

DOI10.1162/089976601753196021zbMath1008.68114OpenAlexW2136491832WikidataQ52128250 ScholiaQ52128250MaRDI QIDQ2784821

Yoram Baram, Mark Zlochin

Publication date: 24 April 2002

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/089976601753196021

zbMATH Keywords

Markov chain Monte Carlo algorithmBayesian learning in neural networksstochastic dynamics method

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Optimal tuning of the hybrid Monte Carlo algorithm

Cites Work

• Accelerating Gaussian diffusions
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

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