Upper bound for variational free energy of Bayesian networks

DOI10.1007/s10994-008-5099-xzbMath1470.68194OpenAlexW2023792765MaRDI QIDQ1009332

Sumio Watanabe, Kazuho Watanabe, Motoki Shiga

Publication date: 31 March 2009

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-008-5099-x

zbMATH Keywords

variational free energybipartite Bayesian networksvariational Bayes framework

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Probabilistic graphical models (62H22)

Related Items (3)

Learning causal Bayesian networks using minimum free energy principle ⋮ An alternative view of variational Bayes and asymptotic approximations of free energy ⋮ Comparing two Bayes methods based on the free energy functions in Bernoulli mixtures

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• Algorithmic Learning Theory
• Convergence properties of a general algorithm for calculating variational Bayesian estimates for a normal mixture model

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