Distributed cooperative Bayesian learning strategies.

DOI10.1006/INCO.1998.2753zbMath1045.68600OpenAlexW2067400450MaRDI QIDQ1854263

Kenji Yamanishi

Publication date: 14 January 2003

Published in: Information and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1006/inco.1998.2753

zbMATH Keywords

distributed learning system

Mathematics Subject Classification ID

Bayesian inference (62F15) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

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• Statistical decision theory and Bayesian analysis. 2nd ed
• General Irreducible Markov Chains and Non-Negative Operators
• Sampling-Based Approaches to Calculating Marginal Densities
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• The Calculation of Posterior Distributions by Data Augmentation
• A decision-theoretic extension of stochastic complexity and its applications to learning
• Monte Carlo sampling methods using Markov chains and their applications

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