Adapting connectionist learning to Bayes networks

DOI10.1016/0888-613X(90)90002-JzbMath0697.68078MaRDI QIDQ911790

Kathryn Blackmond Laskey

Publication date: 1990

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

zbMATH Keywords

probabilistic inferenceMarkov random fieldsbelief propagationBayes networksBoltzmann machineconnectionist learning

Mathematics Subject Classification ID

Random fields (60G60) Learning and adaptive systems in artificial intelligence (68T05)

Related Items

Knowledge base refinement: A bibliography, On the complexity of belief network synthesis and refinement

Cites Work

• Optimization by Simulated Annealing
• Fusion, propagation, and structuring in belief networks
• Evidential reasoning using stochastic simulation of causal models
• Markov Random Fields and Their Applications
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Cooling Schedules for Optimal Annealing
• Equation of State Calculations by Fast Computing Machines
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