Bayesian Networks: Theory and Philosophy

DOI10.1007/978-3-030-93052-3_6zbMATH Open1511.62129MaRDI QIDQ6487267

Dawn E. Holmes

Publication date: 11 November 2022

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37) Probabilistic graphical models (62H22)

Cites Work

• Title not available (Why is that?)
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• The computational complexity of probabilistic inference using Bayesian belief networks
• Why making Bayesian networks objectively Bayesian makes sense
• Probabilistic Networks and Expert Systems
• Efficient computation of marginal probabilities in multivalued causal inverted multiway trees given incomplete information
• Prior Probabilities

Related Items (2)

Bayesian Belief Networks: Odds and Ends ⋮ Editorial: Applications of Bayesian networks

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