Propagation effects of model-calculated probability values in Bayesian networks

DOI10.1016/J.IJAR.2015.03.005zbMath1343.68245OpenAlexW2045815343MaRDI QIDQ891771

S. P. D. Woudenberg, Linda C. van der Gaag

Publication date: 17 November 2015

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

Full work available at URL: https://doi.org/10.1016/j.ijar.2015.03.005

zbMATH Keywords

sensitivity analysis(leaky) noisy-OR modelBayesian network engineeringnoisy-MAX modelprobabilistic causal interaction model

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (1)

An intercausal cancellation model for Bayesian-network engineering

Cites Work

• Properties of sensitivity analysis of Bayesian belief networks
• Non-impeding noisy-AND tree causal models over multi-valued variables
• Bayesian network modelling through qualitative patterns
• The computational complexity of probabilistic inference using Bayesian belief networks
• On the hardness of approximate reasoning
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• Using the Noisy-OR Model Can Be Harmful … But It Often Is Not
• An Empirical Study of the Use of the Noisy-Or Model in a Real-Life Bayesian Network
• Bayesian Networks and Decision Graphs
• Modeling and Reasoning with Bayesian Networks
• Learning Bayesian network parameters from small data sets: Application of Noisy-OR gates
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