Adapting Bayes network structures to non-stationary domains

DOI10.1016/j.ijar.2008.02.007zbMath1191.68519OpenAlexW1973807737MaRDI QIDQ962642

Thomas D. Nielsen, Søren Holbech Nielsen

Publication date: 7 April 2010

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

Full work available at URL: https://vbn.aau.dk/ws/files/13311048/Nielsen-Nielsen-07

zbMATH Keywords

Bayesian networkslearningadaptationnon-stationary domains

Mathematics Subject Classification ID

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

Related Items

Gated Bayesian networks for algorithmic trading ⋮ Adapting Bayes network structures to non-stationary domains

Cites Work

• Unnamed Item
• Adapting Bayes network structures to non-stationary domains
• Causation, prediction, and search
• Bayesian network classifiers
• Learning Bayesian networks: The combination of knowledge and statistical data
• Qualitative combination of Bayesian networks
• Symbolic and Quantitative Approaches to Reasoning with Uncertainty
• Symbolic and Quantitative Approaches to Reasoning with Uncertainty

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