LEARNING BAYESIAN NETWORK PARAMETERS FROM SOFT DATA

DOI10.1142/S0218488509005863zbMath1162.68702OpenAlexW1997627463MaRDI QIDQ3629775

Hong Xu Xiao, Gee Wah Ng, Hian Beng Lee

Publication date: 2 June 2009

Published in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218488509005863

zbMATH Keywords

sufficient statisticsBayesian networkparameter learningsoft evidence

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Cites Work

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• Epistemic entrenchment and possibilistic logic
• Soft evidential update for probabilistic multiagent systems
• Probability propagation
• Lazy propagation: A junction tree inference algorithm based on lazy evaluation
• On the revision of probabilistic beliefs using uncertain evidence
• Inference in hybrid Bayesian networks with mixtures of truncated exponentials
• Learning hybrid Bayesian networks using mixtures of truncated exponentials

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