Structural-EM for learning PDG models from incomplete data

DOI10.1016/j.ijar.2010.01.010zbMath1205.68304OpenAlexW2110350701MaRDI QIDQ985145

Jens D. Nielsen, Antonio Salmerón, Rafael Rumí

Publication date: 20 July 2010

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

Full work available at URL: https://doi.org/10.1016/j.ijar.2010.01.010

zbMATH Keywords

machine learninggraphical modelslearning from incomplete data

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Modelling and inference with conditional Gaussian probabilistic decision graphs ⋮ Refining a Bayesian network using a chain event graph

Uses Software

• UCI-ml

Cites Work

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• The EM algorithm for graphical association models with missing data
• Supervised classification using probabilistic decision graphs
• Normative selection of Bayesian networks
• Learning probabilistic decision graphs
• Approximating discrete probability distributions with dependence trees
• PROBABILISTIC DECISION GRAPHS — COMBINING VERIFICATION AND AI TECHNIQUES FOR PROBABILISTIC INFERENCE

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