Priors on network structures. Biasing the search for Bayesian networks

DOI10.1016/S0888-613X(99)00041-9zbMath0995.68112MaRDI QIDQ1605676

Arno P. J. M. Siebes, Robert Castelo

Publication date: 23 July 2002

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

zbMATH Keywords

Bayesian networks

Mathematics Subject Classification ID

Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (4)

Hybrid learning of Bayesian multinets for binary classification ⋮ Bayesian network models for incomplete and dynamic data ⋮ Who learns better Bayesian network structures: accuracy and speed of structure learning algorithms ⋮ Learning Bayesian networks from incomplete data with the node-average likelihood

Cites Work

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• A Bayesian method for the induction of probabilistic networks from data
• Learning Bayesian networks: The combination of knowledge and statistical data
• Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window
• Eliciting prior information to enhance the predictive performance of bayesian graphical models

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