Approximate representation of probabilistic data in expert systems

DOI10.1016/0377-2217(95)00130-1zbMath0949.68577OpenAlexW2071075127MaRDI QIDQ1278337

Sumit Sarkar, Veda C. Storey, Haim Mendelson

Publication date: 22 April 1999

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0377-2217(95)00130-1

zbMATH Keywords

artificial intelligenceexpert systemsprobabilistic reasoningbelief networks

Mathematics Subject Classification ID

Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Cites Work

• Unnamed Item
• Fusion, propagation, and structuring in belief networks
• Bayesian and non-Bayesian evidential updating
• The computational complexity of probabilistic inference using Bayesian belief networks
• Comments on approximating discrete probability distributions with dependence trees
• Quantitative Methods in Credit Management: A Survey
• Approximating discrete probability distributions with dependence trees

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