𝔖 Bobbio Scriptorium
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Properties of Sensitivity Analysis of Bayesian Belief Networks

✍ Scribed by Veerle M.H. Coupé; Linda C. van der Gaag


Book ID
110348326
Publisher
Springer Netherlands
Year
2002
Tongue
English
Weight
231 KB
Volume
36
Category
Article
ISSN
1012-2443

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✍ Gregory F. Cooper 📂 Article 📅 1990 🏛 Elsevier Science 🌐 English ⚖ 708 KB

Bayesian belief networks provide a natural, efficient method for representing probabilistic dependencies among a set of variables. For these reasons, numerous researchers are exploring the use of belief networks as a knowledge representation m artificial intelligence. Algorithms have been developed