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An Introduction to Algorithms for Inference in Belief Nets
Max Henrion
Abstract:
As belief nets are applied to represent larger and more complex knowledge bases, the development of more efficient inference algorithms is becoming increasingly urgent. A brief survey of different approaches is presented to provide a framework for understanding the following papers in this section.
Keywords: null
Pages: 129-138
PS Link:
PDF Link: /papers/89/
BibTex:
@INPROCEEDINGS{Henrion89,
AUTHOR = "Max Henrion
",
TITLE = "An Introduction to Algorithms for Inference in Belief Nets",
BOOKTITLE = "Uncertainty in Artificial Intelligence 5 Annual Conference on Uncertainty in Artificial Intelligence (UAI-89)",
PUBLISHER = "Elsevier Science",
ADDRESS = "Amsterdam, NL",
YEAR = "1989",
PAGES = "129--138"
}
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