Uncertainty in Artificial Intelligence
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Binary Join Trees
Prakash Shenoy
Abstract:
The main goal of this paper is to describe a data structure called binary join trees that are useful in computing multiple marginals efficiently using the Shenoy-Shafer architecture. We define binary join trees, describe their utility, and sketch a procedure for constructing them.
Keywords:
Pages: 492-499
PS Link:
PDF Link: /papers/96/p492-shenoy.pdf
BibTex:
@INPROCEEDINGS{Shenoy96,
AUTHOR = "Prakash Shenoy ",
TITLE = "Binary Join Trees",
BOOKTITLE = "Proceedings of the Twelfth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-96)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1996",
PAGES = "492--499"
}


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