Binary Join Trees
Abstract
The main goal of this paper is to describe a datastructure called binary join trees that are useful incomputing multiple marginals efficiently usingthe Shenoy-Shafer architecture. We define binaryjoin trees, describe their utility, and sketch a procedure for constructing them.
Description
A longer and updated version of this paper appears in: Shenoy, P. P., "Binary Join Trees for Computing Marginals in the Shenoy-Shafer Architecture," International Journal of Approximate Reasoning, 17(2--3), 1997, 239--263 (available from <http://hdl.handle.net/1808/172>.
ISBN
1-55860-412-XCollections
Citation
Shenoy, P. P., "Binary Join Trees," in E. Horvitz and F. V. Jensen (eds.), Uncertainty in Artificial Intelligence, Vol. 12, 1996, pp. 492--499, Morgan Kaufmann, San Francisco, CA.
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