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In the last decade, several architectures have been proposed for exactcomputation of marginals using local computation. In this paper, we comparethree architectures - Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer - fromthe perspective of graphical structure for message propagation, message-passingscheme, computational efficiency, and storage efficiency.

A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions