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Bucket Elimination: A Unifying Framework for Probabilistic Inference (1996)  (Make Corrections)  (132 citations)
Rina Dechter



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Abstract: Probabilistic inference algorithms for finding the most probable explanation, the maximum aposteriori hypothesis, and the maximum expected utility and for updating belief are reformulated as an elimination--type algorithm called bucket elimination. This emphasizes the principle common to many of the algorithms appearing in that literature and clarifies their relationship to nonserial dynamic programming algorithms. We also present a general way of combining conditioning and... (Update)

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BibTeX entry:   (Update)

Dechter, R. (1996). Bucket elimination: A unifying framework for probabilistic inference, in E. Horvits and F. Jensen (ed.), Proc. Twelthth Conf. on Uncertainty in Artificial Intelligence, Portland, Oregon, pp. 211--219. http://citeseer.ist.psu.edu/dechter96bucket.html   More

@inproceedings{ dechterdechterbucket,
    author = "Rina Dechter",
    title = "Bucket elimination: {A} unifying framework for probabilistic inference",
    pages = "211--219",
    url = "citeseer.ist.psu.edu/dechter96bucket.html" }
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