(Enter summary)
Abstract: The paper presents a class of approximation algorithms that extend the
idea of bounded-complexityinference, inspired by successful constraint propagation
algorithms, to probabilistic inference and combinatorial optimization. (Update)
Cited by: More
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BibTeX entry: (Update)
K. Dechter. Mini-buckets: A general scheme for approximating inference. ICS Technical Report, 1998. http://citeseer.ist.psu.edu/dechter98minibuckets.html More
@misc{ dechter98minibuckets,
author = "K. Dechter",
title = "Mini-buckets: A general scheme for approximating inference",
text = "K. Dechter. Mini-buckets: A general scheme for approximating inference.
ICS Technical Report, 1998.",
year = "1998",
url = "citeseer.ist.psu.edu/dechter98minibuckets.html" }
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Documents on the same site (http://www.ics.uci.edu/~dechter/publications/): More
Up and Down Mini-Buckets: A Scheme for Approximating.. - Kask, Larrosa, Dechter (2001)
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Mini-Buckets: A General Scheme for Approximating Inference - Dechter, Rish (1998)
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On the Time Complexity of Bucket Elimination Algorithms - Larrosa (2001)
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