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Bucket elimination: a unifying framework for probabilistic inference

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R. DechterAuthors Info & Claims

Learning in graphical models

February 1999

Pages 75 - 104

Published: 01 February 1999 Publication History

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Kiselyov OShan CMcAllester D(2009)Monolingual probabilistic programming using generalized coroutinesProceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence10.5555/1795114.1795148(285-292)Online publication date: 18-Jun-2009
https://dl.acm.org/doi/10.5555/1795114.1795148
Kiselyov OShan C(2009)Embedded Probabilistic ProgrammingProceedings of the IFIP TC 2 Working Conference on Domain-Specific Languages10.1007/978-3-642-03034-5_17(360-384)Online publication date: 2-Jul-2009
https://dl.acm.org/doi/10.1007/978-3-642-03034-5_17
Van Allen TSingh AGreiner RHooper P(2008)Quantifying the uncertainty of a belief net responseArtificial Intelligence10.1016/j.artint.2007.09.004172:4-5(483-513)Online publication date: 1-Mar-2008
https://dl.acm.org/doi/10.1016/j.artint.2007.09.004
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Bucket elimination: a unifying framework for probabilistic inference

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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 ...

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Published In

Learning in graphical models

February 1999

634 pages

ISBN:0262600323

Editor:
Michael I. Jordan

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MIT Press

Cambridge, MA, United States

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Published: 01 February 1999

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Kiselyov OShan CMcAllester D(2009)Monolingual probabilistic programming using generalized coroutinesProceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence10.5555/1795114.1795148(285-292)Online publication date: 18-Jun-2009
https://dl.acm.org/doi/10.5555/1795114.1795148
Kiselyov OShan C(2009)Embedded Probabilistic ProgrammingProceedings of the IFIP TC 2 Working Conference on Domain-Specific Languages10.1007/978-3-642-03034-5_17(360-384)Online publication date: 2-Jul-2009
https://dl.acm.org/doi/10.1007/978-3-642-03034-5_17
Van Allen TSingh AGreiner RHooper P(2008)Quantifying the uncertainty of a belief net responseArtificial Intelligence10.1016/j.artint.2007.09.004172:4-5(483-513)Online publication date: 1-Mar-2008
https://dl.acm.org/doi/10.1016/j.artint.2007.09.004
Zheng HKang BKim H(2008)An Ontology-Based Bayesian Network Approach for Representing Uncertainty in Clinical Practice GuidelinesUncertainty Reasoning for the Semantic Web I10.1007/978-3-540-89765-1_10(161-173)Online publication date: 30-Nov-2008
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Silberstein MGeiger DSchuster A(2007)A distributed system for genetic linkage analysisProceedings of the 2006 international conference on Distributed, high-performance and grid computing in computational biology10.5555/1765588.1765600(110-123)Online publication date: 21-Jan-2007
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Beygelzimer ARish I(2003)Approximability of probability distributionsProceedings of the 17th International Conference on Neural Information Processing Systems10.5555/2981345.2981393(377-384)Online publication date: 9-Dec-2003
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Fishelson MGeiger DMiller W(2003)Optimizing exact genetic linkage computationsProceedings of the seventh annual international conference on Research in computational molecular biology10.1145/640075.640089(114-121)Online publication date: 10-Apr-2003
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Wachsmuth SSagerer G(2002)Bayesian networks for speech and image integrationEighteenth national conference on Artificial intelligence10.5555/777092.777141(300-306)Online publication date: 28-Jul-2002
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Van Allen TGreiner RHooper P(2001)Bayesian error-bars for belief net inferenceProceedings of the Seventeenth conference on Uncertainty in artificial intelligence10.5555/2074022.2074086(522-529)Online publication date: 2-Aug-2001
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Murphy K(1999)A variational approximation for Bayesian networks with discrete and continuous latent variablesProceedings of the Fifteenth conference on Uncertainty in artificial intelligence10.5555/2073796.2073848(457-466)Online publication date: 30-Jul-1999
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Bucket Elimination: a Unifying Framework for ProcessingHard and Soft Constraints

Bucket elimination: a unifying framework for probabilistic inference

Bucket elimination: a unifying framework for probabilistic inference

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