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Join-Graph Propagation Algorithms

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Publication:3563087
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DOI10.1613/jair.2842zbMath1192.68649arXiv1401.3489OpenAlexW3105784841WikidataQ42175492 ScholiaQ42175492MaRDI QIDQ3563087

Vibhav Gogate, Robert Mateescu, Kalev Kask, Rina Dechter

Publication date: 31 May 2010

Published in: Journal of Artificial Intelligence Research (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1401.3489



Mathematics Subject Classification ID

Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)


Related Items (9)

Improving probabilistic inference in graphical models with determinism and cycles ⋮ Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region Construction ⋮ Unifying tree decompositions for reasoning in graphical models ⋮ Importance sampling-based estimation over AND/OR search spaces for graphical models ⋮ SampleSearch: importance sampling in presence of determinism ⋮ Approximate structure learning for large Bayesian networks ⋮ Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets ⋮ Sufficient and necessary conditions for solution finding in valuation-based systems ⋮ Solution sampling with random table constraints




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