Article

Dynamic weighting A* search-based MAP algorithm for Bayesian networks

Authors:

Marek J. Druzdzel,

Changhe YuanAuthors Info & Claims

IJCAI'07: Proceedings of the 20th international joint conference on Artifical intelligence

Pages 2385 - 2390

Published: 06 January 2007 Publication History

Abstract

In this paper we propose the Dynamic Weighting A* (DWA*) search algorithm for solving MAP problems in Bayesian networks. By exploiting asymmetries in the distribution of MAP variables, the algorithm is able to greatly reduce the search space and offer excellent performance both in terms of accuracy and efficiency.

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Digital Library

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Cited By

Tabakhi AYeoh WYokoo MElkind EVeloso MAgmon NTaylor M(2019)Parameterized Heuristics for Incomplete Weighted CSPs with Elicitation CostsProceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3306127.3331729(476-484)Online publication date: 8-May-2019
https://dl.acm.org/doi/10.5555/3306127.3331729
Yuan CHansen E(2009)Efficient computation of jointree bounds for systematic MAP searchProceedings of the 21st International Joint Conference on Artificial Intelligence10.5555/1661445.1661762(1982-1989)Online publication date: 11-Jul-2009
https://dl.acm.org/doi/10.5555/1661445.1661762
Sun XYeoh WChen PKoenig SSierra CCastelfranchi CDecker KSichman J(2009)Simple optimization techniques for A*-based searchProceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 210.5555/1558109.1558141(931-936)Online publication date: 10-May-2009
https://dl.acm.org/doi/10.5555/1558109.1558141
Show More Cited By

Dynamic weighting A* search-based MAP algorithm for Bayesian networks
1. Theory of computation
  1. Design and analysis of algorithms
    1. Data structures design and analysis

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Information & Contributors

Information

Published In

cover image Guide Proceedings

IJCAI'07: Proceedings of the 20th international joint conference on Artifical intelligence

January 2007

2953 pages

Editors:
Rajeev Sangal
International Institute of Information Technology, Hyderabad
,
Harish Mehta
Onward Technologies Limited
,
R. K. Bagga
International Institute of Information Technology, Hyderabad

Sponsors

The International Joint Conferences on Artificial Intelligence, Inc.

Publisher

Morgan Kaufmann Publishers Inc.

San Francisco, CA, United States

Publication History

Published: 06 January 2007

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Cited By

Tabakhi AYeoh WYokoo MElkind EVeloso MAgmon NTaylor M(2019)Parameterized Heuristics for Incomplete Weighted CSPs with Elicitation CostsProceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3306127.3331729(476-484)Online publication date: 8-May-2019
https://dl.acm.org/doi/10.5555/3306127.3331729
Yuan CHansen E(2009)Efficient computation of jointree bounds for systematic MAP searchProceedings of the 21st International Joint Conference on Artificial Intelligence10.5555/1661445.1661762(1982-1989)Online publication date: 11-Jul-2009
https://dl.acm.org/doi/10.5555/1661445.1661762
Sun XYeoh WChen PKoenig SSierra CCastelfranchi CDecker KSichman J(2009)Simple optimization techniques for A*-based searchProceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 210.5555/1558109.1558141(931-936)Online publication date: 10-May-2009
https://dl.acm.org/doi/10.5555/1558109.1558141
Kim YLesser V(2008)Finding Minimum Data Requirements Using Pseudo-independenceProceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 0210.1109/WIIAT.2008.339(57-64)Online publication date: 9-Dec-2008
https://dl.acm.org/doi/10.1109/WIIAT.2008.339

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