Proceedings

Dynamic Weighting A* Search-Based MAP Algorithm for Bayesian Networks

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Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 2385-2389.

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.

Xiaoxun Sun, Marek J. Druzdzel, and Changhe Yuan. 2007. Dynamic Weighting A* Search-Based MAP Algorithm for Bayesian Networks. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07. IJCAI, 2385–2389. https://ijcai.org/proceedings/2007/384
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