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

  • Authors:
  • Xiaoxun Sun;Marek J. Druzdzel;Changhe Yuan

  • Affiliations:
  • Computer Science Department, University of Southern California, Los Angeles, CA;Decision Systems Laboratory, School of Information Sciences & University of Pittsburgh, Pittsburgh, PA;Department of Computer Science and Engineering, Mississippi State University, MS

  • Venue:
  • IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
  • Year:
  • 2007

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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.