Improving Bound Propagation

  • Authors:
  • Bozhena Bidyuk;Rina Dechter

  • Affiliations:
  • Donald Bren School of Information and Computer Science, University Of California Irvine, CA 92697-3425, USA, email: bbidyuk@ics.uci.edu;email: dechter@ics.uci.edu

  • Venue:
  • Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
  • Year:
  • 2006

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Abstract

This paper extends previously proposed bound propagation algorithm [11] for computing lower and upper bounds on posterior marginals in Bayesian networks. We improve the bound propagation scheme by taking advantage of the directionality in Bayesian networks and applying the notion of relevant subnetwork. We also propose an approximation scheme for the linear optimization subproblems. We demonstrate empirically that while the resulting bounds loose some precision, we achieve 10-100 times speedup compared to original bound propagation using a simplex solver.