Unifying tree decompositions for reasoning in graphical models

  • Authors:
  • Kalev Kask;Rina Dechter;Javier Larrosa;Avi Dechter

  • Affiliations:
  • Bren School of Information and Computer Science, University of California, Irvine, CA 92697-3425, USA;Bren School of Information and Computer Science, University of California, Irvine, CA 92697-3425, USA;Universitat Politècnica de Catalunya (UPC), Barcelona, Spain;College of Business and Economics, California State University, Northridge, CA 91330, USA

  • Venue:
  • Artificial Intelligence
  • Year:
  • 2005

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Abstract

The paper provides a unifying perspective of tree-decomposition algorithms appearing in various automated reasoning areas such as join-tree clustering for constraint-satisfaction and the clique-tree algorithm for probabilistic reasoning. Within this framework, we introduce a new algorithm, called bucket-tree elimination (BTE), that extends Bucket Elimination (BE) to trees, and show that it can provide a speed-up of n over BE for various reasoning tasks. Time-space tradeoffs of tree-decomposition processing are analyzed.