Binary join trees

  • Authors:
  • Prakash P. Shenoy

  • Affiliations:
  • School of Business, University of Kansas, Lawrence, KS

  • Venue:
  • UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
  • Year:
  • 1996

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Abstract

The main goal of this paper is to describe a data structure called binary join trees that are useful in computing multiple marginals efficiently using the Shenoy-Shafer architecture. We define binary join trees, describe their utility, and sketch a procedure for constructing them.