A new inference axiom for probabilistic conditional independence

  • Authors:
  • Cory J. Butz;S. K. Michael Wong;Dan Wu

  • Affiliations:
  • Department of Computer Science, University of Regina, Regina, SK, Canada;Department of Computer Science, University of Regina, Regina, SK, Canada;Department of Computer Science, University of Regina, Regina, SK, Canada

  • Venue:
  • AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
  • Year:
  • 2003

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Abstract

In this paper, we present a hypergraph-based inference method for conditional independence. Our method allows us to obtain several interesting results on graph combination. In particular, our hypergraph approach allows us to strengthen one result obtained in a conventional graph-based approach. We also introduce a new inference axiom, called combination, of which the contraction axiom is a special case.