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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/10460

Title: On the Conditional Independence Implication Problem: A Lattice-Theoretic Approach
Authors: Niepert, Mathias
Van Gucht, Dirk
GYSSENS, Marc
Issue Date: 2008
Publisher: AUIA Press
Citation: McAllester, David A. & Myllymäki, Petri (Ed.) UAI 2008, Proceedings of the 24th Conference in Uncertainty in Artificial Intelligence. p. 435-443.
Abstract: A lattice-theoretic framework is introduced that permits the study of the conditional in- dependence (CI) implication problem relative to the class of discrete probability measures. Semi-lattices are associated with CI state- ments and a finite, sound and complete in- ference system relative to semi-lattice inclu- sions is presented. This system is shown to be (1) sound and complete for saturated CI statements, (2) complete for general CI state- ments, and (3) sound and complete for stable CI statements. These results yield a criterion that can be used to falsify instances of the implication problem and several heuristics are derived that approximate this “lattice- exclusion” criterion in polynomial time. Fi- nally, we provide experimental results that relate our work to results obtained from other existing inference algorithms.
URI: http://hdl.handle.net/1942/10460
ISBN: 0-9749039-4-9
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

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