Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/4207
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dc.contributor.authorSayrafi, Bassem-
dc.contributor.authorNiepert, Mathias-
dc.contributor.authorVan Gucht, Dirk-
dc.contributor.authorGyssens, Marc-
dc.date.accessioned2017-01-31T13:16:53Z-
dc.date.available2017-01-31T13:16:53Z-
dc.date.issued2013-
dc.identifier.urihttp://hdl.handle.net/20.500.11889/4207-
dc.description.abstractA lattice-theoretic framework is introduced that permits the study of the conditional independence (CI) implication problem relative to the class of discrete probability measures. Semi-lattices are associated with CI statements and a finite, sound and complete inference system relative to semi-lattice inclusion is presented. This system is shown to be (1) sound and complete for saturated CI statements, (2) complete for general CI statements, 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 “latticeexclusion” criterion in polynomial time. Finally, we provide experimental results that relate our work to results obtained from other existing inference algorithmsen_US
dc.language.isoenen_US
dc.subjectLogic, Symbolic and mathematicalen_US
dc.subjectArtificial intelligenceen_US
dc.titleOn the Conditional Independence Implication Problem: A Lattice-Theoretic Approachen_US
dc.typeArticleen_US
newfileds.departmentEngineering and TechnologyEngineering and Technologyen_US
newfileds.item-access-typeopen_accessen_US
newfileds.thesis-prognoneen_US
newfileds.general-subjectnoneen_US
item.fulltextWith Fulltext-
item.languageiso639-1other-
item.grantfulltextopen-
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