Marginalization without summation exploiting determinism in factor algebra

Sander Evers*, Peter J.F. Lucas

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

It is known that solving an exact inference problem on a discrete Bayesian network with many deterministic nodes can be far cheaper than what would be expected based on its treewidth. In this article, we introduce a novel technique for this: to the operations of factor multiplication and factor summation that form the basis of many inference algorithms, we add factor indexing. We integrate this operation into variable elimination, and extend the minweight heuristic accordingly. A preliminary empirical evaluation gives promising results.

Original languageEnglish
Title of host publicationSymbolic and Quantitative Approaches to Reasoning with Uncertainty - 11th European Conference, ECSQARU 2011, Proceedings
Pages251-262
Number of pages12
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event11th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2011 - Belfast, United Kingdom
Duration: 29 Jun 20111 Jul 2011
Conference number: 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6717 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2011
Abbreviated titleECSQARU 2011
Country/TerritoryUnited Kingdom
CityBelfast
Period29/06/111/07/11

Keywords

  • n/a OA procedure
  • deterministic variables
  • exact inference
  • factor algebra
  • Bayesian networks

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