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  • To perform efficient inference in Bayesian networks by means of a Junction Tree method, the network graph needs to be triangulated. The quality of this triangulation largely determines the efficiency of the subsequent inference, but the triangulation problem is unfortunately NP-hard. It is common for existing methods to use the treewidth criterion for optimality of a triangulation. However, this criterion may lead to a somewhat harder inference problem than the total table size criterion. We therefore investigate new methods for depth-first search and best-first search for finding optimal total table size triangulations. The search methods are made faster by efficient dynamic maintenance of the cliques of a graph. This problem was investigated by Stix, and in this paper we derive a new simple method based on the Bron-Kerbosch algorithm that compares favourably to Stix' approach. The new approach is generic in the sense that it can be used with other algorithms than just Bron-Kerbosch.
  • To perform efficient inference in Bayesian networks by means of a Junction Tree method, the network graph needs to be triangulated. The quality of this triangulation largely determines the efficiency of the subsequent inference, but the triangulation problem is unfortunately NP-hard. It is common for existing methods to use the treewidth criterion for optimality of a triangulation. However, this criterion may lead to a somewhat harder inference problem than the total table size criterion. We therefore investigate new methods for depth-first search and best-first search for finding optimal total table size triangulations. The search methods are made faster by efficient dynamic maintenance of the cliques of a graph. This problem was investigated by Stix, and in this paper we derive a new simple method based on the Bron-Kerbosch algorithm that compares favourably to Stix' approach. The new approach is generic in the sense that it can be used with other algorithms than just Bron-Kerbosch. (en)
Title
  • All roads lead to Rome - New search methods for the optimal triangulation problem
  • All roads lead to Rome - New search methods for the optimal triangulation problem (en)
skos:prefLabel
  • All roads lead to Rome - New search methods for the optimal triangulation problem
  • All roads lead to Rome - New search methods for the optimal triangulation problem (en)
skos:notation
  • RIV/67985556:_____/12:00384920!RIV13-MSM-67985556
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • I, P(1M0572), P(GA201/09/1891), P(GEICC/08/E010)
http://linked.open...iv/cisloPeriodika
  • 9
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 121697
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  • RIV/67985556:_____/12:00384920
http://linked.open...riv/jazykVysledku
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  • Bayesian networks; Optimal triangulation; Probabilistic inference; Cliques in a graph (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [03A783E52ABA]
http://linked.open...i/riv/nazevZdroje
  • International Journal of Approximate Reasoning
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http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 53
http://linked.open...iv/tvurceVysledku
  • Vomlel, Jiří
  • Ottosen, T. J.
http://linked.open...ain/vavai/riv/wos
  • 000311461700005
issn
  • 0888-613X
number of pages
http://bibframe.org/vocab/doi
  • 10.1016/j.ijar.2012.06.006
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