Inference in credal networks through integer programming

Cassio Polpo de Campos, Fabio Gagliardi Cozman

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

21 Citations (Scopus)

Abstract

A credal network associates a directed acyclic graph with a collection of sets of probability measures; it offers a compact representation for sets of multivariate distributions. In this paper we present a new algorithm for inference in credal networks based on an integer programming reformulation. We are concerned with computation of lower/upper probabilities for a variable in a given credal network. Experiments reported in this paper indicate that this new algorithm has better performance than existing ones for some important classes of networks.

Original languageEnglish
Title of host publicationISIPTA 2007 - Proceedings of the 5th International Symposium on Imprecise Probability
Subtitle of host publicationTheories and Applications
PublisherSociety for Imprecise Probability: Theories and Applications
Pages145-154
Number of pages10
ISBN (Print)9788086742205
Publication statusPublished - 1 Dec 2007
Externally publishedYes
Event5th International Symposium on Imprecise Probability: Theories and Applications, ISIPTA 2007 - Prague, Czech Republic
Duration: 16 Jul 200719 Jul 2007

Conference

Conference5th International Symposium on Imprecise Probability: Theories and Applications, ISIPTA 2007
Country/TerritoryCzech Republic
CityPrague
Period16/07/0719/07/07

Bibliographical note

(oral presentation, blind peer reviewed by >3 reviewers)

Keywords

  • Credal networks
  • Integer programming

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