Generating random Bayesian networks with constraints on induced width

Jaime S. Ide, Fabio G. Cozman, Fabio T. Ramos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present algorithms for the generation of uniformly distributed Bayesian networks with constraints on induced width. The algorithms use ergodic Markov chains to generate samples. The introduction of constraints on induced width leads to realistic networks but requires new techniques. A tool that generates random networks is presented and applications are discussed.
Original languageAmerican English
Title of host publicationGenerating random Bayesian networks with constraints on induced width
Pages353-357
Number of pages5
ISBN (Electronic)9781586034528
StatePublished - 1 Jan 2004
Externally publishedYes
EventFrontiers in Artificial Intelligence and Applications -
Duration: 1 Jan 2004 → …

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume110
ISSN (Print)0922-6389

Conference

ConferenceFrontiers in Artificial Intelligence and Applications
Period1/01/04 → …

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