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Approaches to Bayesian Network model construction

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Bayesian Network (BN) has sound mathematical basis, enables reasoning under uncertainty, and facilitates the update of beliefs, given new evidence. It also enables the visual representation of a model. These make BN suitable for solving uncertainty problems. This chapter details BN model construction approaches and presents our experiences with selecting the optimal construction approach.
Original languageEnglish
Title of host publicationIAENG transactions on engineering technologies: special volume of the World Congress on Engineering 2012
EditorsG. Yang, S. Ao, L. Gelman
Place of PublicationNetherlands
PublisherSpringer
Pages461-471
Number of pages11
Edition229
ISBN (Print)9789400761902
Publication statusPublished - 2013

Publication series

NameLecture notes in electrical engineering
PublisherSpringer
Number229

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