Approaches to Bayesian Network model construction

Ifeyinwa Achumba, Djamel Azzi, I. Ezebili, Sebastian Bersch

    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
    Number of pages11
    ISBN (Print)9789400761902
    Publication statusPublished - 2013

    Publication series

    NameLecture notes in electrical engineering


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