Application of Bayesian decision theory to constrained classification networks

Hendrik J. Vos

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

    Original languageUndefined
    Title of host publicationClassification, Clustering, and Data Analysis
    EditorsK. Kajuga, A. Sokolowski, H. Bock
    Place of PublicationHeidelberg
    PublisherSpringer
    Pages185-190
    Number of pages492
    ISBN (Print)3-540-43691
    Publication statusPublished - 2002

    Keywords

    • METIS-209520

    Cite this

    Vos, H. J. (2002). Application of Bayesian decision theory to constrained classification networks. In K. Kajuga, A. Sokolowski, & H. Bock (Eds.), Classification, Clustering, and Data Analysis (pp. 185-190). Heidelberg: Springer.
    Vos, Hendrik J. / Application of Bayesian decision theory to constrained classification networks. Classification, Clustering, and Data Analysis. editor / K. Kajuga ; A. Sokolowski ; H. Bock. Heidelberg : Springer, 2002. pp. 185-190
    @inbook{ea9559bd589c414d9003a9e54b513a0f,
    title = "Application of Bayesian decision theory to constrained classification networks",
    keywords = "METIS-209520",
    author = "Vos, {Hendrik J.}",
    year = "2002",
    language = "Undefined",
    isbn = "3-540-43691",
    pages = "185--190",
    editor = "K. Kajuga and A. Sokolowski and H. Bock",
    booktitle = "Classification, Clustering, and Data Analysis",
    publisher = "Springer",

    }

    Vos, HJ 2002, Application of Bayesian decision theory to constrained classification networks. in K Kajuga, A Sokolowski & H Bock (eds), Classification, Clustering, and Data Analysis. Springer, Heidelberg, pp. 185-190.

    Application of Bayesian decision theory to constrained classification networks. / Vos, Hendrik J.

    Classification, Clustering, and Data Analysis. ed. / K. Kajuga; A. Sokolowski; H. Bock. Heidelberg : Springer, 2002. p. 185-190.

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

    TY - CHAP

    T1 - Application of Bayesian decision theory to constrained classification networks

    AU - Vos, Hendrik J.

    PY - 2002

    Y1 - 2002

    KW - METIS-209520

    M3 - Chapter

    SN - 3-540-43691

    SP - 185

    EP - 190

    BT - Classification, Clustering, and Data Analysis

    A2 - Kajuga, K.

    A2 - Sokolowski, A.

    A2 - Bock, H.

    PB - Springer

    CY - Heidelberg

    ER -

    Vos HJ. Application of Bayesian decision theory to constrained classification networks. In Kajuga K, Sokolowski A, Bock H, editors, Classification, Clustering, and Data Analysis. Heidelberg: Springer. 2002. p. 185-190