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A Note on the Kullback-Leibler Divergence for the von Mises-Fisher distribution

Tom Diethe

    Research output: Contribution to journal › Article (Academic Journal)

    147 Downloads (Pure)

    Abstract

    We present a derivation of the Kullback Leibler (KL)-Divergence (also known as Relative Entropy) for the von Mises Fisher (VMF) Distribution in d-dimensions.
    Original languageEnglish
    Number of pages8
    JournalarXiv
    Publication statusPublished - 26 Feb 2015

    Bibliographical note

    8 pages 1 figure

    Research Groups and Themes

    • Digital Health
    • SPHERE

    Keywords

    • stat.ML

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      • SPHERE (EPSRC IRC)

        Craddock, I. J. (Principal Investigator), Coyle, D. T. (Principal Investigator), Flach, P. A. (Principal Investigator), Kaleshi, D. (Principal Investigator), Mirmehdi, M. (Principal Investigator), Piechocki, R. J. (Principal Investigator), Stark, B. H. (Principal Investigator), Ascione, R. (Co-Principal Investigator), Ashburn, A. M. (Collaborator), Burnett, M. E. (Collaborator), Damen, D. (Co-Principal Investigator), Gooberman-Hill, R. (Principal Investigator), Harwin, W. S. (Collaborator), Hilton, G. (Co-Principal Investigator), Holderbaum, W. (Collaborator), Holley, A. P. (Manager), Manchester, V. A. (Administrator), Meller, B. J. (Other ), Stack, E. (Collaborator) & Gilchrist, I. D. (Principal Investigator)

        1/10/13 → 30/09/18

        Project: Research, Parent

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