• DocumentCode
    3427599
  • Title

    Efficient Coding of Labelled Graphs

  • Author

    Almudevar, Anthony

  • Author_Institution
    Univ. of Rochester, Rochester
  • fYear
    2007
  • fDate
    2-6 Sept. 2007
  • Firstpage
    523
  • Lastpage
    528
  • Abstract
    The efficient coding of directed graphs can be of importance in data compression algorithms, as well as in graphical modelling applications in artificial intelligence and biological network reconstruction. One type of code commonly used involves the separate coding of node parent sets, and can be shown to have an asymptotic code length proportional to the number of edges. We show the existence of an alternative code, based on graph blocks, which can be shown to be of uniformly shorter length under asymptotically invariant conditions.
  • Keywords
    directed graphs; encoding; alternative code; directed graphs; efficient coding; labelled graphs; Artificial intelligence; Biological information theory; Biological system modeling; Computational biology; Context modeling; Data compression; Graphical models; Lakes; Niobium; Supervised learning; Minimum description length; graphical models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop, 2007. ITW '07. IEEE
  • Conference_Location
    Tahoe City, CA
  • Print_ISBN
    1-4244-1564-0
  • Electronic_ISBN
    1-4244-1564-0
  • Type

    conf

  • DOI
    10.1109/ITW.2007.4313129
  • Filename
    4313129