• DocumentCode
    2053948
  • Title

    The latent maximum entropy principle

  • Author

    Wang, Shaojun ; Rosenfeld, Ronald ; Zhao, Yunxin ; Schuurmans, Dale

  • Author_Institution
    Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    131
  • Abstract
    We present an extension of Jaynes´ maximum entropy principle to handle latent variables. We use an EM algorithm that incorporates nested iterative scaling to approximately calculate maximum entropy solutions for this principle, and give a proof of its convergence.
  • Keywords
    convergence of numerical methods; information theory; iterative methods; maximum entropy methods; EM algorithm; Jaynes maximum entropy principle; convergence; latent variables; nested iterative scaling; Concurrent computing; Entropy; Geographic Information Systems; Iterative algorithms; Power system modeling; Probability distribution; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on
  • Print_ISBN
    0-7803-7501-7
  • Type

    conf

  • DOI
    10.1109/ISIT.2002.1023403
  • Filename
    1023403
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2053948