• DocumentCode
    2255609
  • Title

    Some important inequalities and their application on Sugeno measure space

  • Author

    Tian, Jing-feng

  • Author_Institution
    North China Electr. Power Univ. Sci. & Technol. Coll., Baoding, China
  • Volume
    1
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    547
  • Lastpage
    551
  • Abstract
    The problem of estimating functions on the basis of indirect measurements is a universal problem of Statistical Learning Theory. In this paper, some important inequalities on Sugeno measure space are presented and proven, such as Hölder´s inequality, Minkowski inequality, and Jensen´s inequality. Furthermore, a useful theorem about the problem of estimating functions on the basis of indirect measurements on Sugeno measure space is given and proven by using Minkowski inequality and Jensen´s inequality.
  • Keywords
    learning (artificial intelligence); statistical analysis; Holder inequality; Jensen inequality; Minkowski inequality; Sugeno measure space; function estimation; statistical learning theory; Cybernetics; Eigenvalues and eigenfunctions; Extraterrestrial measurements; Mathematical model; Random variables; Statistical learning; Inequality; Statistical Learning Theory; Sugeno measure; The problem of estimating functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5581003
  • Filename
    5581003