• DocumentCode
    2233988
  • Title

    SVM method of estimating density, conditional probability, and conditional density

  • Author

    Vapnik, V.

  • Author_Institution
    AT & T Labs. Res., USA
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    749
  • Abstract
    The problem of estimating density, conditional probability, and conditional density is considered as an ill-posed problem of solving integral equations. To solve these equations the support vector method (SVM) is used
  • Keywords
    estimation theory; integral equations; learning (artificial intelligence); probability; SVM method; conditional density; conditional probability; density estimation; integral equations; support vector method; Distribution functions; Integral equations; Probability distribution; Stochastic processes; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
  • Conference_Location
    Geneva
  • Print_ISBN
    0-7803-5482-6
  • Type

    conf

  • DOI
    10.1109/ISCAS.2000.856437
  • Filename
    856437
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2233988