• DocumentCode
    3624651
  • Title

    Informative Vector Machines for Text Categorization

  • Author

    Milos Stankovic;Srdan Stankovic

  • Author_Institution
    IRITEL, Belgrade
  • fYear
    2006
  • Firstpage
    99
  • Lastpage
    102
  • Abstract
    In this paper an analysis is given of the application of Bayesian Gaussian process statistical learning algorithms to the problem of text categorization. It is demonstrated that the informative vector machine method, as a sparse Bayesian compression scheme, provides results better than those obtained so far with the support vector machine method, with much less computational cost
  • Keywords
    "Text categorization","Support vector machines","Support vector machine classification","Machine learning","Bayesian methods","Gaussian processes","Machine learning algorithms","Neural networks","Learning systems","Seminars"
  • Publisher
    ieee
  • Conference_Titel
    Neural Network Applications in Electrical Engineering, 2006. NEUREL 2006. 8th Seminar on
  • Print_ISBN
    1-4244-0432-0
  • Type

    conf

  • DOI
    10.1109/NEUREL.2006.341186
  • Filename
    4147174
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3624651