• DocumentCode
    2053289
  • Title

    A new multi-class support vector machines

  • Author

    Dong, Xin ; Zhaohui, Wu ; Yunhe, Pan

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Zhejiang Univ., Hangzhou, China
  • Volume
    3
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1673
  • Abstract
    A new classification using support vectors is presented. Support vector machines that learn classification problem are specific to use hyperplane. We propose a novel approach that contains support vectors describing the hypersphere to separate the samples. We also generalize it in multi-class classification phrase. The experiment results on UCI datasets are presented
  • Keywords
    classification; learning automata; UCI datasets; classification; hyperplane; hypersphere; multiclass support vector machines; Computer science; Constraint optimization; Kernel; Lagrangian functions; Pattern recognition; Shape; Support vector machine classification; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 2001 IEEE International Conference on
  • Conference_Location
    Tucson, AZ
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-7087-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2001.973525
  • Filename
    973525
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2053289