• DocumentCode
    3008580
  • Title

    Revised online learning with kernels for classification and regression

  • Author

    Guoqi Li ; Ning Ning ; Ramanathan, Kannan ; Luping Shi

  • Author_Institution
    Data Storage Inst., A*STAR, Singapore, Singapore
  • fYear
    2013
  • fDate
    16-19 April 2013
  • Firstpage
    275
  • Lastpage
    279
  • Abstract
    Revised algorithm for online learning with kernels (OLK) in classification and regression is proposed in a reproducing kernel hilbert space (RKHS). Compared with the original OLK, the revised algorithm allows that the new data points arrive either one by one or two by two.
  • Keywords
    Hilbert spaces; learning (artificial intelligence); pattern classification; regression analysis; OLK; RKHS; classification; data points; online learning with kernels; regression; reproducing kernel Hilbert space; revised algorithm; Art; Data mining; Hilbert space; Kernel; Optimization; Support vector machines; Classification; Online Learning with Kernels; Regression; Reproducing Kernel Hilbert Space;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Data Mining (CIDM), 2013 IEEE Symposium on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/CIDM.2013.6597247
  • Filename
    6597247
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3008580