• DocumentCode
    3629702
  • Title

    Sequential training of Support Vector Machine

  • Author

    Ivica M. Markovic;Branimir T. Todorovic

  • Author_Institution
    Faculty of Electronics, Department of Computer Science, University of Nis, Yugoslavia
  • fYear
    2008
  • Firstpage
    37
  • Lastpage
    42
  • Abstract
    In this paper we present efficient implementation of an algorithm for sequential training of Support Vector Machine. Algorithm is obtained by maintaining Karush-Kuhn-Tucker optimality conditions while learning from new example. We have tested the performance of our implementation on widely recognized classification benchmark tests.
  • Keywords
    "Support vector machines","Support vector machine classification","Data mining","Machine learning","Benchmark testing","Kernel","Training data","Electronic mail","Neural networks","Sequential analysis"
  • Publisher
    ieee
  • Conference_Titel
    Neural Network Applications in Electrical Engineering, 2008. NEUREL 2008. 9th Symposium on
  • Print_ISBN
    978-1-4244-2903-5
  • Type

    conf

  • DOI
    10.1109/NEUREL.2008.4685556
  • Filename
    4685556
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3629702