• DocumentCode
    539332
  • Title

    An incremental learning algorithm for SVM based on voting principle

  • Author

    Hai, Yang ; He, Wei ; Fan, Lei

  • Author_Institution
    Coll. of Sci., Minzu Univ. of China, Beijing, China
  • fYear
    2010
  • fDate
    Nov. 30 2010-Dec. 2 2010
  • Firstpage
    420
  • Lastpage
    423
  • Abstract
    In this paper, we mainly adopt the voting combination method to implement the incremental learning for SVM. The incremental learning algorithm proposed by this paper has contained two parts in order to tackle different types of incremental learning cases, the first part is to deal with the on-line incremental learning and the second part is to deal with the batch incremental learning. In the final, we make the experiment to verify the validity and efficiency of such algorithm.
  • Keywords
    learning (artificial intelligence); support vector machines; SVM; incremental learning algorithm; voting combination method; voting principle; SVM; Voting; batch incremental learning; on-line incremental learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Management and Service (IMS), 2010 6th International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-8599-4
  • Electronic_ISBN
    978-89-88678-32-9
  • Type

    conf

  • Filename
    5713486