• DocumentCode
    533224
  • Title

    Sample reduction based on kernel squared Mahalanobis distance for support vector machines

  • Author

    Zou, Xiao-Lin ; Liu, Xiao-Zhang

  • Author_Institution
    Fac. of Math. & Inf. Sci., Zhaoqing Univ., Zhaoqing, China
  • Volume
    11
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    This paper presents a sample reduction algorithm based on kernel squared Mahalanobis distance, as a sampling preprocessing for SVM training to improve the scalability. Experimental results show that, the proposed algorithm is effective for reducing training samples for nonlinear SVMs.
  • Keywords
    sampling methods; support vector machines; kernel squared Mahalanobis distance; nonlinear SVM; sample reduction algorithm; sampling preprocessing; support vector machine; Computer applications; Covariance matrix; Kernel; Modeling; Support vector machines; Symmetric matrices; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5623208
  • Filename
    5623208
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=533224