• DocumentCode
    2560709
  • Title

    An introduction interval kernel-Based methods applied on Support Vector Machines

  • Author

    Takahashi, Adriana ; Dória Neto, Adrião D. ; Bedregal, Benjamín R C

  • Author_Institution
    Fed. Univ. of Rio Grande do Norte, Natal, Brazil
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    58
  • Lastpage
    64
  • Abstract
    In this work we propose a generalized real interval kernel method applied on Support Vector Machines. Since the real interval kernel method is constructed from the real kernel method, it is reasonable to extend it to intervals on any domain which has some algebraic structure. This extension is applied on Support Vector Machines classification of interval data.
  • Keywords
    digital arithmetic; pattern classification; support vector machines; SVM; algebraic structure; data classification; interval kernel method; support vector machine; Buildings; Eigenvalues and eigenfunctions; Equations; Kernel; Support vector machines; Symmetric matrices; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2012 Eighth International Conference on
  • Conference_Location
    Chongqing
  • ISSN
    2157-9555
  • Print_ISBN
    978-1-4577-2130-4
  • Type

    conf

  • DOI
    10.1109/ICNC.2012.6234756
  • Filename
    6234756
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2560709