• DocumentCode
    3286917
  • Title

    Loss functions analysis in support vector regression

  • Author

    Popov, A.A. ; Sautin, A.S.

  • Volume
    01
  • fYear
    2008
  • fDate
    23-25 Sept. 2008
  • Firstpage
    198
  • Lastpage
    198
  • Abstract
    Laplace, Huber, Gauss and epsilon-insensitive loss functions in support vector regression are analyzed. Dual problem formulations and investigation results using these functions are presented. It is shown that the use of epsilon-insensitive loss function could result in biased solution.
  • Keywords
    regression analysis; support vector machines; Gauss loss functions analysis; Huber loss functions analysis; Laplace loss functiond analysis; epsilon-insensitive loss functions analysis; support vector regression; Equations; Least squares methods; Parameter estimation; Power system modeling; Predictive models; Probability distribution; Random variables; Robustness; Statistical analysis; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Instrument Engineering, 2008. APEIE 2008. 9th International Conference on Actual Problems of
  • Conference_Location
    Novosibirsk
  • Print_ISBN
    978-1-4244-2825-0
  • Type

    conf

  • DOI
    10.1109/APEIE.2008.4897179
  • Filename
    4897179
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3286917