Paper Title:
Research on Smooth Support Vector Regression Based on Hermite
  Abstract

Polynomial smooth techniques are applied to Support Vector Regression model by an accurate smooth approximation which is offered by Hermite Interpolation polynomial. We use Hermite Interpolation to generate a new polynomial smooth function which is proposed for the function in ε-insensitive support vector regression of interpolation functions. Their important property is discussed. It can be shown that the approximation accuracy and smoothing rank of polynomial functions can be as high as required.

  Info
Periodical
Advanced Materials Research (Volumes 255-260)
Edited by
Jingying Zhao
Pages
2215-2219
DOI
10.4028/www.scientific.net/AMR.255-260.2215
Citation
B. Ren, L. L. Cheng, "Research on Smooth Support Vector Regression Based on Hermite", Advanced Materials Research, Vols. 255-260, pp. 2215-2219, 2011
Online since
May 2011
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$32.00
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