Title :
A Study on Piecewise Polynomial Smooth Approximation to the Plus Function
Author :
Luo, Linkai ; Lin, Chengde ; Peng, Hong ; Zhou, Qifeng
Author_Institution :
Dept. of Autom., Xiamen Univ.
Abstract :
In smooth support vector machine (SSVM), the plus function must be approximated by some smooth function, and the approximate error will affect the classification ability. This paper studies the smooth approximation to the plus function by piecewise polynomials. First, some standard piecewise polynomial smooth approximation problems are formulated. Then, the existence and uniqueness of solution for these problems are proved and the analytic solutions are achieved. The comparison between the results in this paper and the previous ones shows that the piecewise polynomial functions in this paper achieve better approximation to the plus function
Keywords :
polynomial approximation; support vector machines; piecewise polynomial smooth approximation; plus function; smooth support vector machine; Automation; Control system synthesis; Interpolation; Measurement standards; Neural networks; Optimization methods; Polynomials; Stability; Support vector machine classification; Support vector machines; PSSVM; SSVM; piecewise polynomial; smooth approximation to plus function;
Conference_Titel :
Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0341-3
Electronic_ISBN :
1-4214-042-1
DOI :
10.1109/ICARCV.2006.345199