Kernel-Based Nonparametric Regression Method

Authors:
Dongling Zhang;Yingjie Tian;Peng Zhang
Affiliations:
-;-;-
Venue:
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Year:
2008

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Abstract

Regression is a basic statistical tool in data mining, which is to predict the relationship between a dependent variable and one or more independent variables. Parametric and nonparametric regression are two kinds of regression approach used for various problems. In this paper, we proposed a kernel-based nonparametric regression method, which can solve nonlinear regression problem properly by mapping the data to a higher-dimensional space by kernel function. With this method, we conducted a series of experiments on nonlinear function and real world regression problems, and the results reveal the effectiveness of the model.