Novel Feature Selection Method for Nonlinear Support Vector Regression

Novel Feature Selection Method for Nonlinear Support Vector Regression

The development of sparse techniques presents a major challenge to complex nonlinear high-dimensional data. In this paper, we propose a novel feature selection method for nonlinear support vector regression, called FS-NSVR, which first attempts to solve the nonlinear feature selection problem in the...

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Bibliographic Details
Main Authors:	Kejia Xu, Ying Xu, Yafen Ye, Weijie Chen
Format:	Article
Language:	English
Published:	Wiley 2022-01-01
Series:	Complexity
Online Access:	http://dx.doi.org/10.1155/2022/4740173
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