Wavelet-based estimation of a discriminant function

被引：4

作者：

Chang, WJ ^{[1
]}

Kim, SH

Vidakovic, B

机构：

[1] Rensselaer Polytech Inst, Dept Decis Sci & Engn Syst, Troy, NY 12180 USA

[2] Georgia Inst Technol, Sch Ind & Syst Engn, Atlanta, GA 30332 USA

来源：

APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY | 2003年 / 19卷 / 03期

关键词：

discrimination; wavelets; regression;

D O I：

10.1002/asmb.498

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

In this paper, we consider wavelet-based binary linear classifiers. Both consistency results and implementational issues are addressed. We show that under mild assumptions on the design density wavelet discrimination rules are L-2-consistent. The proposed method is illustrated on synthetic data sets in which the 'truth' is known and on an applied discrimination problem from the industrial field. Copyright (C) 2003 John Wiley Sons, Ltd.

引用

页码：185 / 198

页数：14

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