Variable selection for support vector machine based multisensor systems-Reference-Cited by-同舟云学术

Variable selection for support vector machine based multisensor systems

Published:2007-03 Issue:1 Volume:122 Page:259-268
ISSN:0925-4005
Container-title:Sensors and Actuators B: Chemical
language:en
Short-container-title:Sensors and Actuators B: Chemical

Author:

Gualdrón O.,Brezmes J.,Llobet E.,Amari A.,Vilanova X.,Bouchikhi B.,Correig X.

Publisher

Elsevier BV

Subject

Materials Chemistry,Electrical and Electronic Engineering,Metals and Alloys,Surfaces, Coatings and Films,Condensed Matter Physics,Instrumentation,Electronic, Optical and Magnetic Materials

Reference21 articles.

1. Estimation of Dependencies Based on Empirical Data;Vapnik,1982

2. The necessary and sufficient conditions for the consistency of the method of empirical minimization;Vapnik;Pattern Recognit. Image Anal.,1991

3. The Nature of Statistical Learning Theory;Vapnik,1998

4. The support vector machine under test;Meyer;Neurocomputing,2003

5. Identification of CO and NO2 using a thermally resistive microsensor and support vector machine;Khalifa;IEE Proc. Sci. Meas. Technol.,2003

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