Qualitative evaluation of chromatographic data from quality control schemes using a support vector machine-Reference-Cited by-同舟云学术

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Qualitative evaluation of chromatographic data from quality control schemes using a support vector machine

Published:2008 Issue:1 Volume:133 Page:105-111
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Ventura M.,Sanchez-Niubo A.,Ruiz F.,Agell N.,Ventura R.,Angulo C.,Domingo-Salvany A.,Segura J.,Torre R. de la

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2008/AN/B711653P

Reference42 articles.

1. Reference materials for analytical toxicology including doping control: freeze-dried urine samples

2. V. N. Vapnik , The Nature of Statistical Learning Theory, Springer-Verlag, New York, 1995

3. V. N. Vapnik , Statistical Learning Theory, Wiley, New York, 1998

4. C. Cristianini and J.Shawe-Taylor, An Introduction to Support Vector Machines and Other Kernel-based Learning Methods, Cambridge University Press, New York, 2000

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Support vector machine regression (SVR/LS-SVM)—an alternative to neural networks (ANN) for analytical chemistry? Comparison of nonlinear methods on near infrared (NIR) spectroscopy data;The Analyst;2011

2. Research Spotlight: Bioanalysis and Analytical Services Research Group at The Municipal Institute for Medical Research IMIM-Hospital del Mar, Spain;Bioanalysis;2009-11

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