Hostname: page-component-8448b6f56d-jr42d Total loading time: 0 Render date: 2024-04-19T06:52:11.627Z Has data issue: false hasContentIssue false

Support Vector Machines for Classification and Quantitative Analysis

Published online by Cambridge University Press:  27 August 2014

Jeffrey M. Davis*
Affiliation:
National Institute of Standards and Technology, 100 Bureau Drive, MS 8371, Gaithersburg, MD

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Abstract
Copyright
Copyright © Microscopy Society of America 2014 

References

(1) Cortes, C., Vapnik, V. “Support-vector Networks” Machine Learning 20, 273-297 (1995.Google Scholar
(2) De Vries, J., Vrebos, B. “XRF Quantification of Infinitely Thick Samples.” Handbook of X-ray Spectrometry (1993.Google Scholar