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Leveraging multiple linear regression for wavelength selection

  • Published:2017-09 Issue: Volume:168 Page:121-127
  • ISSN:0169-7439
  • Container-title:Chemometrics and Intelligent Laboratory Systems
  • language:en
  • Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Lemos Tony,Kalivas John H.

Funder

National Science Foundation

CDS&E

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference41 articles.

1. A User Friendly Guide to Multivariate Calibration and Classification;Næs,2002

2. Calibration methodologies;Kalivas,2009

3. An introduction to variable and feature selection;Guuon;J. Mach. Learn. Res.,2003

4. Interval partial least-squares regression (iPLS): a comparative chemometric study with and example from near-infrared spectroscopy;Nørgaard;Appl. Spectrosc.,2000

5. Genetic algorithms as a tool for wavelength selection in multivariate calibration;Jouan-Rimbaud;Anal. Chem.,1995

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