Comparing support vector machines to PLS for spectral regression applications
Top Cited Papers
- 28 October 2004
- journal article
- Published by Elsevier BV in Chemometrics and Intelligent Laboratory Systems
- Vol. 73 (2), 169-179
- https://doi.org/10.1016/j.chemolab.2004.01.002
Abstract
No abstract availableThis publication has 18 references indexed in Scilit:
- Using support vector machines for time series predictionChemometrics and Intelligent Laboratory Systems, 2003
- Chemometrics in spectroscopy. Part 1. Classical chemometricsSpectrochimica Acta Part B: Atomic Spectroscopy, 2003
- Applicational aspects of support vector machinesJournal of Chemometrics, 2002
- Mutlivariate calibration with Raman data using fast principal component regression and partial least squares methodsAnalytica Chimica Acta, 2001
- Development of robust calibration models in near infra-red spectrometric applicationsAnalytica Chimica Acta, 2000
- Comparison of Multivariate Calibration Techniques Applied to Experimental NIR Data SetsApplied Spectroscopy, 2000
- Development of a Robust Calibration Model for Nonlinear In-Line Process DataAnalytical Chemistry, 2000
- Correction of Temperature-Induced Spectral Variation by Continuous Piecewise Direct StandardizationAnalytical Chemistry, 2000
- Influence of Temperature on Vibrational Spectra and Consequences for the Predictive Ability of Multivariate ModelsAnalytical Chemistry, 1998
- Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance SpectraApplied Spectroscopy, 1989