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Gaussian process regression for multivariate spectroscopic calibration

Chen, T, Morris, J and Martin, E (2007) Gaussian process regression for multivariate spectroscopic calibration CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 87 (1). pp. 59-67.

tchen07-chemolab.pdf - Accepted version Manuscript
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Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :
Chen, T
Morris, J
Martin, E
Date : 15 May 2007
DOI : 10.1016/j.chemolab.2006.09.004
Uncontrolled Keywords : Science & Technology, Technology, Physical Sciences, Automation & Control Systems, Chemistry, Analytical, Computer Science, Artificial Intelligence, Instruments & Instrumentation, Mathematics, Interdisciplinary Applications, Statistics & Probability, Chemistry, Computer Science, Mathematics, AUTOMATION & CONTROL SYSTEMS, CHEMISTRY, ANALYTICAL, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, INSTRUMENTS & INSTRUMENTATION, MATHEMATICS, INTERDISCIPLINARY APPLICATIONS, STATISTICS & PROBABILITY, Bayesian inference, Gaussian process, Markov chain Monte Carlo, multivariate regression, spectroscopic calibration, PRINCIPAL COMPONENTS, NEURAL NETWORKS, SPECTRA
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Additional Information : NOTICE: this is the author’s version of a work that was accepted for publication in Chemometrics and Intelligent Laboratory Systems. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Chemometrics and Intelligent Laboratory Systems, 87(1), May 2007, DOI 10.1016/j.chemolab.2006.09.004.
Depositing User : Symplectic Elements
Date Deposited : 11 Jun 2012 12:25
Last Modified : 31 Oct 2017 14:36

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