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
Available under License : See the attached licence file.
|Divisions :||Faculty of Engineering and Physical Sciences > Chemical and Process Engineering|
|Date :||15 May 2007|
|Identification Number :||https://doi.org/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|
|Related URLs :|
|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 :||17 Jan 2015 14:34|
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