Comparison of partial least squares regression, least squares support vector machines, and Gaussian process regression for a near infrared calibration

Gaussian Process Retrieval of Chlorophyll Content From Imaging Spectroscopy Data

(2012) Jochem Verrelst et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

A Gaussian process framework for modelling instrumental systematics: application to transmission spectroscopy

(2011) N. P. Gibson et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Inverse, Classical, Empirical and Non-Parametric Calibrations in a Bayesian Framework

(2010) Tom Fearn et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY

Bayesian variable selection for Gaussian process regression: Application to chemometric calibration of spectrometers

(2010) Tao Chen et al.   NEUROCOMPUTING

Coupled Simulated Annealing

(2009) S. Xavier-de-Souza et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Quantitative analysis of routine chemical constituents in tobacco by near-infrared spectroscopy and support vector machine

(2008) Yong Zhang et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY