Subspace Gaussian process regression model for ensemble nonlinear multivariate spectroscopic calibration

Junhua Zheng; Yingkai Gong; Wei Liu; Le Zhou

doi:10.1016/j.chemolab.2022.104673

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Subspace Gaussian process regression model for ensemble nonlinear multivariate spectroscopic calibration

Junhua Zheng Yingkai Gong Wei Liu Le Zhou

Year: 2022 Journal: Chemometrics and Intelligent Laboratory Systems Vol: 230 Pages: 104673-104673 Publisher: Elsevier BV

DOI: 10.1016/j.chemolab.2022.104673

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Keywords:

Linear subspace Subspace topology Random subspace method Robustness (evolution) Principal component analysis Kriging Ground-penetrating radar Mathematics Nonlinear system Algorithm Gaussian process Gaussian Artificial intelligence Computer science Pattern recognition (psychology) Statistics Radar Physics

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Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

Water Quality Monitoring and Analysis

Physical Sciences → Environmental Science → Industrial and Manufacturing Engineering

Spectroscopy Techniques in Biomedical and Chemical Research

Life Sciences → Biochemistry, Genetics and Molecular Biology → Biophysics

Subspace Gaussian process regression model for ensemble nonlinear multivariate spectroscopic calibration

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