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Selection of Samples for Spectral Model Updating Based on Kernel Coefficients

https://doi.org/10.2139/ssrn.4770141
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Applicability domains and accuracy of prediction of soft sensor models
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Active learning for spectroscopic data regression
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Sample and feature augmentation strategies for calibration updating
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A chemometrician's guide to transfer learning
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A chemometrician's guide to transfer learning
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Some results on Tchebycheffian spline functions
inferredcites →https://doi.org/10.1016/j.aca.2018.02.003openalex-extracted
Calibration model maintenance in melamine resin production: Integrating drift detection, smart sample selection and model adaptation
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Simple estimate of the width in Gaussian kernel with adaptive scaling technique
inferredcites →https://doi.org/10.1016/j.chemolab.2004.11.003openalex-extracted
Selection and weighting of samples in multivariate regression model updating
inferredcites →https://doi.org/10.1016/j.chemolab.2015.09.001openalex-extracted
Design of a reference value-based sample-selection method and evaluation of its prediction capability
inferredcites →https://doi.org/10.1016/j.chemolab.2021.104352openalex-extracted
Cost-efficient unsupervised sample selection for multivariate calibration
inferredcites →https://doi.org/10.1016/j.talanta.2005.03.025openalex-extracted
A method for calibration and validation subset partitioning
inferredcites →https://doi.org/10.1016/s0003-2670(97)00296-1openalex-extracted
Characterisation of the representativity of selected sets of samples in multivariate calibration and pattern recognition
inferredcites →https://doi.org/10.1016/s0169-7439(99)00016-7openalex-extracted
Weighting schemes for updating regression models—a theoretical approach
inferredcites →https://doi.org/10.1016/s0893-6080(03)00169-2openalex-extracted
Practical selection of SVM parameters and noise estimation for SVM regression
inferredcites →https://doi.org/10.1021/acs.analchem.8b00498openalex-extracted
Domain-Invariant Partial-Least-Squares Regression
inferredcites →https://doi.org/10.1021/ci200409xopenalex-extracted
Machine Learning Methods for Property Prediction in Chemoinformatics:Quo Vadis?
inferredcites →https://doi.org/10.1023/a:1026289910256openalex-extracted
On the Kernel Widths in Radial-Basis Function Networks
inferredcites →https://doi.org/10.1080/00401706.1969.10490666openalex-extracted
Computer Aided Design of Experiments
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