Comparison of Gaussian process regression, partial least squares, random forest and support vector machines for a near infrared calibration of paracetamol samples-Reference-Cited by-同舟云学术

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

Published:2022-01 Issue: Volume:4 Page:100508
ISSN:2211-7156
Container-title:Results in Chemistry
language:en
Short-container-title:Results in Chemistry

Author:

Sow Aminata,Traore Issiaka,Diallo Tidiane,Traore Mohamed,Ba Abdramane

Funder

Styrelsen för Internationellt Utvecklingssamarbete

Uppsala Universitet

Publisher

Elsevier BV

Subject

General Chemistry

Reference38 articles.

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3. some comments on maximum likelihood and partial least squares methods;Dijkstra;Journal of Econometrics,1983

4. Partleast squares are regression: A tutorial;Geladi;Analytica Chimica Acta,1986

5. Kramer, R. (1998).Chemometric Techniques for Quantitative Analysis. Marcel-Dekker.ISBN978-0-8247-0198-7.

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