A comparative study on the performance of covariance functions in gaussian process regression model : Application to global wheat price

A comparative study on the performance of covariance functions in gaussian process regression model : Application to global wheat price

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Gaussian Process Regression (GPR) is a nonparametric machine learning model that provides uncertainty quantification in making predictions. GPR utilizes several covariance functions (CFs) in the process of developing models to ensure high accuracy. There are five common CFs in GPR, which are the Rad...

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Bibliographic Details
Main Authors: Nahamizun, Maamor, Hanita, Daud, Muhammad Naeim, Mohd Aris, Nor Izzati, Jaini, Mahmod, Othman, Evizal, Abdul Kadir
Format: Article
Language:English
Published: Semarak Ilmu Publishing 2024
Subjects:
HD Industries. Land use. Labor
Q Science (General)
QA Mathematics
T Technology (General)
Online Access:http://umpir.ump.edu.my/id/eprint/41357/1/A%20comparative%20study%20on%20the%20performance%20of%20covariance%20functions%20in%20gaussian.pdf

Internet

http://umpir.ump.edu.my/id/eprint/41357/1/A%20comparative%20study%20on%20the%20performance%20of%20covariance%20functions%20in%20gaussian.pdf

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