A Comparison Between Estimating The Parameters of The Gaussian Process Regression Model Using The Maximum Likelihood and The Restricted Maximum Likelihood Methods
Gaussian process regression models are used as statistical representations of computational models, due to their flexibility in capturing the shape of smooth functions. The Gaussian process regression model has a number of parameters, the estimation of which is an essential step towards building the...
| Main Authors: | , |
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| Format: | Article |
| Language: | Arabic |
| Published: |
College of Education for Pure Sciences
2024-12-01
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| Series: | مجلة التربية والعلم |
| Subjects: | |
| Online Access: | https://edusj.uomosul.edu.iq/article_184630_f6c72933f08d19b02a03f6b5ca0248f1.pdf |