Learning “best” kernels from data in Gaussian process regression. With application to aerodynamics

Research article (Journal of Computational Physics, 2022) · cited 25× · AI/ML
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Learning “best” kernels from data in Gaussian process regression. With application to aerodynamics

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Learning “best” kernels from data in Gaussian process regression. With application to aerodynamics is a scholarly article[1].

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  • Learning “best” kernels from data in Gaussian process regression. With application to aerodynamics's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Learning “best” kernels from data in Gaussian process regression. With application to aerodynamics. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-best-kernels-from-data-in-gaussian-process-regression-with-application-to-aerodynamics
MLA “Learning “best” kernels from data in Gaussian process regression. With application to aerodynamics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-best-kernels-from-data-in-gaussian-process-regression-with-application-to-aerodynamics.
BibTeX @misc{4ortxyz_learning-best-kernels-from-data-in-gaussian-process-regression-with-application-to-aerodynamics_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning “best” kernels from data in Gaussian process regression. With application to aerodynamics}}, year = {2026}, url = {https://4ort.xyz/entity/learning-best-kernels-from-data-in-gaussian-process-regression-with-application-to-aerodynamics}, note = {Accessed: 2026-05-24}}
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