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Exact Gaussian processes for massive datasets via non-stationary sparsity-discovering kernels
A Gaussian Process (GP) is a prominent mathematical framework for stochastic function approximation in science and engineering applications. Its success is largely attributed to the GP’s analytical tractability, robustness, and natural inclusion of uncertainty quantification. Unfortunately, the use...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011418/ https://www.ncbi.nlm.nih.gov/pubmed/36914705 http://dx.doi.org/10.1038/s41598-023-30062-8 |