A hybrid stochastic interpolation and compression method for kernel matrices
Kernel functions play an important role in a wide range of scientific computing and machine learning problems. These functions lead to dense kernel matrices that impose great challenges in computational costs at large scale. In this paper, we develop a set of fast kernel matrix compressing algorithm...
| Publié dans: | Journal of computational physics. - 1986. - 494(2023) vom: 01. Dez. |
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| Auteur principal: | |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2023
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| Accès à la collection: | Journal of computational physics |
| Sujets: | Journal Article 60B20 65F30 68W20 Fast kernel compressing Matrix approximation Randomized algorithm Secondary hybrid method polyharmonic spline interpolation |
| Accès en ligne |
Volltext |