Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 8
Articles | Volume 14, issue 8
https://doi.org/10.5194/gmd-14-5205-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-5205-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 8
Development and technical paper
 | 
18 Aug 2021
Development and technical paper |  | 18 Aug 2021

Copula-based synthetic data augmentation for machine-learning emulators

David Meyer, Thomas Nagler, and Robin J. Hogan

Data sets

Data archive for paper "Copula-based synthetic data augmentation for machine learning emulators" David Meyer https://doi.org/10.5281/zenodo.5150327

Model code and software

Data archive for paper "Copula-based synthetic data augmentation for machine learning emulators" David Meyer https://doi.org/10.5281/zenodo.5150327

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Short summary
A major limitation in training machine-learning emulators is often caused by the lack of data. This paper presents a cheap way to increase the size of training datasets using statistical techniques and thereby improve the performance of machine-learning emulators.
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