Optimal criteria and their asymptotic form for data selection in data-driven reduced-order modelling with Gaussian process regression
We derive criteria for the selection of datapoints used for data-driven reduced-order modelling and other areas of supervised learning based on Gaussian process regression (GPR). While this is a well-studied area in the fields of active learning and optimal experimental design, most criteria in the...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
The Royal Society
2024
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| Online Access: | https://hdl.handle.net/1721.1/154218 |