Optimal criteria and their asymptotic form for data selection in data-driven reduced-order modelling with Gaussian process regression

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...

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Bibliographic Details
Main Authors: Sapsis, Themistoklis P., Blanchard, Antoine
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Language:English
Published: The Royal Society 2024
Subjects:
General Physics and Astronomy
General Engineering
General Mathematics
Online Access:https://hdl.handle.net/1721.1/154218

Internet

https://hdl.handle.net/1721.1/154218

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