Automated stopping criterion for spectral measurements with active learning
Abstract The automated stopping of a spectral measurement with active learning is proposed. The optimal stopping of the measurement is realised with a stopping criterion based on the upper bound of the posterior average of the generalisation error of the Gaussian process regression. It is revealed t...
Main Authors: | Tetsuro Ueno, Hideaki Ishibashi, Hideitsu Hino, Kanta Ono |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-08-01
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Series: | npj Computational Materials |
Online Access: | https://doi.org/10.1038/s41524-021-00606-5 |
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