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...

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Auteurs principaux: Tetsuro Ueno, Hideaki Ishibashi, Hideitsu Hino, Kanta Ono
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/7d0e960186a94c6d849eea07d0d17fa7
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