Unsupervised Learning Universal Critical Behavior via the Intrinsic Dimension

The identification of universal properties from minimally processed data sets is one goal of machine learning techniques applied to statistical physics. Here, we study how the minimum number of variables needed to accurately describe the important features of a data set—the intrinsic dimension (I_{d...

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Auteurs principaux: T. Mendes-Santos, X. Turkeshi, M. Dalmonte, Alex Rodriguez
Format: article
Langue:EN
Publié: American Physical Society 2021
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Accès en ligne:https://doaj.org/article/022d2f65518840b0bedc492738de178e
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