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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Autores principales: T. Mendes-Santos, X. Turkeshi, M. Dalmonte, Alex Rodriguez
Formato: article
Lenguaje:EN
Publicado: American Physical Society 2021
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Acceso en línea:https://doaj.org/article/022d2f65518840b0bedc492738de178e
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