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Selecting High-Dimensional Representations of Physical Systems by Reweighted Diffusion Maps
[Image: see text] Constructing reduced representations of high-dimensional systems is a fundamental problem in physical chemistry. Many unsupervised machine learning methods can automatically find such low-dimensional representations. However, an often overlooked problem is what high-dimensional rep...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10041639/ https://www.ncbi.nlm.nih.gov/pubmed/36897996 http://dx.doi.org/10.1021/acs.jpclett.3c00265 |