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Visualizing probabilistic models and data with Intensive Principal Component Analysis

Unsupervised learning makes manifest the underlying structure of data without curated training and specific problem definitions. However, the inference of relationships between data points is frustrated by the “curse of dimensionality” in high dimensions. Inspired by replica theory from statistical...

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Podrobná bibliografie
Vydáno v:Proc Natl Acad Sci U S A
Hlavní autoři: Quinn, Katherine N., Clement, Colin B., De Bernardis, Francesco, Niemack, Michael D., Sethna, James P.
Médium: Artigo
Jazyk:Inglês
Vydáno: National Academy of Sciences 2019
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6628833/
https://ncbi.nlm.nih.gov/pubmed/31235593
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1817218116
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