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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...
Tallennettuna:
| Julkaisussa: | Proc Natl Acad Sci U S A |
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| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
National Academy of Sciences
2019
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| Aiheet: | |
| Linkit: | 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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