Unsupervised detection of semantic correlations in big data
Abstract In real-world data, information is stored in extremely large feature vectors. These variables are typically correlated due to complex interactions involving many features simultaneously. Such correlations qualitatively correspond to semantic roles and are naturally recognized by both the hu...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Portfolio
2025-05-01
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| Col·lecció: | Communications Physics |
| Accés en línia: | https://doi.org/10.1038/s42005-025-02115-z |
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