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SOFAR: Large-Scale Association Network Learning
Many modern big data applications feature large scale in both numbers of responses and predictors. Better statistical efficiency and scientific insights can be enabled by understanding the large-scale response-predictor association network structures via layers of sparse latent factors ranked by imp...
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| Pubblicato in: | IEEE Trans Inf Theory |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7970712/ https://ncbi.nlm.nih.gov/pubmed/33746241 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/tit.2019.2909889 |
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