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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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| Vydáno v: | IEEE Trans Inf Theory |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2019
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| Témata: | |
| On-line přístup: | 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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