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Learning Graphical Models With Hubs
We consider the problem of learning a high-dimensional graphical model in which there are a few hub nodes that are densely-connected to many other nodes. Many authors have studied the use of an ℓ(1) penalty in order to learn a sparse graph in the high-dimensional setting. However, the ℓ(1) penalty i...
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| Publicado no: | J Mach Learn Res |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4302963/ https://ncbi.nlm.nih.gov/pubmed/25620891 |
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