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Pathway Graphical Lasso
Graphical models provide a rich framework for summarizing the dependencies among variables. The graphical lasso approach attempts to learn the structure of a Gaussian graphical model (GGM) by maximizing the log likelihood of the data, subject to an l(1) penalty on the elements of the inverse co-vari...
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| Pubblicato in: | Proc AAAI Conf Artif Intell |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4497513/ https://ncbi.nlm.nih.gov/pubmed/26167394 |
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