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Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields

Markov random fields (MRFs) are a useful tool for modeling relationships present in large and high-dimensional data. Often, this data comes from various sources and can have diverse distributions, for example a combination of numerical, binary, and categorical variables. Here, we define the pairwise...

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Dades bibliogràfiques
Publicat a:Proc Mach Learn Res
Autors principals: Park, Youngsuk, Hallac, David, Boyd, Stephen, Leskovec, Jure
Format: Artigo
Idioma:Inglês
Publicat: 2017
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6436845/
https://ncbi.nlm.nih.gov/pubmed/30931433
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