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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...
Gardado en:
| Publicado en: | Proc Mach Learn Res |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2017
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6436845/ https://ncbi.nlm.nih.gov/pubmed/30931433 |
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