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Data-driven inference of hidden nodes in networks
The explosion of activity in finding interactions in complex systems is driven by availability of copious observations of complex natural systems. However, such systems, e.g., the human brain, are rarely completely observable. Interaction network inference must then contend with hidden variables aff...
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| Publicado no: | Phys Rev E |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7459390/ https://ncbi.nlm.nih.gov/pubmed/31108681 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1103/PhysRevE.99.042114 |
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