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Optimal structure and parameter learning of Ising models

Reconstruction of the structure and parameters of an Ising model from binary samples is a problem of practical importance in a variety of disciplines, ranging from statistical physics and computational biology to image processing and machine learning. The focus of the research community shifted towa...

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Detalles Bibliográficos
Autores principales: Lokhov, Andrey Y., Vuffray, Marc, Misra, Sidhant, Chertkov, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856491/
https://www.ncbi.nlm.nih.gov/pubmed/29556527
http://dx.doi.org/10.1126/sciadv.1700791