The Stochastic Complexity of Spin Models: Are Pairwise Models Really Simple?

Models can be simple for different reasons: because they yield a simple and computationally efficient interpretation of a generic dataset (e.g., in terms of pairwise dependencies)—as in statistical learning—or because they capture the laws of a specific phenomenon—as e.g., in physics—leading to non-...

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Detalles Bibliográficos
Autores principales: Beretta, Alberto, Battistin, Claudia, de Mulatier, Clélia, Mastromatteo, Iacopo, Marsili, Matteo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512302/
https://www.ncbi.nlm.nih.gov/pubmed/33265828
http://dx.doi.org/10.3390/e20100739

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512302/
https://www.ncbi.nlm.nih.gov/pubmed/33265828
http://dx.doi.org/10.3390/e20100739

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