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Discovering Higher-Order Interactions Through Neural Information Decomposition

If regularity in data takes the form of higher-order functions among groups of variables, models which are biased towards lower-order functions may easily mistake the data for noise. To distinguish whether this is the case, one must be able to quantify the contribution of different orders of depende...

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Detalles Bibliográficos
Autores principales:	Reing, Kyle, Ver Steeg, Greg, Galstyan, Aram
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827712/ https://www.ncbi.nlm.nih.gov/pubmed/33430463 http://dx.doi.org/10.3390/e23010079

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