Fundamental limits to learning closed-form mathematical models from data

Given a finite and noisy dataset generated with a closed-form mathematical model, when is it possible to learn the true generating model from the data alone? This is the question we investigate here. We show that this model-learning problem displays a transition from a low-noise phase in which the t...

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Detalles Bibliográficos
Autores principales: Fajardo-Fontiveros, Oscar, Reichardt, Ignasi, De Los Ríos, Harry R., Duch, Jordi, Sales-Pardo, Marta, Guimerà, Roger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950473/
https://www.ncbi.nlm.nih.gov/pubmed/36823107
http://dx.doi.org/10.1038/s41467-023-36657-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950473/
https://www.ncbi.nlm.nih.gov/pubmed/36823107
http://dx.doi.org/10.1038/s41467-023-36657-z

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