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Sparse inference and active learning of stochastic differential equations from data

Automatic machine learning of empirical models from experimental data has recently become possible as a result of increased availability of computational power and dedicated algorithms. Despite the successes of non-parametric inference and neural-network-based inference for empirical modelling, a ph...

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Detalles Bibliográficos
Autores principales: Huang, Yunfei, Mabrouk, Youssef, Gompper, Gerhard, Sabass, Benedikt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755218/
https://www.ncbi.nlm.nih.gov/pubmed/36522347
http://dx.doi.org/10.1038/s41598-022-25638-9