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A unified approach for sparse dynamical system inference from temporal measurements
MOTIVATION: Temporal variations in biological systems and more generally in natural sciences are typically modeled as a set of ordinary, partial or stochastic differential or difference equations. Algorithms for learning the structure and the parameters of a dynamical system are distinguished based...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6748758/ https://www.ncbi.nlm.nih.gov/pubmed/30715136 http://dx.doi.org/10.1093/bioinformatics/btz065 |