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Stability selection enables robust learning of differential equations from limited noisy data
We present a statistical learning framework for robust identification of differential equations from noisy spatio-temporal data. We address two issues that have so far limited the application of such methods, namely their robustness against noise and the need for manual parameter tuning, by proposin...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9199075/ https://www.ncbi.nlm.nih.gov/pubmed/35756878 http://dx.doi.org/10.1098/rspa.2021.0916 |