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Regularized EM algorithm for sparse parameter estimation in nonlinear dynamic systems with application to gene regulatory network inference
Parameter estimation in dynamic systems finds applications in various disciplines, including system biology. The well-known expectation-maximization (EM) algorithm is a popular method and has been widely used to solve system identification and parameter estimation problems. However, the conventional...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2014
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3998071/ https://ncbi.nlm.nih.gov/pubmed/24708632 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1687-4153-2014-5 |
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