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Ghost hunting in the nonlinear dynamic machine
Integrating dynamic systems modeling and machine learning generates an exploratory nonlinear solution for analyzing dynamical systems-based data. Applying dynamical systems theory to the machine learning solution further provides a pathway to interpret the results. Using random forest models as an i...
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| Pubblicato in: | PLoS One |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6922341/ https://ncbi.nlm.nih.gov/pubmed/31856235 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0226572 |
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