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Machine-learning based reconstructions of primary and secondary climate variables from North American and European fossil pollen data
We test several quantitative algorithms as palaeoclimate reconstruction tools for North American and European fossil pollen data, using both classical methods and newer machine-learning approaches based on regression tree ensembles and artificial neural networks. We focus on the reconstruction of se...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6825136/ https://www.ncbi.nlm.nih.gov/pubmed/31676769 http://dx.doi.org/10.1038/s41598-019-52293-4 |