Machine-learning based reconstructions of primary and secondary climate variables from North American and European fossil pollen data
Abstract 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 reconstruct...
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| Auteurs principaux: | , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2019
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| Accès en ligne: | https://doaj.org/article/b8548e10953e4fd095bb0a622c57d84b |
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