Can machine-learning algorithms improve upon classical palaeoenvironmental reconstruction models?
<p>Classical palaeoenvironmental reconstruction models often incorporate biological ideas and commonly assume that the taxa comprising a fossil assemblage exhibit unimodal response functions of the environmental variable of interest. In contrast, machine-learning approaches do not rely upon an...
Saved in:
| Main Authors: | P. Sun, P. B. Holden, H. J. B. Birks |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2024-10-01
|
| Series: | Climate of the Past |
| Online Access: | https://cp.copernicus.org/articles/20/2373/2024/cp-20-2373-2024.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The palaeoenvironmental potential of bioarchaeological isotope data
by: Margaux L. C. Depaermentier, et al.
Published: (2025-07-01) -
L’intérêt de conserver un espace vert de loisirs : un objet de recherche à part entière
by: Charlotte Birks
Published: (2017-04-01) -
Maux de l'étranger. Mots de l'étrangeté dans Summertime de J.M. Coetzee
by: Cécile Birks
Published: (2015-02-01) -
Analysis of the modern distribution of South African Gerbilliscus (Rodentia: Gerbillinae) with implications for Plio-Pleistocene palaeoenvironmental reconstruction
by: Timothy Campbell, et al.
Published: (2011-01-01) -
Individual isotopic niche variation of herbivores and palaeoenvironmental reconstruction of the Mid-Pleistocene Site of Kathu Pan 1 (South Africa)
by: Daryl Codron, et al.
Published: (2024-12-01)