Advancing predictive modeling in archaeology: An evaluation of regression and machine learning methods on the Grand Staircase-Escalante National Monument

Predictive models are central to both archaeological research and cultural resource management. Yet, archaeological applications of predictive models are often insufficient due to small training data sets, inadequate statistical techniques, and a lack of theoretical insight to explain the responses...

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Detalles Bibliográficos
Autores principales: Yaworsky, Peter M., Vernon, Kenneth B., Spangler, Jerry D., Brewer, Simon C., Codding, Brian F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7529236/
https://www.ncbi.nlm.nih.gov/pubmed/33002016
http://dx.doi.org/10.1371/journal.pone.0239424

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7529236/
https://www.ncbi.nlm.nih.gov/pubmed/33002016
http://dx.doi.org/10.1371/journal.pone.0239424

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