Your browser doesn't support javascript.
loading
A model based on Bayesian confirmation and machine learning algorithms to aid archaeological interpretation by integrating incompatible data.
Vos, Daniella; Stafford, Richard; Jenkins, Emma L; Garrard, Andrew.
Affiliation
  • Vos D; Department of Archaeology and Anthropology, Faculty of Science and Technology, Bournemouth University, Poole, United Kingdom.
  • Stafford R; Department of Life and Environmental Sciences, Faculty of Science and Technology, Bournemouth University, Poole, United Kingdom.
  • Jenkins EL; Department of Archaeology and Anthropology, Faculty of Science and Technology, Bournemouth University, Poole, United Kingdom.
  • Garrard A; Institute of Archaeology, University College London, London, United Kingdom.
PLoS One ; 16(3): e0248261, 2021.
Article in En | MEDLINE | ID: mdl-33788845
Subject(s)
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Archaeology / Bayes Theorem / Machine Learning Type of study: Prognostic_studies Language: En Journal: PLoS One Year: 2021 Document type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Archaeology / Bayes Theorem / Machine Learning Type of study: Prognostic_studies Language: En Journal: PLoS One Year: 2021 Document type: Article