Semi-supervised machine learning approaches for predicting the chronology of archaeological sites: A case study of temples from medieval Angkor, Cambodia

Sarah Klassen; Jonathan Weed; Damian Evans

doi:10.1371/journal.pone.0205649

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Open Access

Peer-reviewed

Research Article

Semi-supervised machine learning approaches for predicting the chronology of archaeological sites: A case study of temples from medieval Angkor, Cambodia

Sarah Klassen ,

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Writing – original draft, Writing – review & editing

* E-mail: sarah.e.klassen@gmail.com

Affiliation Arizona State University, School of Social Change and Human Evolution, Tempe, AZ, United States of America

http://orcid.org/0000-0001-5110-713X

⨯
Jonathan Weed,

Roles Conceptualization, Formal analysis, Methodology, Writing – review & editing

Affiliation Massachusetts Institute of Technology, Department of Mathematics, Cambridge, MA, United States of America
⨯
Damian Evans

Roles Data curation, Resources, Writing – review & editing

Affiliation École française d'Extrême-Orient, Paris, France

http://orcid.org/0000-0003-0320-4319

⨯

Semi-supervised machine learning approaches for predicting the chronology of archaeological sites: A case study of temples from medieval Angkor, Cambodia

Sarah Klassen,
Jonathan Weed,
Damian Evans

Published: November 5, 2018
https://doi.org/10.1371/journal.pone.0205649

About the Authors

Sarah Klassen

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Writing – original draft, Writing – review & editing

* E-mail: sarah.e.klassen@gmail.com

Affiliation Arizona State University, School of Social Change and Human Evolution, Tempe, AZ, United States of America

http://orcid.org/0000-0001-5110-713X

Jonathan Weed

Roles Conceptualization, Formal analysis, Methodology, Writing – review & editing

Affiliation Massachusetts Institute of Technology, Department of Mathematics, Cambridge, MA, United States of America

Damian Evans

Roles Data curation, Resources, Writing – review & editing

Affiliation École française d'Extrême-Orient, Paris, France

http://orcid.org/0000-0003-0320-4319

Competing Interests

The authors have declared that no competing interests exist.

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Built structures
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Archaeological dating
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Archaeology
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Machine learning
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Machine learning algorithms
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Radioactive carbon dating
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Linear regression analysis
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