Comparing different machine‐learning techniques to date Nile Delta sediments based on portable X‐ray fluorescence data-Reference-Cited by-同舟云学术

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Comparing different machine‐learning techniques to date Nile Delta sediments based on portable X‐ray fluorescence data

Published:2022-11 Issue:1 Volume:38 Page:57-75
ISSN:0883-6353
Container-title:Geoarchaeology
language:en
Short-container-title:Geoarchaeology

Author:

Seeliger Martin¹^ORCID,Ginau Andreas¹,Altmeyer Marina¹,Neis Pascal²,Schiestl Robert³,Wunderlich Jürgen¹

Affiliation:

1. Department of Physical Geography Goethe University Frankfurt Frankfurt a. M. Germany

2. School of Technology, Geoinformatics and Surveying Mainz University of Applied Sciences Mainz Germany

3. Department of Ancient History Ludwig‐Maximilians‐University Munich München Germany

Publisher

Wiley

Subject

Earth and Planetary Sciences (miscellaneous),Archeology,Archeology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/gea.21939

Reference79 articles.

1. The Statistical Analysis of Compositional Data

2. Reconstruction of former channel systems in the northwestern Nile Delta (Egypt) based on corings and electrical resistivity tomography (ERT)

3. Archaeological remains as sea level change markers: A review

4. A Survey of Evolutionary Algorithms for Decision-Tree Induction

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