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Supervised Machine Learning Algorithms to Predict Provenance of Archaeological Pottery Fragments

Research article (Sustainability, 2022) · cited 19× · AI/ML
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Supervised Machine Learning Algorithms to Predict Provenance of Archaeological Pottery Fragments

Summary

Supervised Machine Learning Algorithms to Predict Provenance of Archaeological Pottery Fragments is a scholarly article[1].

Key Facts

  • Supervised Machine Learning Algorithms to Predict Provenance of Archaeological Pottery Fragments's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Supervised Machine Learning Algorithms to Predict Provenance of Archaeological Pottery Fragments. Retrieved May 24, 2026, from https://4ort.xyz/entity/supervised-machine-learning-algorithms-to-predict-provenance-of-archaeological-pottery-fragments
MLA “Supervised Machine Learning Algorithms to Predict Provenance of Archaeological Pottery Fragments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/supervised-machine-learning-algorithms-to-predict-provenance-of-archaeological-pottery-fragments.
BibTeX @misc{4ortxyz_supervised-machine-learning-algorithms-to-predict-provenance-of-archaeological-pottery-fragments_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Supervised Machine Learning Algorithms to Predict Provenance of Archaeological Pottery Fragments}}, year = {2026}, url = {https://4ort.xyz/entity/supervised-machine-learning-algorithms-to-predict-provenance-of-archaeological-pottery-fragments}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Supervised Machine Learning Algorithms to Predict Provenance of Archaeological Pottery Fragments — https://4ort.xyz/entity/supervised-machine-learning-algorithms-to-predict-provenance-of-archaeological-pottery-fragments (retrieved 2026-05-24)

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