How to improve machine learning models for lithofacies identification by practical and novel ensemble strategy and principles

Research article (Petroleum Science, 2022) · cited 44× · AI/ML
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How to improve machine learning models for lithofacies identification by practical and novel ensemble strategy and principles

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How to improve machine learning models for lithofacies identification by practical and novel ensemble strategy and principles is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). How to improve machine learning models for lithofacies identification by practical and novel ensemble strategy and principles. Retrieved May 24, 2026, from https://4ort.xyz/entity/how-to-improve-machine-learning-models-for-lithofacies-identification-by-practical-and-novel-ensemble-strategy-and-princ
MLA “How to improve machine learning models for lithofacies identification by practical and novel ensemble strategy and principles.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/how-to-improve-machine-learning-models-for-lithofacies-identification-by-practical-and-novel-ensemble-strategy-and-princ.
BibTeX @misc{4ortxyz_how-to-improve-machine-learning-models-for-lithofacies-identification-by-practical-and-novel-ensemble-strategy-and-princ_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{How to improve machine learning models for lithofacies identification by practical and novel ensemble strategy and principles}}, year = {2026}, url = {https://4ort.xyz/entity/how-to-improve-machine-learning-models-for-lithofacies-identification-by-practical-and-novel-ensemble-strategy-and-princ}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): How to improve machine learning models for lithofacies identification by practical and novel ensemble strategy and principles — https://4ort.xyz/entity/how-to-improve-machine-learning-models-for-lithofacies-identification-by-practical-and-novel-ensemble-strategy-and-princ (retrieved 2026-05-24)

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