Ordinal Decision-Tree-Based Ensemble Approaches: The Case of Controlling the Daily Local Growth Rate of the COVID-19 Epidemic

Research article (Entropy, 2020) · cited 25× · AI/ML
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Ordinal Decision-Tree-Based Ensemble Approaches: The Case of Controlling the Daily Local Growth Rate of the COVID-19 Epidemic

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Ordinal Decision-Tree-Based Ensemble Approaches: The Case of Controlling the Daily Local Growth Rate of the COVID-19 Epidemic is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Ordinal Decision-Tree-Based Ensemble Approaches: The Case of Controlling the Daily Local Growth Rate of the COVID-19 Epidemic. Retrieved May 24, 2026, from https://4ort.xyz/entity/ordinal-decision-tree-based-ensemble-approaches-the-case-of-controlling-the-daily-local-growth-rate-of-the-covid-19-epid
MLA “Ordinal Decision-Tree-Based Ensemble Approaches: The Case of Controlling the Daily Local Growth Rate of the COVID-19 Epidemic.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ordinal-decision-tree-based-ensemble-approaches-the-case-of-controlling-the-daily-local-growth-rate-of-the-covid-19-epid.
BibTeX @misc{4ortxyz_ordinal-decision-tree-based-ensemble-approaches-the-case-of-controlling-the-daily-local-growth-rate-of-the-covid-19-epid_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Ordinal Decision-Tree-Based Ensemble Approaches: The Case of Controlling the Daily Local Growth Rate of the COVID-19 Epidemic}}, year = {2026}, url = {https://4ort.xyz/entity/ordinal-decision-tree-based-ensemble-approaches-the-case-of-controlling-the-daily-local-growth-rate-of-the-covid-19-epid}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Ordinal Decision-Tree-Based Ensemble Approaches: The Case of Controlling the Daily Local Growth Rate of the COVID-19 Epidemic — https://4ort.xyz/entity/ordinal-decision-tree-based-ensemble-approaches-the-case-of-controlling-the-daily-local-growth-rate-of-the-covid-19-epid (retrieved 2026-05-24)

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