Application of Gaussian process regression as a surrogate modeling method to assess the dynamics of COVID-19 propagation
Summary
Application of Gaussian process regression as a surrogate modeling method to assess the dynamics of COVID-19 propagation is a scholarly article[1].
Key Facts
Application of Gaussian process regression as a surrogate modeling method to assess the dynamics of COVID-19 propagation's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Application of Gaussian process regression as a surrogate modeling method to assess the dynamics of COVID-19 propagation. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-gaussian-process-regression-as-a-surrogate-modeling-method-to-assess-the-dynamics-of-covid-19-propagation
MLA“Application of Gaussian process regression as a surrogate modeling method to assess the dynamics of COVID-19 propagation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-gaussian-process-regression-as-a-surrogate-modeling-method-to-assess-the-dynamics-of-covid-19-propagation.
BibTeX@misc{4ortxyz_application-of-gaussian-process-regression-as-a-surrogate-modeling-method-to-assess-the-dynamics-of-covid-19-propagation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of Gaussian process regression as a surrogate modeling method to assess the dynamics of COVID-19 propagation}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-gaussian-process-regression-as-a-surrogate-modeling-method-to-assess-the-dynamics-of-covid-19-propagation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of Gaussian process regression as a surrogate modeling method to assess the dynamics of COVID-19 propagation — https://4ort.xyz/entity/application-of-gaussian-process-regression-as-a-surrogate-modeling-method-to-assess-the-dynamics-of-covid-19-propagation (retrieved 2026-05-24)
