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Locally Smoothed Gaussian Process Regression

Research article (Procedia Computer Science, 2022) · cited 11× · AI/ML
academia openalex:W4312319778
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Locally Smoothed Gaussian Process Regression

Summary

Locally Smoothed Gaussian Process Regression is a scholarly article[1].

Key Facts

  • Locally Smoothed Gaussian Process Regression'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). Locally Smoothed Gaussian Process Regression. Retrieved May 24, 2026, from https://4ort.xyz/entity/locally-smoothed-gaussian-process-regression
MLA “Locally Smoothed Gaussian Process Regression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/locally-smoothed-gaussian-process-regression.
BibTeX @misc{4ortxyz_locally-smoothed-gaussian-process-regression_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Locally Smoothed Gaussian Process Regression}}, year = {2026}, url = {https://4ort.xyz/entity/locally-smoothed-gaussian-process-regression}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Locally Smoothed Gaussian Process Regression — https://4ort.xyz/entity/locally-smoothed-gaussian-process-regression (retrieved 2026-05-24)

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