Assessing Steady-State, Multivariate Experimental Data Using Gaussian Processes: The GPExp Open-Source Library
Summary
Assessing Steady-State, Multivariate Experimental Data Using Gaussian Processes: The GPExp Open-Source Library is a scholarly article[1].
Key Facts
Assessing Steady-State, Multivariate Experimental Data Using Gaussian Processes: The GPExp Open-Source Library's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). Assessing Steady-State, Multivariate Experimental Data Using Gaussian Processes: The GPExp Open-Source Library. Retrieved May 24, 2026, from https://4ort.xyz/entity/assessing-steady-state-multivariate-experimental-data-using-gaussian-processes-the-gpexp-open-source-library
MLA“Assessing Steady-State, Multivariate Experimental Data Using Gaussian Processes: The GPExp Open-Source Library.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/assessing-steady-state-multivariate-experimental-data-using-gaussian-processes-the-gpexp-open-source-library.
BibTeX@misc{4ortxyz_assessing-steady-state-multivariate-experimental-data-using-gaussian-processes-the-gpexp-open-source-library_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Assessing Steady-State, Multivariate Experimental Data Using Gaussian Processes: The GPExp Open-Source Library}}, year = {2026}, url = {https://4ort.xyz/entity/assessing-steady-state-multivariate-experimental-data-using-gaussian-processes-the-gpexp-open-source-library}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Assessing Steady-State, Multivariate Experimental Data Using Gaussian Processes: The GPExp Open-Source Library — https://4ort.xyz/entity/assessing-steady-state-multivariate-experimental-data-using-gaussian-processes-the-gpexp-open-source-library (retrieved 2026-05-24)