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Supervised kernel principal component analysis-polynomial chaos-Kriging for high-dimensional surrogate modelling and optimization
Research article (Knowledge-Based Systems, 2024) · cited 84× · AI/ML
Supervised kernel principal component analysis-polynomial chaos-Kriging for high-dimensional surrogate modelling and optimization
Summary
Supervised kernel principal component analysis-polynomial chaos-Kriging for high-dimensional surrogate modelling and optimization is a scholarly article[1].
Key Facts
Supervised kernel principal component analysis-polynomial chaos-Kriging for high-dimensional surrogate modelling and optimization's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). Supervised kernel principal component analysis-polynomial chaos-Kriging for high-dimensional surrogate modelling and optimization. Retrieved May 24, 2026, from https://4ort.xyz/entity/supervised-kernel-principal-component-analysis-polynomial-chaos-kriging-for-high-dimensional-surrogate-modelling-and-opt
MLA“Supervised kernel principal component analysis-polynomial chaos-Kriging for high-dimensional surrogate modelling and optimization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/supervised-kernel-principal-component-analysis-polynomial-chaos-kriging-for-high-dimensional-surrogate-modelling-and-opt.
BibTeX@misc{4ortxyz_supervised-kernel-principal-component-analysis-polynomial-chaos-kriging-for-high-dimensional-surrogate-modelling-and-opt_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Supervised kernel principal component analysis-polynomial chaos-Kriging for high-dimensional surrogate modelling and optimization}}, year = {2026}, url = {https://4ort.xyz/entity/supervised-kernel-principal-component-analysis-polynomial-chaos-kriging-for-high-dimensional-surrogate-modelling-and-opt}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Supervised kernel principal component analysis-polynomial chaos-Kriging for high-dimensional surrogate modelling and optimization — https://4ort.xyz/entity/supervised-kernel-principal-component-analysis-polynomial-chaos-kriging-for-high-dimensional-surrogate-modelling-and-opt (retrieved 2026-05-24)
