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Exploiting Supervised Principal Component Analysis for Efficient High‐Dimensional Kriging Modeling.

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Title: Exploiting Supervised Principal Component Analysis for Efficient High‐Dimensional Kriging Modeling.
Authors: Chen, Haiying1 (AUTHOR), Shen, Jingfang1 (AUTHOR), Li, Yaohui1,2 (AUTHOR) liyaohui1008@163.com, Zhang, Zebin3 (AUTHOR), Liu, Wenwei4 (AUTHOR) wenwei2009@163.com, Sánchez-Nungaray, Armando (AUTHOR) armsanchez@uv.mx
Source: International Journal of Mathematics & Mathematical Sciences. 4/20/2026, Vol. 2026, p1-18. 18p.
Database: Academic Search Ultimate
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  Data: Exploiting Supervised Principal Component Analysis for Efficient High‐Dimensional Kriging Modeling.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Mathematics+%26+Mathematical+Sciences%22">International Journal of Mathematics & Mathematical Sciences</searchLink>. 4/20/2026, Vol. 2026, p1-18. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193121830
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1155/ijmm/6147880
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      – Code: eng
        Text: English
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        PageCount: 18
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      – TitleFull: Exploiting Supervised Principal Component Analysis for Efficient High‐Dimensional Kriging Modeling.
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            NameFull: Chen, Haiying
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            NameFull: Shen, Jingfang
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            NameFull: Li, Yaohui
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            NameFull: Liu, Wenwei
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              M: 04
              Text: 4/20/2026
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              Y: 2026
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