Extending classical surrogate modeling to high dimensions through supervised dimensionality reduction: A data-driven approach

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Autor(in)
Lataniotis, Christoscc
Marelli, Stefanocc
Sudret, Brunocc
Datum
2020
Typ
    Journal Article
Publikationsstatus
published
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Zeitschrift / Serie
International Journal for Uncertainty Quantification
Band
10(1)
Seiten / Artikelnummer
55 - 82
Verlag
Begell House
Thema
dimensionality reduction; surrogate modeling; Kriging; Polynomial chaos expansions; kernel principal component analysis (PCA)
Organisationseinheit
03962 - Sudret, Bruno / Sudret, Bruno  
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Zitate
37 Zitate in Web of Science
ETH Bibliographie
yes
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