Extending classical surrogate modeling to high dimensions through supervised dimensionality reduction: A data-driven approach
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Date
2020Type
- Journal Article
ETH Bibliography
yes
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Publication status
publishedJournal / series
International Journal for Uncertainty QuantificationVolume
Pages / Article No.
Publisher
Begell HouseSubject
dimensionality reduction; surrogate modeling; Kriging; Polynomial chaos expansions; kernel principal component analysis (PCA)Organisational unit
03962 - Sudret, Bruno / Sudret, Bruno
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Is new version of: https://doi.org/10.3929/ethz-b-000315672
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ETH Bibliography
yes
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