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Random Fourier Features Based Gaussian Process Models for Computer Experiments with Quantitative and Qualitative Inputs.

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Title: Random Fourier Features Based Gaussian Process Models for Computer Experiments with Quantitative and Qualitative Inputs.
Authors: Oliveira, Kessys1, Chien, Peter1, peter.chien@wisc.edu
Source: Technometrics; Nov2026, Vol. 68 Issue 4, p750-765, 16p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 197906061
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Random Fourier Features Based Gaussian Process Models for Computer Experiments with Quantitative and Qualitative Inputs.
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  Data: <searchLink fieldCode="JN" term="%22Technometrics%22">Technometrics</searchLink>; Nov2026, Vol. 68 Issue 4, p750-765, 16p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=197906061
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      – Type: doi
        Value: 10.1080/00401706.2026.2671443
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 750
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      – TitleFull: Random Fourier Features Based Gaussian Process Models for Computer Experiments with Quantitative and Qualitative Inputs.
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            NameFull: Oliveira, Kessys
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              M: 11
              Text: Nov2026
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              Y: 2026
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              Value: 68
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