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Deep Gaussian process for multi-objective Bayesian optimization.

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Bibliographic Details
Title: Deep Gaussian process for multi-objective Bayesian optimization.
Authors: Hebbal, Ali1, Balesdent, Mathieu1, mathieu.balesdent@onera.fr, Brevault, Loïc1, Melab, Nouredine2, Talbi, El-Ghazali2
Source: Optimization & Engineering; Sep2023, Vol. 24 Issue 3, p1809-1848, 40p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 169750063
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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      – Type: doi
        Value: 10.1007/s11081-022-09753-0
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      – Code: eng
        Text: English
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        PageCount: 40
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      – TitleFull: Deep Gaussian process for multi-objective Bayesian optimization.
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            NameFull: Hebbal, Ali
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            NameFull: Balesdent, Mathieu
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            NameFull: Brevault, Loïc
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            – D: 01
              M: 09
              Text: Sep2023
              Type: published
              Y: 2023
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              Value: 24
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