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An Uncertainty-Based Objective Function for Hyperparameter Optimization in Gaussian Processes Applied to Expensive Black-Box Problems

Lualdi, Pietro and Sturm, Ralf and Camero, Andres and Siefkes, Prof. Dr. Tjark (2024) An Uncertainty-Based Objective Function for Hyperparameter Optimization in Gaussian Processes Applied to Expensive Black-Box Problems. Applied Soft Computing. Elsevier. doi: 10.1016/j.asoc.2024.111325. ISSN 1568-4946.

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Official URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4373902


Item URL in elib:https://elib.dlr.de/197663/
Document Type:Article
Title:An Uncertainty-Based Objective Function for Hyperparameter Optimization in Gaussian Processes Applied to Expensive Black-Box Problems
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Lualdi, PietroUNSPECIFIEDhttps://orcid.org/0000-0001-9722-6185UNSPECIFIED
Sturm, RalfUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Camero, AndresUNSPECIFIEDhttps://orcid.org/0000-0002-8152-9381UNSPECIFIED
Siefkes, Prof. Dr. TjarkUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2024
Journal or Publication Title:Applied Soft Computing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.1016/j.asoc.2024.111325
Publisher:Elsevier
Series Name:Applied Soft Computing
ISSN:1568-4946
Status:Published
Keywords:Marginal Likelihood · Gaussian Processes · Uncertainty · Global Surrogate Modelling · Crashworthiness Optimization · Hyperparameter Optimization
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - FFAE - Fahrzeugkonzepte, Fahrzeugstruktur, Antriebsstrang und Energiemanagement, R - Artificial Intelligence
Location: Oberpfaffenhofen , Stuttgart
Institutes and Institutions:Institute of Vehicle Concepts > Vehicle Architectures and Lightweight Design Concepts
Remote Sensing Technology Institute > EO Data Science
Deposited By: Lualdi, Pietro
Deposited On:03 Nov 2023 12:28
Last Modified:26 Mar 2024 14:31

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