Adaptive Selection of Gaussian Process Model for Active Learning in Expensive Optimization

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SYSNO	0493292
Title	Adaptive Selection of Gaussian Process Model for Active Learning in Expensive Optimization
Author(s)	Repický, Jakub (UIVT-O)_{ORCID, SAI} Pitra, Zbyněk (UIVT-O)_{RID, ORCID, SAI} Holeňa, Martin (UIVT-O)_{SAI, RID}
Source Title	ECML PKDD 2018: Workshop on Interactive Adaptive Learning. Proceedings. S. 80-84. - Dublin, 2018 / Krempl G. ; Lemaire V. ; Kottke D. ; Calma A. ; Holzinger A. ; Polikar R. ; Sick B.
Conference	ECML PKDD 2018: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 10.09.2018, Dublin - 14.09.2018
Document Type	Abstrakt
Grant	GA17-01251S GA ČR - Czech Science Foundation (CSF)
Institutional support	UIVT-O - RVO:67985807
Language	eng
Country	IE
Keywords	Gaussian process * Surrogate model * Black-box optimization * Active Learning
URL	https://www.ies.uni-kassel.de/p/ial2018/ialatecml2018.pdf
Permanent Link	http://hdl.handle.net/11104/0286678

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	a0493292.pdf	7	715 KB	Sborník dostupný online.	Publisher’s postprint	open-access

Number of the records: 1