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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, RIDSource 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 File Download Size Commentary Version Access a0493292.pdf 7 715 KB Sborník dostupný online. Publisher’s postprint open-access
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