Comparing SVM, Gaussian Process and Random Forest Surrogate Models for the CMA-ES

0447920 - ÚI 2016 RIV DE eng C - Konferenční příspěvek (zahraniční konf.)
Pitra, Z. - Bajer, Lukáš - Holeňa, Martin
Comparing SVM, Gaussian Process and Random Forest Surrogate Models for the CMA-ES.
Proceedings ITAT 2015: Information Technologies - Applications and Theory. Aachen & Charleston: Technical University & CreateSpace Independent Publishing Platform, 2015 - (Yaghob, J.), s. 186-193. CEUR Workshop Proceedings, V-1422. ISBN 978-1-5151-2065-0. ISSN 1613-0073.
[ITAT 2015. Conference on Theory and Practice of Information Technologies /15./. Slovenský Raj (SK), 17.09.2015-21.09.2015]
Grant CEP: GA ČR GA13-17187S
Grant ostatní: GA MŠk(CZ) ED2.1.00/03.0078; ČVUT(CZ) SGS14/205/OHK4/3T/14; GA MŠk(CZ) LM2010005
Institucionální podpora: RVO:67985807
Klíčová slova: black-box optimization * surrogate modelling * CMA-ES * Gaussian process * random forest
Kód oboru RIV: IN - Informatika

Citováno: 2

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Trvalý link: http://hdl.handle.net/11104/0249674