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Benchmarking Gaussian Processes and Random Forests Surrogate Models on the BBOB Noiseless Testbed
- 1.0446912 - ÚI 2016 RIV US eng C - Conference Paper (international conference)
Bajer, Lukáš - Pitra, Z. - Holeňa, Martin
Benchmarking Gaussian Processes and Random Forests Surrogate Models on the BBOB Noiseless Testbed.
GECCO Companion '15. Genetic and Evolutionary Computation Conference. Companion Material Proceedings. New York: ACM, 2015 - (Silva, S.), s. 1143-1150. ISBN 978-1-4503-3488-4.
[GECCO Companion '15. Genetic and Evolutionary Computation Conference. Madrid (ES), 11.07.2015-15.07.2015]
R&D Projects: GA ČR GA13-17187S
Grant - others:ČVUT(CZ) SGS14/205/OHK4/3T/14; GA MŠk(CZ) ED2.1.00/03.0078; GA MŠk(CZ) LM2010005
Institutional support: RVO:67985807
Keywords : benchmarking * black-box optimization * surrogate model * Gaussian process * random forest
Subject RIV: IN - Informatics, Computer Science
Cited: 5
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--- SALEEM, S. - GALLAGHER, M. - WOOD, I. A Model-Based Framework for Black-Box Problem Comparison Using Gaussian Processes. PARALLEL PROBLEM SOLVING FROM NATURE - PPSN XV, PT II. ISSN 0302-9743, 2018, vol. 11102, p. 284-295. [WOS]
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Number of the records: 1