Search results
- 1.0560688 - ÚI 2023 eng A - Abstract
Holeňa, Martin
Fuzzification of some Statistical Principles of GUHA.
[Beauty of Logic II. Conference in honour of Petr Hajek's 70th birthday. Prague, 06.02.2010-08.02.2010]
Method of presentation: Přednáška
Event organizer: Institute of Computer Science AS CR
Institutional support: RVO:67985807
http://www.cs.cas.cz/beautyoflogic/
Permanent Link: https://hdl.handle.net/11104/0333546 - 2.0560687 - ÚI 2023 eng A - Abstract
Holeňa, Martin
Knowledge discovery for black-box optimization.
[ISCAMI 2017. International Student Conference on Applied Mathematics and Informatics. Malenovice, 08.06.2017-09.06.2017]
Method of presentation: Zvaná přednáška
Event organizer: Czech Technical University
Institutional support: RVO:67985807
https://irafm.osu.cz/iscami2017/Text/invited2b81.php?MenuItemId=3
Permanent Link: https://hdl.handle.net/11104/0333545 - 3.0560686 - ÚI 2023 CZ eng A - Abstract
Holeňa, Martin
Machine Learning Alleviates the Dilemma of Black-Box Optimization.
FSTA 2022 Book of Abstracts. Ostrava: University of Ostrava, 2022 - (Stupňanová, A.; Dyba, M.; Pavliska, V.). s. 15-16. ISBN 978-80-7599-299-4.
[FSTA 2022. International Conference on Fuzzy Set Theory and Applications /16./. 30.01.2022-04.02.2022, Liptovský Ján]
https://fsta.sk/invited_speakers.html
Permanent Link: https://hdl.handle.net/11104/0333544 - 4.0506867 - ÚI 2020 RIV US eng A - Abstract
Bajer, Lukáš - Pitra, Zbyněk - Repický, Jakub - Holeňa, Martin
Gaussian Process Surrogate Models for the CMA-ES.
GECCO '19. Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York: ACM, 2019. s. 17-18. ISBN 978-1-4503-6748-6.
[GECCO 2019: The Genetic and Evolutionary Computation Conference. 13.07.2019-17.07.2019, Prague]
R&D Projects: GA ČR GA17-01251S; GA ČR(CZ) GA18-18080S
Institutional support: RVO:67985807
Keywords : black-box optimization * evolutionary optimization * surrogate modelling * Gaussian process
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent Link: http://hdl.handle.net/11104/0298001 - 5.0493712 - ÚI 2019 CZ eng A - Abstract
Pulc, Petr - Holeňa, Martin
Towards Real-time Motion Estimation in High-Definition Video Based on Points of Interest.
FedCSIS Book of Abstracts. Prague, 2017. s. 27-27.
[FedCSIS 2017. Federated Conference on Computer Science and Information Systems. 03.09.2017-06.09.2017, Prague]
Permanent Link: http://hdl.handle.net/11104/0287038File Download Size Commentary Version Access a0493712.pdf 2 135.6 KB Publisher’s postprint open-access - 6.0493292 - ÚI 2019 RIV IE eng A - Abstract
Repický, Jakub - Pitra, Zbyněk - Holeňa, Martin
Adaptive Selection of Gaussian Process Model for Active Learning in Expensive Optimization.
ECML PKDD 2018: Workshop on Interactive Adaptive Learning. Proceedings. Dublin, 2018 - (Krempl, G.; Lemaire, V.; Kottke, D.; Calma, A.; Holzinger, A.; Polikar, R.; Sick, B.). s. 80-84
[ECML PKDD 2018: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. 10.09.2018-14.09.2018, Dublin]
R&D Projects: GA ČR GA17-01251S
Institutional support: RVO:67985807
Keywords : Gaussian process * Surrogate model * Black-box optimization * Active Learning
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://www.ies.uni-kassel.de/p/ial2018/ialatecml2018.pdf
Permanent Link: http://hdl.handle.net/11104/0286678File Download Size Commentary Version Access a0493292.pdf 7 715 KB Sborník dostupný online. Publisher’s postprint open-access - 7.0493290 - ÚI 2019 RIV IE eng A - Abstract
Pitra, Zbyněk - Repický, Jakub - Holeňa, Martin
Transfer of Knowledge for Surrogate Model Selection in Cost-Aware Optimization.
ECML PKDD 2018: Workshop on Interactive Adaptive Learning. Proceedings. Dublin, 2018 - (Krempl, G.; Lemaire, V.; Kottke, D.; Calma, A.; Holzinger, A.; Polikar, R.; Sick, B.). s. 89-94
[ECML PKDD 2018: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. 10.09.2018-14.09.2018, Dublin]
R&D Projects: GA ČR GA17-01251S
Grant - others:ČVUT(CZ) SGS17/193/OHK4/3T/14; GA MŠk(CZ) LM2015042
Institutional support: RVO:67985807
Keywords : Metalearing * Surrogate model * Gaussian process * Random forest * Exploratory landscape analysis
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://www.ies.uni-kassel.de/p/ial2018/ialatecml2018.pdf
Permanent Link: http://hdl.handle.net/11104/0286679File Download Size Commentary Version Access a0493290.pdf 23 568.2 KB Sborník dostupný online. Publisher’s postprint open-access - 8.0477787 - ÚI 2018 US eng A - Abstract
Pitra, Z. - Bajer, L. - Repický, J. - Holeňa, Martin
Ordinal versus metric gaussian process regression in surrogate modelling for CMA evolution strategy.
GECCO 2017. Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York: ACM, 2017. s. 177-178. ISBN 978-1-4503-4939-0.
[GECCO 2017. Genetic and Evolutionary Computation Conference. 15.07.2017-19.07.2017, Berlin]
R&D Projects: GA ČR GA17-01251S
Grant - others:GA MŠk(CZ) LO1611; ČVUT(CZ) SGS17/193/OHK4/3T/14
Institutional support: RVO:67985807
Keywords : black-box optimization * evolutionary optimization * surrogate modelling * Gaussian-process regression
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0274011File Download Size Commentary Version Access a0477787.pdf 2 668.9 KB Publisher’s postprint require - 9.0405273 - UIVT-O 330532 DE eng A - Abstract
Holeňa, Martin - Rodemerck, U. - Baerns, M.
Genetic Algorithms and Neural networks - Efficient Tools for the Search for New Catalysts by High-Throughput Experiments.
ACA - Statusseminar. Abstracts der Vorträge und Poster. Berlin: Institut für Angevandte Chemie, 2003.
[Statusseminar 2002, Berlin]
Keywords : genetic algorithms * neural networks
Permanent Link: http://hdl.handle.net/11104/0125454 - 10.0405204 - UIVT-O 330366 DE eng A - Abstract
Grubert, G. - Cholinska, L. - Kolf, S. - Holeňa, Martin - Baerns, M. - Vauthey, I. - Farrusseng, D. - Pels, J.R. - Stobbe, E.
Development of New Catalytic Materials for the Water-Gas Shift Reaction by using High-Throughput Experimentation and Evolutionary Approach.
XXXVI. Jahrestreffen Deutscher Katalytiker. Berlin: Institut für Angevandte Chemie, 2003. s. 343-344.
[Jahrestreffen Deutscher Katalytiker /36./. 19.03.2003-21.03.2003, Weimar]
Subject RIV: BB - Applied Statistics, Operational Research
Permanent Link: http://hdl.handle.net/11104/0125397