0493290 - ÚI 2019 RIV IE eng A - Abstrakt
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]
Grant CEP: GA ČR GA17-01251S
Grant ostatní: ČVUT(CZ) SGS17/193/OHK4/3T/14; GA MŠk(CZ) LM2015042
Institucionální podpora: RVO:67985807
Klíčová slova: Metalearing * Surrogate model * Gaussian process * Random forest * Exploratory landscape analysis
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Web výsledku:
https://www.ies.uni-kassel.de/p/ial2018/ialatecml2018.pdf
Trvalý link: http://hdl.handle.net/11104/0286679