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  1. 1.
    0568613 - ÚI 2024 RIV CH eng C - Conference Paper (international conference)
    Vidnerová, Petra - Kalina, Jan
    Multi-objective Bayesian Optimization for Neural Architecture Search.
    Artificial Intelligence and Soft Computing. 21st International Conference, ICAISC 2022. Proceedings, Part I. Cham: Springer, 2023 - (Rutkowski, L.; Scherer, R.; Korytkowski, M.; Pedrycz, W.; Tadeusiewicz, R.; Zurada, J.), s. 144-153. Lecture Notes in Computer Science, 13588. ISBN 978-3-031-23491-0. ISSN 0302-9743.
    [ICAISC 2022: International Conference on Artificial Intelligence and Soft Computing /21./. Zakopane (PL), 18.06.2022-22.06.2022]
    R&D Projects: GA ČR(CZ) GA22-02067S
    Institutional support: RVO:67985807
    Keywords : Bayesian optimization * Multi-objective optimization * Neural architecture search * Number of parameters
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    https://dx.doi.org/10.1007/978-3-031-23492-7_13
    Permanent Link: https://hdl.handle.net/11104/0339882
     
     
  2. 2.
    0542182 - GFÚ 2022 RIV CZ eng J - Journal Article
    Kolář, Petr - Petružálek, Matěj
    Type analysis of laboratory seismic events by convolutional neural networks.
    Acta geodynamica et geomaterialia. Roč. 18, č. 2 (2021), s. 267-277. ISSN 1214-9705. E-ISSN 2336-4351
    R&D Projects: GA ČR(CZ) GA21-26542S
    Institutional support: RVO:67985530 ; RVO:67985831
    Keywords : convolutional neural network * machine learning * earthquake identification * acoustic emission * seismic signal processing * Bayesian optimization
    OECD category: Volcanology; Volcanology (GLU-S)
    Impact factor: 1.000, year: 2021
    Method of publishing: Open access
    https://www.irsm.cas.cz/index_en.php?page=acta_detail_doi&id=398
    Permanent Link: http://hdl.handle.net/11104/0319659
    FileDownloadSizeCommentaryVersionAccess
    Kolar2021AGG.pdf13.6 MBPublisher’s postprintopen-access
     
     
  3. 3.
    0080797 - ÚI 2007 RIV CZ eng J - Journal Article
    Kramosil, Ivan
    Decision-Making under Uncertainty Processed by Lattice-Valued Possibilistic Measures.
    [Rozhodování za nejistoty s použitím posibilistických měr s hodnotami ve svazu.]
    Kybernetika. Roč. 42, č. 6 (2006), s. 629-646. ISSN 0023-5954
    R&D Projects: GA AV ČR IAA100300503
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : decision making under uncertainty * complete lattice * lattice-valued possibilistic measures * possibilistic decision functions * minimax and Bayesian optimization
    Subject RIV: BA - General Mathematics
    Impact factor: 0.293, year: 2006
    http://dml.cz/handle/10338.dmlcz/135741
    Permanent Link: http://hdl.handle.net/11104/0144861
    FileDownloadSizeCommentaryVersionAccess
    Kybernetika_42-2006-6_1.pdf0666.5 KBPublisher’s postprintopen-access
     
     


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