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Investigating convergence of linear SVM implemented in PermonSVM employing MPRGP algorithm

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    SYSNO0495870
    TitleInvestigating convergence of linear SVM implemented in PermonSVM employing MPRGP algorithm
    Author(s) Kružík, Jakub (UGN-S)
    Pecha, Marek (UGN-S)
    Hapla, D. (CZ)
    Horák, David (UGN-S) SAI, ORCID
    Čermák, Martin (UGN-S)
    Corespondence/seniorKružík, Jakub - Korespondující autor
    Source Title High Performance Computing in Science and Engineering. HPCSE 2017. S. 115-129. - Cham : Springer, 2018 / Kozubek T.
    Conference HPCSE 2017: International Conference on High Performance Computing in Science and Engineering /3./, 22.05.2017 - 25.05.2017, Karolinka
    Document TypeKonferenční příspěvek (zahraniční konf.)
    Grant LQ1602 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    LM2015070, CZ - Czech Republic
    GA15-18274S, CZ - Czech Republic
    Institutional supportUGN-S - RVO:68145535
    Languageeng
    CountryCH
    Keywords MPRGP * PERMON * PermonQP * PermonSVM * quadratic programming * support vector machines
    Cooperating institutions IT4Innovations National Supercomputing Center, VŠB - Technical University of Ostrava (Czech Republic)
    Department of Applied Mathematics, VŠB - Technical University of Ostrava (Czech Republic)
    Department of Earth Sciences, ETH Zurich, Zürich (Switzerland)
    ENET Centre, VŠB - Technical University of Ostrava (Czech Republic)
    URLhttps://link.springer.com/chapter/10.1007/978-3-319-97136-0_9
    Permanent Linkhttp://hdl.handle.net/11104/0288753
    FileDownloadSizeCommentaryVersionAccess
    UGN_0495870.pdf21.1 MBAuthor’s postprintrequire
     
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