Search results

  1. 1.
    0522793 - ÚI 2021 RIV CH eng B - Monography
    Holeňa, Martin - Pulc, P. - Kopp, M.
    Classification Methods for Internet Applications.
    Springer: Cham, 2020. 281 s. Studies in Big Data, 69. ISBN 978-3-030-36961-3
    Institutional support: RVO:67985807
    Keywords : Spam filtering * Recommender systems * Malware detection * Network intrusion detection * Random forests * Classifier comprehensibility * Support vector machines * Nearest neighbours classification * Bayesian classifiers
    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/11104/0307224
     
     
  2. 2.
    0343715 - ÚI 2011 RIV DE eng C - Conference Paper (international conference)
    Eckhardt, Alan - Vojtáš, Peter
    Combining Various Methods of Automated User Decision and Preferences Modelling.
    Modeling Decisions for Artificial Intelligence. Berlin: Springer, 2009 - (Torra, V.; Narukawa, Y.; Inuiguchi, M.), s. 172-181. Lecture Notes in Artificial Intelligence, 5861. ISBN 978-3-642-04819-7.
    [MDAI 2009. Internationa Conference on Modeling Decisions for Artificial Intelligence /6./. Awaji Island (JP), 30.11.2009-02.12.2009]
    R&D Projects: GA AV ČR 1ET100300517
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : user preferences learning * recommender systems
    Subject RIV: IN - Informatics, Computer Science
    Permanent Link: http://hdl.handle.net/11104/0186129
     
     


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