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A meta-learning method to select the kernel width in Support Vector Regression J - Článek v odborném periodikuSOARES, Carlos; Pavel BRAZDIL a Petr KUBA. A meta-learning method to select the kernel width in Support Vector Regression. Machine Learning Journal. Netherlands: Kluwer Academic Publishers, 2004, roč. 54, č. 3, s. 195-209. ISSN 0885-6125.Podrobněji: https://is.muni.cz/publication/555356/cs
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Feature construction and parameter setting for Support Vector Machines D - Stať ve sborníkuKUBA, Petr. Feature construction and parameter setting for Support Vector Machines. In Proceedings of the 2nd Conference Znalosti 2003. Ostrava: VŠB-TUO, Ostrava, 2003, s. 327-332. ISBN 80-248-0229-5.Podrobněji: https://is.muni.cz/publication/555354/cs
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Exploiting Sampling and Meta-learning for Parameter Setting for Support Vector Machines D - Stať ve sborníkuKUBA, Petr; Pavel BRAZDIL; Carlos SOARES a Adam WOZNICA. Exploiting Sampling and Meta-learning for Parameter Setting for Support Vector Machines. In Proc. of Workshop Learning and Data Mining associated with Iberamia 2002, VIII Iberoamerican Conference on Artificial Intellignce. Sevilla (Spain): University of Sevilla, 2002, s. 209-216.Podrobněji: https://is.muni.cz/publication/406638/cs