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Kernel Networks with Fixed and Variable Widths
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SYSNO ASEP 0357302 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Kernel Networks with Fixed and Variable Widths Author(s) Kůrková, Věra (UIVT-O) RID, SAI, ORCID
Kainen, P.C. (US)Source Title Adaptive and Natural Computing Algorithms. Part I, 1. - Heidelberg : Springer, 2011 / Dobnikar A. ; Lotrič U. ; Šter B. - ISSN 0302-9743 - ISBN 978-3-642-20281-0 Pages s. 12-21 Number of pages 10 s. Action ICANNGA'2011. International Conference /10./ Event date 14.04.2011-16.04.2011 VEvent location Ljubljana Country SI - Slovenia Event type WRD Language eng - English Country DE - Germany Keywords kernel models ; Gaussian kernel networks ; minimization of error functionals ; regularization Subject RIV IN - Informatics, Computer Science R&D Projects OC10047 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) ME10023 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000302389300002 EID SCOPUS 79955109377 DOI 10.1007/978-3-642-20282-7_2 Annotation The role of width in kernel models and radial-basis function networks is investigated with a special emphasis on the Gaussian case. Quantitative bounds are given on kernel-based regularization showing the effect of changing the width. These bounds are shown to be d-th powers of width ratios, and so they are exponential in the dimension of input data. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2012
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