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pro vyhledávání: '"Burda, Karel"'
Autor:
Burda, Karel
The final thesis summarizes in its theoretical part basic knowledge of machine learning algorithms that involves supervised, semi-supervised, and unsupervised learning. Experiments with textual data in natural spoken language involving different mach
Externí odkaz:
http://www.nusl.cz/ntk/nusl-178641
Autor:
Pust, Radim, Burda, Karel
Publikováno v:
Radioengineering, Vol 19, Iss 4, Pp 499-506 (2010)
Radioengineering. 2010, vol. 19, č. 4, s. 499-506. ISSN 1210-2512
Radioengineering. 2010, vol. 19, č. 4, s. 499-506. ISSN 1210-2512
This article proposes a new technique of frequency hopping with collision avoidance (FH/CA). Currently there are well-known systems of frequency hopping which adapt their behavior based on previously measured data (such as PER) for individual channel
Publikováno v:
2012 14th International Symposium on Symbolic & Numeric Algorithms for Scientific Computing; 2012, p265-270, 6p
Publikováno v:
Artificial Intelligence: Methodology, Systems & Applications (9783642331848); 2012, p38-47, 10p