About: Pattern recognition of epileptic EEG graphoelements with adaptive segmentation, supervised and unsupervised learning algorithms     Goto   Sponge   Distinct   Permalink

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  • The paper deals with pattern recognition of epileptic EEG graphoelements using adaptive segmentation, supervised and unsupervised learning algorithms for identification of EEG graphoelements of the patients with diagnosis epilepsy. The applications of cluster analysis, k-NN classifier and artificial neural networks were discussed.
  • The paper deals with pattern recognition of epileptic EEG graphoelements using adaptive segmentation, supervised and unsupervised learning algorithms for identification of EEG graphoelements of the patients with diagnosis epilepsy. The applications of cluster analysis, k-NN classifier and artificial neural networks were discussed. (en)
Title
  • Pattern recognition of epileptic EEG graphoelements with adaptive segmentation, supervised and unsupervised learning algorithms
  • Pattern recognition of epileptic EEG graphoelements with adaptive segmentation, supervised and unsupervised learning algorithms (en)
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  • Pattern recognition of epileptic EEG graphoelements with adaptive segmentation, supervised and unsupervised learning algorithms
  • Pattern recognition of epileptic EEG graphoelements with adaptive segmentation, supervised and unsupervised learning algorithms (en)
skos:notation
  • RIV/68407700:21460/12:00201617!RIV13-MSM-21460___
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  • RIV/68407700:21460/12:00201617
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  • EEG; pattern recognition (en)
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  • [D6BAC2638FAE]
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  • Krajča, Vladimír
  • Hozman, Jiří
  • Mohylová, J.
  • Petranek, S.
http://bibframe.org/vocab/doi
  • 10.1515/bmt-2012-4219
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  • 21460
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