Classification of ECG beats by using a fast least square support vector machines with a dynamic programming feature selection algorithm.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/nca/Acir05
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bibliographicCitation
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http://dblp.uni-trier.de/rec/bibtex/journals/nca/Acir05
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https://dblp.l3s.de/d2r/resource/authors/Nurettin_Acir
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http://dx.doi.org/doi.org%2F10.1007%2Fs00521-005-0466-z
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DBLP journals/nca/Acir05
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2005
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rdfs:
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Classification of ECG beats by using a fast least square support vector machines with a dynamic programming feature selection algorithm.
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https://dblp.l3s.de/d2r/resource/authors/Nurettin_Acir
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4
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299-309
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rdfs:
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dc:
subject
LSSVM; ECG beat classification; Feature selection; Dynamic programming; Backpropagation MLP
(xsd:string)
dc:
title
Classification of ECG beats by using a fast least square support vector machines with a dynamic programming feature selection algorithm.
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14
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