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Titel:

Adapted variable precision rough set approach for EEG analysis.

Dokumenttyp:
Comparative Study; Journal Article; Research Support, Non-U.S. Gov't
Autor(en):
Ningler, M; Stockmanns, G; Schneider, G; Kochs, HD; Kochs, E
Abstract:
OBJECTIVE: Rough set theory (RST) provides powerful methods for reduction of attributes and creation of decision rules, which have successfully been applied in numerous medical applications. The variable precision rough set model (VPRS model), an extension of the original rough set approach, tolerates some degree of misclassification of the training data. The basic idea of the VPRS model is to change the class information of those objects whose class information cannot be induced without contrad...     »
Zeitschriftentitel:
Artif Intell Med
Jahr:
2009
Band / Volume:
47
Heft / Issue:
3
Seitenangaben Beitrag:
239-61
Sprache:
eng
Volltext / DOI:
doi:10.1016/j.artmed.2009.07.004
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/19729288
Print-ISSN:
0933-3657
TUM Einrichtung:
Klinik für Anästhesiologie (DHM)
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