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Volumn 45, Issue 4, 2015, Pages 806-818

Development and Evaluation of Cost-Sensitive Universum-SVM

Author keywords

Cost sensitive support vector machine (SVM); learning through contradiction; misclassification costs; Universum SVM (U SVM)

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLUSTERING ALGORITHMS; COSTS; LEARNING SYSTEMS;

EID: 85027939240     PISSN: 21682267     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCYB.2014.2336876     Document Type: Article
Times cited : (60)

References (26)
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    • Weiss, G.M.1    McCarthy, K.2    Zabar, B.3
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  • 17
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    • Seizure prediction with spectral power of EEG using cost-sensitive support vector machines
    • Y. Park, L. Luo, K. Parhi, and T. Netoff, "Seizure prediction with spectral power of EEG using cost-sensitive support vector machines," Epilepsia, vol. 52, no. 10, pp. 1761-1770, 2011.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.