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Volumn , Issue , 2013, Pages 650-655

A full smooth semi-support vector machine based on the cubic spline function

Author keywords

classification; semi supervised; smooth; spline; support vector machine

Indexed keywords

ALGORITHMS; BIOMEDICAL ENGINEERING; CLASSIFICATION (OF INFORMATION); INFORMATION SCIENCE; SUPPORT VECTOR MACHINES;

EID: 84896290778     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BMEI.2013.6747020     Document Type: Conference Paper
Times cited : (2)

References (15)
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  • 2
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    • Support vector machines for automated recognition of obstructive sleep apnea syndrome from ecg recordings
    • A. H. Khandoker, M. Palaniswami, and C. K. Karmakar, "Support Vector Machines for Automated Recognition of Obstructive Sleep Apnea Syndrome from ECG Recordings, " IEEE Trans. Information Technology in Biomedicine, Vol. 13, pp. 37-48, 2009.
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    • Khandoker, A.H.1    Palaniswami, M.2    Karmakar, C.K.3
  • 7
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    • A self-training semi-supervised support vector machine algorithm and its applications in brain computer interface
    • Hawaii, USA
    • Y. Q Li, H. Q. Li, C. T. Cun, et al, "A Self-training Semi-supervised Support Vector Machine Algorithm and its Applications in Brain Computer Interface, '' IEEE International Conference on Acoustics, Speech and Signal Processing. Hawaii, USA, 2007.
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    • Li, Y.Q.1    Li, H.Q.2    Cun, C.T.3
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    • Polynomial smooth classification algorithm of semi-supervised support vector machines
    • Y. Q. Liu, S. Y. Liu, M. T. Gu, "Polynomial Smooth Classification Algorithm of Semi-Supervised Support Vector Machines, " Computer Science, vol. 36, no. 7, pp. 179-181, 2009.
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  • 15
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    • A general formulation of polynomial smooth support vector machines
    • J. Z. Xiong, H. Q. Yuan, H. Peng, " A General Formulation of Polynomial Smooth Support Vector Machines, " J. Computer Research and Development, vol. 45, no. 8, pp. 1346-1353, 2008.
    • (2008) J. Computer Research and Development , vol.45 , Issue.8 , pp. 1346-1353
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.