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Volumn 3, Issue , 2008, Pages 47-51

A novel semi-supervised SVM based on tri-training

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIERS; ELECTRIC NETWORK ANALYSIS; INFORMATION TECHNOLOGY;

EID: 62949086483     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IITA.2008.261     Document Type: Conference Paper
Times cited : (14)

References (15)
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    • Technical Report 1530, Department of Computer Sciences, University of Wisconsin at Madison, Madison, WI, December
    • X.J. Zhu. Semi-supervised learning literature survey[R]. Technical Report 1530, Department of Computer Sciences, University of Wisconsin at Madison, Madison, WI, December, 2007.
    • (2007)
    • Zhu, X.J.1
  • 4
    • 24044503621 scopus 로고    scopus 로고
    • Support vector machines classification and regression[R]
    • Technical Report, Department of Electronics and Computer Science, University of Southampton
    • Steve RG. Support vector machines classification and regression[R]. Technical Report, Department of Electronics and Computer Science, University of Southampton, 1998.
    • (1998)
    • Steve, R.G.1
  • 6
    • 0032638628 scopus 로고    scopus 로고
    • Least squares support vector machine classifiers [J]
    • Suykens J A, Vandewalle J. Least squares support vector machine classifiers [J]. Neural Processing Letters, 1999, 9(3): 293-300.
    • (1999) Neural Processing Letters , vol.9 , Issue.3 , pp. 293-300
    • Suykens, J.A.1    Vandewalle, J.2
  • 7
    • 0035789613 scopus 로고    scopus 로고
    • Fung G, Mangasarian O. L. Proximal Support Vector Machine Classifiers [C]. Knowledge Discovery and Data Mining, August 26-29. 2001, San Francisco, CA, New York, Association for Computing Machinery, 2001: 77-86.
    • Fung G, Mangasarian O. L. Proximal Support Vector Machine Classifiers [C]. Knowledge Discovery and Data Mining, August 26-29. 2001, San Francisco, CA, New York, Association for Computing Machinery, 2001: 77-86.
  • 10
    • 28244448186 scopus 로고    scopus 로고
    • Tri-training: Exploiting unlabeled data using three classifiers [J]
    • Zhou Z H, Li M. Tri-training: Exploiting unlabeled data using three classifiers [J]. IEEE Transactions on Knowledge and Data Engineering, 2005, 17 (11): 1529-1541.
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.11 , pp. 1529-1541
    • Zhou, Z.H.1    Li, M.2
  • 11
    • 62949189784 scopus 로고    scopus 로고
    • Richard O. Duda, Peter E. Pattern Classification (2nd Edition)[M], New York: Wiley, 2001.7.
    • Richard O. Duda, Peter E. Pattern Classification (2nd Edition)[M], New York: Wiley, 2001.7.
  • 12
    • 0000492326 scopus 로고
    • Learning from noisy examples [J]
    • D. Angluin and P. Laird, Learning from noisy examples [J], Machine Learning, vol.2, no.4, pp. 343-370, 1988.
    • (1988) Machine Learning , vol.2 , Issue.4 , pp. 343-370
    • Angluin, D.1    Laird, P.2
  • 13
    • 62949233446 scopus 로고    scopus 로고
    • UCI repository of machine learning databases
    • UCI repository of machine learning databases, http://www.ics.uci.edu/ mlearn/MLRepository.html.
  • 14
    • 62949107305 scopus 로고    scopus 로고
    • Unsupervised SVM Based on p-kernels for Anomaly Detection. ICICIC'06
    • Information and Control, Aug. 30-Sept.1, Beijing, China
    • Li Kunlun, Unsupervised SVM Based on p-kernels for Anomaly Detection. ICICIC'06, International Conference on Innovative Computing, Information and Control, Aug. 30-Sept.1, 2006, Beijing, China.
    • (2006) International Conference on Innovative Computing
    • Li, K.1
  • 15
    • 17944371143 scopus 로고    scopus 로고
    • Fuzzy multi-class support vector machine and application in intrusion detection
    • Li kunlun, Huang houkun. Fuzzy multi-class support vector machine and application in intrusion detection. Chinese Journal of Computers, 2005, 28(2): 274-280.
    • (2005) Chinese Journal of Computers , vol.28 , Issue.2 , pp. 274-280
    • Li kunlun1    Huang houkun2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.