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Volumn 27, Issue 2, 2012, Pages

Semi-supervised support vector regression based on Help-Training

Author keywords

Confidence; Help Training; k nearest neighbor; Semi supervised learning; Support vector regression

Indexed keywords

CONFIDENCE; HELP-TRAINING; K NEAREST NEIGHBOR; SEMI-SUPERVISED LEARNING; SUPPORT VECTOR REGRESSION;

EID: 84863275681     PISSN: 10010920     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (6)

References (12)
  • 2
    • 33749253228 scopus 로고
    • On structural risk minimization or overall risk in a problem of pattern recognition
    • Vapnik V, Sterin A. On structural risk minimization or overall risk in a problem of pattern recognition[J]. Automation and Remote Control, 1977, 10(3): 1495-1503.
    • (1977) Automation and Remote Control , vol.10 , Issue.3 , pp. 1495-1503
    • Vapnik, V.1    Sterin, A.2
  • 3
    • 0001938951 scopus 로고    scopus 로고
    • Transductive inference for text classification using support vector machines
    • USA: Association for Computing Machinery
    • Joachims T. Transductive inference for text classification using support vector machines[C]. Proc of the 16th Int Conf on Machine Learning. USA: Association for Computing Machinery, 1999: 200-209.
    • (1999) Proc of the 16th Int Conf on Machine Learning , pp. 200-209
    • Joachims, T.1
  • 6
    • 33749257143 scopus 로고    scopus 로고
    • A continuation method for semi-supervised SVMs
    • USA: Association for Computing Machinery
    • Chapelle O, Chi M, Zien A. A continuation method for semi-supervised SVMs[C]. Proc of the 23rd Int Conf on Machine Learning. USA: Association for Computing Machinery, 2006: 185-192.
    • (2006) Proc of the 23rd Int Conf on Machine Learning , pp. 185-192
    • Chapelle, O.1    Chi, M.2    Zien, A.3
  • 8
    • 43249086679 scopus 로고    scopus 로고
    • A self-training semi-supervised svm algorithm and its application in an eeg-based brain computer interface speller system
    • Li Y Q, Guan C, Li H, et al. A self-training semi-supervised svm algorithm and its application in an eeg-based brain computer interface speller system[J]. Pattern Recognition Letters, 2008, 29(9): 1285-1294.
    • (2008) Pattern Recognition Letters , vol.29 , Issue.9 , pp. 1285-1294
    • Li, Y.Q.1    Guan, C.2    Li, H.3
  • 9
    • 77958028444 scopus 로고    scopus 로고
    • Help-training for semisupervised discriminative classifier application to svm
    • Piscataway: IEEE
    • Adankon M M, Cheriet M. Help-training for semisupervised discriminative classifier application to svm[C]. Proc of the 19th Int Conf on Pattern Recognition. Piscataway: IEEE, 2008.
    • (2008) Proc of the 19th Int Conf on Pattern Recognition
    • Adankon, M.M.1    Cheriet, M.2
  • 10
    • 47149095559 scopus 로고    scopus 로고
    • Value approximation with least squares support vector machine in reinforcement learning system
    • Wang X S, Tian X L, Cheng Y H. Value approximation with least squares support vector machine in reinforcement learning system[J]. J of Computational and Theoretical Nanoscience, 2007, 4(7/8): 1290-1294.
    • (2007) J of Computational and Theoretical Nanoscience , vol.4 , Issue.7-8 , pp. 1290-1294
    • Wang, X.S.1    Tian, X.L.2    Cheng, Y.H.3
  • 11
    • 35348881683 scopus 로고    scopus 로고
    • Semi-supervised regression with cotraining style algorithm
    • Zhou Z H, Li M. Semi-supervised regression with cotraining style algorithm[J]. IEEE Trans on Knowledge and Data Engineering, 2007, 19(11): 1479-1493.
    • (2007) IEEE Trans on Knowledge and Data Engineering , vol.19 , Issue.11 , pp. 1479-1493
    • Zhou, Z.H.1    Li, M.2
  • 12
    • 0032638628 scopus 로고    scopus 로고
    • Least squares support vector machine classifiers
    • Suykens J A K, Vandewale 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.K.1    Vandewale, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.