메뉴 건너뛰기




Volumn 9, Issue , 2008, Pages 203-233

Optimization techniques for semi-supervised support vector machines

Author keywords

Non convex optimization; Semi supervised learning; Support vector machines; Transductive learning

Indexed keywords

NON-CONVEX OPTIMIZATION; SEMI-SUPERVISED LEARNING; TRANSDUCTIVE LEARNING;

EID: 41549144249     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (418)

References (35)
  • 5
    • 67049145116 scopus 로고    scopus 로고
    • Semi-supervised learning using semi-definite programming
    • O. Chapelle, B. Schoëlkopf, and A. Zien, editors, MIT Press
    • T. De Bie and N. Cristianini. Semi-supervised learning using semi-definite programming. In O. Chapelle, B. Schoëlkopf, and A. Zien, editors, Semi-supervised Learning. MIT Press, 2006.
    • (2006) Semi-supervised Learning
    • De Bie, T.1    Cristianini, N.2
  • 7
    • 34247849152 scopus 로고    scopus 로고
    • Training a support vector machine in the primal
    • O. Chapelle. Training a support vector machine in the primal. Neural Computation, 19(5): 1155-1178, 2007.
    • (2007) Neural Computation , vol.19 , Issue.5 , pp. 1155-1178
    • Chapelle, O.1
  • 9
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for support vector machines
    • O. Chapelle, V. Vapnik, O. Bousquet, and S. Mukherjee. Choosing multiple parameters for support vector machines. Machine Learning, 46(1-3): 131-159, 2002.
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 131-159
    • Chapelle, O.1    Vapnik, V.2    Bousquet, O.3    Mukherjee, S.4
  • 11
    • 33749252873 scopus 로고    scopus 로고
    • O. Chapelle, B. Schölkopf, and A. Zien, editors, MIT Press, Cambridge, MA, URL
    • O. Chapelle, B. Schölkopf, and A. Zien, editors. Semi-Supervised Learning. MIT Press, Cambridge, MA, 2006b. URL http://www.kyb.tuebingen.mpg. de/ssl-book.
    • (2006) Semi-Supervised Learning
  • 12
    • 41549095583 scopus 로고    scopus 로고
    • O. Chapelle, V. Sindhwani, and S. Keerthi. Branch and bound for semi-supervised support vector machines. In Advances in Neural Information Processing Systems, 2006c.
    • O. Chapelle, V. Sindhwani, and S. Keerthi. Branch and bound for semi-supervised support vector machines. In Advances in Neural Information Processing Systems, 2006c.
  • 13
    • 0038731227 scopus 로고    scopus 로고
    • Learning with progressive transductive support vector machine
    • Y. Chen, G. Wang, and S. Dong. Learning with progressive transductive support vector machine. Pattern Recognition Letter, 24(12):1845-1855, 2003.
    • (2003) Pattern Recognition Letter , vol.24 , Issue.12 , pp. 1845-1855
    • Chen, Y.1    Wang, G.2    Dong, S.3
  • 14
    • 0003640523 scopus 로고
    • The ISOLET spoken letter database
    • 90-004, Oregon Graduate Institute
    • R. Cole, Y. Muthusamy, and M. Fanty. The ISOLET spoken letter database. Technical Report CS/E 90-004, Oregon Graduate Institute, 1990.
    • (1990) Technical Report CS/E
    • Cole, R.1    Muthusamy, Y.2    Fanty, M.3
  • 17
    • 0036454664 scopus 로고    scopus 로고
    • Semi-supervised support vector machines for unlabeled data classification
    • G. Fung and O. Mangasarian. Semi-supervised support vector machines for unlabeled data classification. Optimization Methods and Software, 15:29-44, 2001.
    • (2001) Optimization Methods and Software , vol.15 , pp. 29-44
    • Fung, G.1    Mangasarian, O.2
  • 18
    • 0001938951 scopus 로고    scopus 로고
    • Transductive inference for text classification using support vector machines
    • T. Joachims. Transductive inference for text classification using support vector machines. In International Conference on Machine Learning, 1999.
    • (1999) International Conference on Machine Learning
    • Joachims, T.1
  • 20
    • 0003840341 scopus 로고    scopus 로고
    • Columbia object image library (coil-20)
    • Technical Report CUCS-005-96, Columbia Univ, USA
    • S. A. Nene, S. K. Nayar, and H. Murase. Columbia object image library (coil-20). Technical Report CUCS-005-96, Columbia Univ., USA, 1996.
    • (1996)
    • Nene, S.A.1    Nayar, S.K.2    Murase, H.3
  • 22
    • 41549135790 scopus 로고    scopus 로고
    • A taxonomy of semi-supervised learning methods
    • O. Chapelle, B. Schölkopf, and A. Zien, editors, MIT Press
    • M. Seeger. A taxonomy of semi-supervised learning methods. In O. Chapelle, B. Schölkopf, and A. Zien, editors, Semi-Supervised Lerning. MIT Press, 2006.
    • (2006) Semi-Supervised Lerning
    • Seeger, M.1
  • 24
    • 33750373672 scopus 로고    scopus 로고
    • Large scale semi-supervised linear SVMs
    • V. Sindhwani and S. S. Keerthi. Large scale semi-supervised linear SVMs. In SIGIR, 2006.
    • (2006) SIGIR
    • Sindhwani, V.1    Keerthi, S.S.2
  • 28
    • 33749253228 scopus 로고
    • On structural risk minimization or overall risk in a problem of pattern recognition
    • V. Vapnik and A. Sterin. On structural risk minimization or overall risk in a problem of pattern recognition. Automation and Remote Control, 10(3): 1495-1503, 1977.
    • (1977) Automation and Remote Control , vol.10 , Issue.3 , pp. 1495-1503
    • Vapnik, V.1    Sterin, A.2
  • 30
    • 41549155214 scopus 로고    scopus 로고
    • On transductive support vector machines
    • J. Verducci, X. Shen, and J. Lafferty, editors, American Mathematical Society
    • L. Wang, X. Shen, and W. Pan. On transductive support vector machines. In J. Verducci, X. Shen, and J. Lafferty, editors, Prediction and Discovery. American Mathematical Society, 2007.
    • (2007) Prediction and Discovery
    • Wang, L.1    Shen, X.2    Pan, W.3
  • 32
    • 0030303861 scopus 로고    scopus 로고
    • The effective energy transformation scheme as a special continuation approach to global optimization with application to molecular conformation
    • Z. Wu. The effective energy transformation scheme as a special continuation approach to global optimization with application to molecular conformation. SIAM Journal on Optimization, 6(3): 748-768, 1996.
    • (1996) SIAM Journal on Optimization , vol.6 , Issue.3 , pp. 748-768
    • Wu, Z.1
  • 35
    • 26444592207 scopus 로고    scopus 로고
    • Learning from labeled and unlabeled data with label propagation
    • Technical Report 02-107, CMU-CALD
    • X. Zhu and Z. Ghahramani. Learning from labeled and unlabeled data with label propagation. Technical Report 02-107, CMU-CALD, 2002.
    • (2002)
    • Zhu, X.1    Ghahramani, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.