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Volumn 1, Issue , 2008, Pages 323-333

Semi-supervised classification with universum

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; GRAPHIC METHODS; SUPERVISED LEARNING;

EID: 52649111664     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972788.29     Document Type: Conference Paper
Times cited : (58)

References (14)
  • 1
    • 9444289383 scopus 로고    scopus 로고
    • Regularization and semi-supervised learning on large graphs
    • Springer Berlin, Heidelberg, January
    • M. Belkin, I. Matveeva, and P. Niyogi. Regularization and semi-supervised learning on large graphs. In COLT, volume 3120, pages 624-638. Springer Berlin / Heidelberg, January 2004.
    • (2004) COLT , vol.3120 , pp. 624-638
    • Belkin, M.1    Matveeva, I.2    Niyogi, P.3
  • 5
    • 52649155052 scopus 로고    scopus 로고
    • T. Joachims. Transductive inference for text classification using support vector machines. In I. Bratko and S. Dzeroski, editors, Proceedings of ICML-99, 16th International Conference on Machine Learning, pages 200-209, Bled, SL, 1999. Morgan Kaufmann Publishers, San Francisco, US.
    • T. Joachims. Transductive inference for text classification using support vector machines. In I. Bratko and S. Dzeroski, editors, Proceedings of ICML-99, 16th International Conference on Machine Learning, pages 200-209, Bled, SL, 1999. Morgan Kaufmann Publishers, San Francisco, US.
  • 6
    • 1942484960 scopus 로고    scopus 로고
    • Transductive learning via spectral graph partitioning
    • T. Joachims. Transductive learning via spectral graph partitioning. In ICML, pages 290-297, 2003.
    • (2003) ICML , pp. 290-297
    • Joachims, T.1
  • 9
  • 11
    • 52649156999 scopus 로고    scopus 로고
    • M. Wu and Scholköpf. Transductive classification via local learning regularization. In Proceedings of the 11th International Conference on Artificial Intelligence and Statistics, pages 624-631, 03 2007.
    • M. Wu and Scholköpf. Transductive classification via local learning regularization. In Proceedings of the 11th International Conference on Artificial Intelligence and Statistics, pages 624-631, 03 2007.
  • 13
    • 1942484430 scopus 로고    scopus 로고
    • Semisupervised learning using gaussian fields and harmonic functions
    • August 21-24, Washington, DC USA
    • X. Zhu, Z. Ghahramani, and J. Lafferty. Semisupervised learning using gaussian fields and harmonic functions. In The Twentieth International Conference on Machine Learning, August 21-24, 2003, Washington, DC USA, pages 912-919, 2003.
    • (2003) The Twentieth International Conference on Machine Learning , pp. 912-919
    • Zhu, X.1    Ghahramani, Z.2    Lafferty, J.3
  • 14
    • 1942484430 scopus 로고    scopus 로고
    • Semisupervised learning using gaussian fields and harmonic functions
    • X. Zhu, Z. Ghahramani, and J. D. Lafferty. Semisupervised learning using gaussian fields and harmonic functions. In ICML, pages 912-919, 2003.
    • (2003) ICML , pp. 912-919
    • Zhu, X.1    Ghahramani, Z.2    Lafferty, J.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.