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Volumn , Issue , 2005, Pages

Co-training and expansion: Towards bridging theory and practice

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS;

EID: 84898930761     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (154)

References (16)
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    • 18744408629 scopus 로고    scopus 로고
    • Combining labeled and unlabeled data for text classification with a large number of categories
    • R. Ghani. Combining labeled and unlabeled data for text classification with a large number of categories. In Proceedings of the IEEE International Conference on Data Mining, 2001.
    • (2001) Proceedings of the IEEE International Conference on Data Mining
    • Ghani, R.1
  • 6
    • 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 Proceedings of the 16th International Conference on Machine Learning, pages 200-209, 1999.
    • (1999) th International Conference on Machine Learning , pp. 200-209
    • Joachims, T.1
  • 7
    • 0028546286 scopus 로고
    • Learning boolean formulae
    • M. Kearns, M. Li, and L. Valiant. Learning Boolean formulae. JACM, 41(6):1298-1328, 1995.
    • (1995) JACM , vol.41 , Issue.6 , pp. 1298-1328
    • Kearns, M.1    Li, M.2    Valiant, L.3
  • 11
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using EM
    • K. Nigam, A. McCallum, S. Thrun, and T. M. Mitchell. Text classification from labeled and unlabeled documents using em. Machine Learning, 39(2/3):103-134, 2000.
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 103-134
    • Nigam, K.1    McCallum, A.2    Thrun, S.3    Mitchell, T.M.4
  • 12
    • 7444250782 scopus 로고    scopus 로고
    • Large scale unstructured document classification using unlabeled data and syntactic information
    • LNCS vol. 2637, Springer
    • S. Park and B. Zhang. Large scale unstructured document classification using unlabeled data and syntactic information. In PAKDD 2003, LNCS vol. 2637, pages 88-99. Springer, 2003.
    • (2003) PAKDD 2003 , pp. 88-99
    • Park, S.1    Zhang, B.2
  • 13
    • 2142727946 scopus 로고    scopus 로고
    • Limitations of co-training for natural language learning from large datasets
    • D. Pierce and C. Cardie. Limitations of Co-Training for natural language learning from large datasets. In Proc. Conference on Empirical Methods in NLP, pages 1-9, 2001.
    • (2001) Proc. Conference on Empirical Methods in NLP , pp. 1-9
    • Pierce, D.1    Cardie, C.2
  • 16
    • 1942484430 scopus 로고    scopus 로고
    • Semi-supervised learning using Gaussian fields and harmonic functions
    • X. Zhu, Z. Ghahramani, and J. Lafferty. Semi-supervised learning using gaussian fields and harmonic functions. In Proc. 20th International Conf. Machine Learning, pages 912-912, 2003.
    • (2003) thInternational Conf. Machine Learning , pp. 912-912
    • Zhu, X.1    Ghahramani, Z.2    Lafferty, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.