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Volumn 2, Issue , 2005, Pages 764-769

A hybrid generative/discriminative approach to semi-supervised classifier design

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); PROBABILISTIC LOGICS; TEXT PROCESSING;

EID: 29344468051     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (100)

References (16)
  • 4
    • 0004014502 scopus 로고    scopus 로고
    • A Gaussian prior for smoothing maximum entropy models
    • Carnegie Mellon University
    • Chen, S. F. and Rosenfeld, R. 1999. A Gaussian prior for smoothing maximum entropy models. Technical Report, Carnegie Mellon University.
    • (1999) Technical Report
    • Chen, S.F.1    Rosenfeld, R.2
  • 6
    • 84898928156 scopus 로고    scopus 로고
    • Semi-supervised learning by entropy minimization
    • Cambridge, MA: MIT Press
    • Grandvalet, Y. and Bengio, Y. 2005. Semi-supervised learning by entropy minimization. In Advances in Neural Information Processing Systems 17 (pp. 529-536). Cambridge, MA: MIT Press.
    • (2005) Advances in Neural Information Processing Systems , vol.17 , pp. 529-536
    • Grandvalet, Y.1    Bengio, Y.2
  • 7
    • 59549087165 scopus 로고    scopus 로고
    • On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes
    • Cambridge, MA: MIT Press
    • Ng, A. Y. and Jordan, M. I. 2002. On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes. In Advances in Neural Information Processing Systems 14 (pp. 841-848). Cambridge, MA: MIT Press.
    • (2002) Advances in Neural Information Processing Systems , vol.14 , pp. 841-848
    • Ng, A.Y.1    Jordan, M.I.2
  • 9
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using em
    • Nigam, K., McCallum, A., Thrun, S., and Mitchell T. 2000. Text classification from labeled and unlabeled documents using EM. Machine Learning, 39, 103-134.
    • (2000) Machine Learning , vol.39 , pp. 103-134
    • Nigam, K.1    McCallum, A.2    Thrun, S.3    Mitchell, T.4
  • 12
    • 0005977840 scopus 로고    scopus 로고
    • Learning with labeled and unlabeled data
    • University of Edinburgh
    • Seeger, M. 2001. Learning with labeled and unlabeled data, Technical Report, University of Edinburgh.
    • (2001) Technical Report
    • Seeger, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.