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Volumn , Issue , 2008, Pages

The value of labeled and unlabeled examples when the model is imperfect

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS; MIXTURES; SUPERVISED LEARNING;

EID: 85162044771     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (15)
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    • Audibert, J.Y.1    Tsybakov, A.2
  • 3
    • 3142725535 scopus 로고    scopus 로고
    • Semi-supervised learning on Riemannian manifolds
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    • M. Belkin and P. Niyogi. Semi-supervised learning on Riemannian manifolds. Machine Learning, 56, Invited, Special Issue on Clustering:209-239, 2004.
    • (2004) Machine Learning , vol.56 , pp. 209-239
    • Belkin, M.1    Niyogi, P.2
  • 5
    • 0001662441 scopus 로고    scopus 로고
    • The relative value of labeled and unlabeled samples in pattern recognition with an unknown mixing parameter
    • PII S0018944896063705
    • V. Castelli and T. M. Cover. The relative values of labeled and unlabeld samples in pattern recognition with an unknown mixing parameters. IEEE Trans. Information Theory, 42((6):2102-2117, 1996. (Pubitemid 126771539)
    • (1996) IEEE Transactions on Information Theory , vol.42 , Issue.6 PART 2 , pp. 2102-2117
    • Castelli, V.1    Cover, T.M.2
  • 6
    • 32844455952 scopus 로고    scopus 로고
    • Cluster kernels for semi-supervised learning
    • O. Chapelle, J.Weston, and B. Scholkopf. Cluster kernels for semi-supervised learning. NIPS, 15, 2002.
    • (2002) NIPS , vol.15
    • Chapelle, O.1    Weston, J.2    Scholkopf, B.3
  • 8
    • 14844283227 scopus 로고    scopus 로고
    • PAC generalization bounds for co-training
    • S. Dasgupta, M. L. Littman, and D. McAllester. PAC generalization bounds for co-training. NIPS, 14, 2001.
    • (2001) NIPS , vol.14
    • Dasgupta, S.1    Littman, M.L.2    McAllester, D.3
  • 11
    • 84947134568 scopus 로고
    • Learning from a mixture of labeled and unlabeled examples with parametric side information
    • J. Ratsaby and S. S. Venkatesh. Learning from a mixture of labeled and unlabeled examples with parametric side information. In 8th Annual Conference on Learning Theory, 1995.
    • (1995) 8th Annual Conference on Learning Theory
    • Ratsaby, J.1    Venkatesh, S.S.2
  • 12
    • 3142725508 scopus 로고    scopus 로고
    • Optimal aggregation of classifiers in statistical learning
    • A. B. Tsybakov. Optimal aggregation of classifiers in statistical learning. Ann. Statist., 32(1):135-166, 1996.
    • (1996) Ann. Statist. , vol.32 , Issue.1 , pp. 135-166
    • Tsybakov, A.B.1
  • 14
    • 85161974575 scopus 로고    scopus 로고
    • Minimax nonparametric classification- part I: Rates of convergence, part II: Model selection for adaptation
    • Y. Yang. Minimax nonparametric classification- part I: Rates of convergence, part II: Model selection for adaptation. IEEE Trans. Inf. Theory, 45:2271-2292, 1999.
    • (1999) IEEE Trans. Inf. Theory , vol.45 , pp. 2271-2292
    • Yang, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.