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Volumn , Issue , 2005, Pages

Co-validation: Using model disagreement on unlabeled data to validate classification algorithms

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE LEARNING; AVERAGE ERRORS; BINARY CLASSIFICATION; CLASSIFICATION ALGORITHM; CROSS VALIDATION; MODEL SELECTION; PREDICTION ERRORS; UNBIASED ESTIMATES;

EID: 84898982358     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (12)
  • 2
    • 85129430241 scopus 로고    scopus 로고
    • No unbiased estimator of the variance of k-fold cross-validation
    • BG03
    • [BG03] Y. Bengio and Y. Granvalet. No unbiased estimator of the variance of k-fold cross-validation. In NIPS, 2003.
    • (2003) NIPS
    • Bengio, Y.1    Granvalet, Y.2
  • 5
    • 33746041669 scopus 로고    scopus 로고
    • Almost-everywhere algorithmic stability and generalization error
    • KN02
    • [KN02] S. Kutin and P. Niyogi. Almost-everywhere algorithmic stability and generalization error. In UAI, 2002.
    • (2002) UAI
    • Kutin, S.1    Niyogi, P.2
  • 7
    • 0000749354 scopus 로고
    • Neural network ensembles, cross validation, and active learning
    • KV95
    • [KV95] A. Krogh and J. Vedelsby. Neural network ensembles, cross validation, and active learning. In NIPS, 1995.
    • (1995) NIPS
    • Krogh, A.1    Vedelsby., J.2
  • 9
    • 2442611856 scopus 로고    scopus 로고
    • Stability based validation of clustering algorithms
    • LRBB04
    • [LRBB04] T. Lange, V. Roth, M. Braun, and J. Buhmann. Stability based validation of clustering algorithms. Neural Computation, 16, 2004.
    • (2004) Neural Computation , vol.16
    • Lange, T.1    Roth, V.2    Braun, M.3    Buhmann, J.4
  • 11
    • 34547982608 scopus 로고    scopus 로고
    • A new metric-based approach to model selection
    • Sch97
    • [Sch97] D. Schuurmans. A new metric-based approach to model selection. In AAAI, 1997.
    • (1997) AAAI
    • Schuurmans, D.1
  • 12
    • 0036643079 scopus 로고    scopus 로고
    • Metric-based methods for adaptive model selection and regularization
    • SS02
    • [SS02] D. Schuurmans and F. Southey. Metric-based methods for adaptive model selection and regularization. Machine Learning, pages 51-84, 2002.
    • (2002) Machine Learning , pp. 51-84
    • Schuurmans, D.1    Southey, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.