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Volumn 15, Issue , 2011, Pages 816-822

The sample complexity of self-verifying Bayesian active learning

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE LEARNING; ACTIVE-LEARNING ALGORITHM; LEARNING PROBLEM; PASSIVE LEARNING; PRIOR DISTRIBUTION; SAMPLE COMPLEXITY; TARGET FUNCTIONS;

EID: 84862296539     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (21)
  • 5
    • 77955659703 scopus 로고    scopus 로고
    • The true sample complexity of active learning
    • September
    • M.-F. Balcan, S. Hanneke, and J. Wortman Vaughan. The true sample complexity of active learning. Machine Learning, 80(2-3):111-139, September 2010.
    • (2010) Machine Learning , vol.80 , Issue.2-3 , pp. 111-139
    • Balcan, M.-F.1    Hanneke, S.2    Wortman Vaughan, J.3
  • 12
    • 0031209604 scopus 로고    scopus 로고
    • Selective sampling using the query by committee algorithm
    • Y. Freund, H. S. Seung, E. Shamir, and N. Tishby. Selective sampling using the query by committee algorithm. In Machine Learning, pages 133-168, 1997.
    • (1997) Machine Learning , pp. 133-168
    • Freund, Y.1    Seung, H.S.2    Shamir, E.3    Tishby, N.4
  • 16
    • 79551594780 scopus 로고    scopus 로고
    • Rates of convergence in active learning
    • S. Hanneke. Rates of convergence in active learning. The Annals of Statistics, 39(1):333-361, 2011.
    • (2011) The Annals of Statistics , vol.39 , Issue.1 , pp. 333-361
    • Hanneke, S.1
  • 17
    • 0006842954 scopus 로고
    • Bounds on the sample complexity of bayesian learning using information theory and the vc dimension
    • Morgan Kaufmann
    • D. Haussler, M. Kearns, and R. Schapire. Bounds on the sample complexity of bayesian learning using information theory and the vc dimension. In Machine Learning, pages 61-74. Morgan Kaufmann, 1992.
    • (1992) Machine Learning , pp. 61-74
    • Haussler, D.1    Kearns, M.2    Schapire, R.3
  • 19
    • 78649426154 scopus 로고    scopus 로고
    • Rademacher complexities and bounding the excess risk in active learning
    • To Appear
    • V. Koltchinskii. Rademacher complexities and bounding the excess risk in active learning. Journal of Machine Learning Research, To Appear, 2010.
    • (2010) Journal of Machine Learning Research
    • Koltchinskii, V.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.