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Volumn , Issue , 2010, Pages 346-358

Robust selective sampling from single and multiple teachers

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE-LEARNING ALGORITHM; ONLINE LEARNING ALGORITHMS; POOL-BASED; SELECTIVE SAMPLING;

EID: 84875634609     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (41)

References (31)
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    • Minimax bounds for active learning
    • Castro, R., & Nowak, R. D. (2008). Minimax bounds for active learning. IEEE Trans. IT, 54, 2339-2353.
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    • Improved risk tail bounds for on-line algorithms
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    • (2008) IEEE Trans. IT , vol.54 , pp. 386-390
    • Cesa-Bianchi, N.1    Gentile, C.2
  • 11
    • 33745738567 scopus 로고    scopus 로고
    • Worst-case analysis of selective sampling for linear classification
    • Cesa-Bianchi, N., Gentile, C., & Zaniboni, L. (2006). Worst-case analysis of selective sampling for linear classification. JMLR, 7, 1025-1230.
    • (2006) JMLR , vol.7 , pp. 1025-1230
    • Cesa-Bianchi, N.1    Gentile, C.2    Zaniboni, L.3
  • 18
    • 70349254685 scopus 로고    scopus 로고
    • Proactive learning: Cost-sensitive active learning with multiple imperfect oracles
    • Donmez, P., & Carbonell, J. G. (2008). Proactive learning: Cost-sensitive active learning with multiple imperfect oracles. CIKM.
    • (2008) CIKM
    • Donmez, P.1    Carbonell, J.G.2
  • 19
    • 0031209604 scopus 로고    scopus 로고
    • Selective sampling using the query by committee algorithm
    • Freund, Y., Seung, S., Shamir, E., & Tishby, N. (1997). Selective sampling using the query by committee algorithm. Machine Learning, 28, 133-168.
    • (1997) Machine Learning , vol.28 , pp. 133-168
    • Freund, Y.1    Seung, S.2    Shamir, E.3    Tishby, N.4
  • 23
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    • Ridge regression: Biased estimation for nonorthogonal problems
    • Hoerl, A., & Kennard, R. (1970). Ridge regression: Biased estimation for nonorthogonal problems. Technometrics, 12, 55-67.
    • (1970) Technometrics , vol.12 , pp. 55-67
    • Hoerl, A.1    Kennard, R.2
  • 25
    • 0000258837 scopus 로고
    • Least squares estimates in stochastic regression models with applications to identification and control of dynamic systems
    • Lai, T. L., & Wei, C. Z. (1982). Least squares estimates in stochastic regression models with applications to identification and control of dynamic systems. The Annals of Statistics, 154-166.
    • (1982) The Annals of Statistics , pp. 154-166
    • Lai, T.L.1    Wei, C.Z.2
  • 27
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    • Online linear regression and its application to model-based reinforcement learning
    • Strehl, A., & Littman, M. (2008). Online linear regression and its application to model-based reinforcement learning. Advances in Neural Information Processing Systems 20.
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    • Strehl, A.1    Littman, M.2
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    • Vovk, V. (2001). Competitive on-line statistics. International Statistical Review, 69, 213-248.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.