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Volumn , Issue , 2008, Pages 233-236

Active learning with confidence

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; MACHINE LEARNING;

EID: 77953215634     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1557690.1557757     Document Type: Conference Paper
Times cited : (25)

References (16)
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  • 3
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  • 6
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    • Analysis of perceptron-based active learning
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  • 7
    • 56449101965 scopus 로고    scopus 로고
    • Confidence-weighted linear classification
    • Mark Dredze, Koby Crammer, and Fernando Pereira. 2008. Confidence-weighted linear classification. In ICML.
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    • Dredze, M.1    Crammer, K.2    Pereira, F.3
  • 8
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    • Mmr-based active machine learning for bio named entity recognition
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    • Kim, S.1    Yu, S.2    Kim, K.3    Cha, J.-W.4    Lee, G.G.5
  • 9
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    • Rcv1: A new benchmark collection for text categorization research
    • D. D. Lewis, Y. Yand, T. Rose, and F. Li. 2004. Rcv1: A new benchmark collection for text categorization research. JMLR, 5:361-397.
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    • Lewis, D.D.1    Yand, Y.2    Rose, T.3    Li, F.4
  • 12
    • 0442319140 scopus 로고    scopus 로고
    • Toward optimal active learning through sampling estimation of error reduction
    • N. Roy and A. McCallum. 2001. Toward optimal active learning through sampling estimation of error reduction. In ICML.
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    • Roy, N.1    McCallum, A.2
  • 13
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    • An empirical study of active learning with support vector machines for japanese word segmentation
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    • Online active learning methods for fast label-efficient spam filtering
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    • Active learning for statistical natural language parsing
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.