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Volumn , Issue , 2011, Pages 176-187

Who should label what? instance allocation in multiple expert active learning

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; SENTIMENT ANALYSIS;

EID: 84874086932     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972818.16     Document Type: Conference Paper
Times cited : (57)

References (23)
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    • (2010) Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pp. 423-432
    • Attenberg, J.1    Provost, F.2
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    • Biomedical language processing: What's beyond pubmed?
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    • L. Hunter and K. B. Cohen. Biomedical language processing: What's beyond pubmed? Mol Cell, 21(5):589-594, March 2006.
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    • Hunter, L.1    Cohen, K.B.2
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    • 0033254078 scopus 로고    scopus 로고
    • Unskilled and unaware of it: How difficulties in recognizing ones own incompetence lead to inflated self-assessments
    • J. Kruger and D. Dunning. Unskilled and unaware of it: How difficulties in recognizing ones own incompetence lead to inflated self-assessments. Journal of Personality and Social Psychology, 77(6):1121-1134, 1999.
    • (1999) Journal of Personality and Social Psychology , vol.77 , Issue.6 , pp. 1121-1134
    • Kruger, J.1    Dunning, D.2
  • 11
    • 85141280473 scopus 로고    scopus 로고
    • A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts
    • B. Pang and L. Lee. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of the ACL, pages 271-278, 2004.
    • (2004) Proceedings of the ACL , pp. 271-278
    • Pang, B.1    Lee, L.2
  • 12
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for SVMs and comparisons to regularized likelihood methods
    • J. Platt. Probabilistic outputs for SVMs and comparisons to regularized likelihood methods. Advances in Large Margin Classifiers, pages 61-74, 1999.
    • (1999) Advances in Large Margin Classifiers , pp. 61-74
    • Platt, J.1
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    • 65449144451 scopus 로고    scopus 로고
    • Get another label? Improving data quality and data mining using multiple, noisy labelers
    • V. S. Sheng, F. Provost, and P. G. Ipeirotis. Get another label? Improving data quality and data mining using multiple, noisy labelers. In Knowledge Discovery and Data mining (KDD), pages 614-622, 2008.
    • (2008) Knowledge Discovery and Data Mining (KDD) , pp. 614-622
    • Sheng, V.S.1    Provost, F.2    Ipeirotis, P.G.3
  • 18
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • S. Tong and D. Koller. Support vector machine active learning with applications to text classification. In Journal of Machine Learning Research, pages 999-1006, 2000.
    • (2000) Journal of Machine Learning Research , pp. 999-1006
    • Tong, S.1    Koller, D.2
  • 19
    • 33750905259 scopus 로고    scopus 로고
    • Decision curve analysis: A novel method for evaluating prediction models
    • A. J. Vickers and E. B. Elkin. Decision curve analysis: A novel method for evaluating prediction models. Medical Decision Making, 26:565-574, 2006.
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    • Vickers, A.J.1    Elkin, E.B.2
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    • Criteria for determining disability in infants and children: Short stature
    • Prepared by New England Medical Center Evidence-based Practice Center under Contract No. 290-97-001, Mar
    • P. Wheeler, E. Balk, K. Bresnahan, B. Shephard, J. Lau, D. DeVine, M. Chung, and K. Miller. Criteria for determining disability in infants and children: short stature. Evidence Report/Technology Assessment No. 73. Prepared by New England Medical Center Evidence-based Practice Center under Contract No. 290-97-001, Mar 2003.
    • (2003) Evidence Report/Technology Assessment No. 73
    • Wheeler, P.1    Balk, E.2    Bresnahan, K.3    Shephard, B.4    Lau, J.5    DeVine, D.6    Chung, M.7    Miller, K.8


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.