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Volumn , Issue , 2015, Pages 42-51

Reliable Aggregation of Boolean Crowdsourced Tasks

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

EID: 85039860908     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1609/hcomp.v3i1.13240     Document Type: Conference Paper
Times cited : (14)

References (20)
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    • Adler, B.1    de Alfaro, L.2    Pye, I.3
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    • Dawid, A. P., and Skene, A. M. 1979. Maximum likelihood estimation of observer error-rates using the em algorithm. Applied statistics 20–28.
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    • Glickman, M. E.1
  • 5
    • 84865386906 scopus 로고    scopus 로고
    • Incentives, information, and emergent collective accuracy
    • Hong, L.; Page, S. E.; and Riolo, M. 2012. Incentives, information, and emergent collective accuracy. Managerial and Decision Economics 33(5-6):323–334.
    • (2012) Managerial and Decision Economics , vol.33 , Issue.5-6 , pp. 323-334
    • Hong, L.1    Page, S. E.2    Riolo, M.3
  • 7
    • 85162483531 scopus 로고    scopus 로고
    • Iterative learning for reliable crowdsourcing systems
    • Karger, D. R.; Oh, S.; and Shah, D. 2011. Iterative learning for reliable crowdsourcing systems. In NIPS, 1953–1961.
    • (2011) NIPS , pp. 1953-1961
    • Karger, D. R.1    Oh, S.2    Shah, D.3
  • 9
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    • Variational inference for crowdsourcing
    • Liu, Q.; Peng, J.; and Ihler, A. T. 2012. Variational inference for crowdsourcing. In NIPS’12, 701–709.
    • (2012) NIPS’12 , pp. 701-709
    • Liu, Q.1    Peng, J.2    Ihler, A. T.3
  • 15
    • 85153964878 scopus 로고
    • Inferring ground truth from subjective labelling of venus images
    • Tesauro, G.; Touretzky, D. S.; and Leen, T. K., eds., MIT Press
    • Smyth, P.; Fayyad, U. M.; Burl, M. C.; Perona, P.; and Baldi, P. 1994. Inferring ground truth from subjective labelling of venus images. In Tesauro, G.; Touretzky, D. S.; and Leen, T. K., eds., NIPS, 1085–1092. MIT Press.
    • (1994) NIPS , pp. 1085-1092
    • Smyth, P.1    Fayyad, U. M.2    Burl, M. C.3    Perona, P.4    Baldi, P.5
  • 18
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    • The Multidimensional Wisdom of Crowds
    • Lafferty, J.; Williams, C. K. I.; Shawe-Taylor, J.; Zemel, R. S.; and Culotta, A., eds
    • Welinder, P.; Branson, S.; Belongie, S.; and Perona, P. 2010. The Multidimensional Wisdom of Crowds. In Lafferty, J.; Williams, C. K. I.; Shawe-Taylor, J.; Zemel, R. S.; and Culotta, A., eds., NIPS. 2424–2432.
    • (2010) NIPS , pp. 2424-2432
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    • Whose vote should count more: Optimal integration of labels from labelers of unknown expertise
    • Whitehill, J.; Wu, T.-f.; Bergsma, J.; Movellan, J. R.; and Ruvolo, P. L. 2009. Whose vote should count more: Optimal integration of labels from labelers of unknown expertise. In NIPS, 2035–2043.
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    • San Francisco, CA, USA: Morgan Kaufmann Publishers Inc. chapter Understanding Belief Propagation and Its Generalizations
    • Yedidia, J. S.; Freeman, W. T.; and Weiss, Y. 2003. Exploring artificial intelligence in the new millennium. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc. chapter Understanding Belief Propagation and Its Generalizations, 239–269.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.