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Volumn 27, Issue 3, 2015, Pages 794-809

Multicategory crowdsourcing accounting for variable task difficulty, worker skill, and worker intention

Author keywords

Crowdsourcing; ensemble classification; expectation maximization; inference; multicategory

Indexed keywords

AGGREGATES; DECISION MAKING; IMAGE SEGMENTATION; MAXIMUM PRINCIPLE; STOCHASTIC SYSTEMS;

EID: 84922928478     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2014.2327026     Document Type: Article
Times cited : (67)

References (28)
  • 5
    • 0003102944 scopus 로고
    • Maximum likelihood estimation of observer error-rates using the EM algorithm
    • A. Dawid, and A. Skene, "Maximum likelihood estimation of observer error-rates using the EM algorithm," Appl. Statist., vol. 28, pp. 20-28, 1979.
    • (1979) Appl. Statist. , vol.28 , pp. 20-28
    • Dawid, A.1    Skene, A.2
  • 8
    • 84857856268 scopus 로고    scopus 로고
    • Eliminating spammers and ranking annotators for crowdsourced labeling tasks
    • V. C. Raykar, and S. Yu, "Eliminating spammers and ranking annotators for crowdsourced labeling tasks," J. Mach. Learn. Res., vol. 13, pp. 491-518, 2012.
    • (2012) J. Mach. Learn. Res. , vol.13 , pp. 491-518
    • Raykar, V.C.1    Yu, S.2
  • 11
    • 84887747830 scopus 로고    scopus 로고
    • UCI Machine Learning repository
    • California, Irvine, CA, USA
    • K. Bache and M. Lichman, "UCI machine learning repository,"SchoolInf. Comput. Sci., Univ. California, Irvine, CA, USA, 2013.
    • (2013) SchoolInf. Comput. Sci., Univ
    • Bache, K.1    Lichman, M.2
  • 12
    • 77951951247 scopus 로고    scopus 로고
    • Whose vote should count more: Optimal integration of labels from labelers of unknown expertise
    • J. Whitehill, P. Ruvolo, T. Wu, J. Bergsma, and J. Movellan, "Whose vote should count more: Optimal integration of labels from labelers of unknown expertise," Adv. Neural Inf. Process. Syst., vol. 22, pp. 2035-2043, 2009.
    • (2009) Adv. Neural Inf. Process. Syst. , vol.22 , pp. 2035-2043
    • Whitehill, J.1    Ruvolo, P.2    Wu, T.3    Bergsma, J.4    Movellan, J.5
  • 13
    • 33645283097 scopus 로고    scopus 로고
    • Unsupervised learning of parsimonious mixtures on large spaces with integrated feature and component selection
    • Apr.
    • M. W. Graham, and D. J. Miller, "Unsupervised learning of parsimonious mixtures on large spaces with integrated feature and component selection," IEEE Trans. Signal Process., vol. 54, no. 4, pp. 1289-1303, Apr. 2006.
    • (2006) IEEE Trans. Signal Process. , vol.54 , Issue.4 , pp. 1289-1303
    • Graham, M.W.1    Miller, D.J.2
  • 14
    • 0002210265 scopus 로고
    • On the convergence properties of the EM algorithm
    • C. Wu, "On the convergence properties of the EM algorithm,"Ann. Statist., vol. 11, no. 1, pp. 95-103, 1983.
    • (1983) Ann. Statist. , vol.11 , Issue.1 , pp. 95-103
    • Wu, C.1
  • 17
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • R. E. Schapire, "The strength of weak learnability," Mach. Learn., vol. 5, no. 2, pp. 197-227, 1990.
    • (1990) Mach. Learn. , vol.5 , Issue.2 , pp. 197-227
    • Schapire, R.E.1
  • 19
    • 33750685685 scopus 로고    scopus 로고
    • A multilingual named entity recognition system using boosting and c4. 5 decision tree learning algorithms
    • G. Szarvas, R. Farkas, and A. Kocsor, "A multilingual named entity recognition system using boosting and c4. 5 decision tree learning algorithms," in Proc. 9th Int. Conf. Discovery Sci., 2006, pp. 267-278.
    • Proc. 9th Int. Conf. Discovery Sci., 2006 , pp. 267-278
    • Szarvas, G.1    Farkas, R.2    Kocsor, A.3
  • 28
    • 0000038794 scopus 로고
    • Locally optimal block quantizer design
    • R. M. Gray, J. C. Kieffer, and Y. Linde, "Locally optimal block quantizer design," Inf. Control, vol. 45, no. 2, pp. 178-198, 1980.
    • (1980) Inf. Control , vol.45 , Issue.2 , pp. 178-198
    • Gray, R.M.1    Kieffer, J.C.2    Linde, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.