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Volumn 27, Issue 3, 2012, Pages 133-142

Convex formulations of learning from crowds

Author keywords

Convex optimization; Crowdsourcing; Multi task learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; ITERATIVE METHODS; LEARNING SYSTEMS; OPTIMIZATION;

EID: 84867415955     PISSN: 13460714     EISSN: 13468030     Source Type: Journal    
DOI: 10.1527/tjsai.27.133     Document Type: Article
Times cited : (17)

References (16)
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    • Caruana, R.1
  • 2
    • 72049084727 scopus 로고    scopus 로고
    • Modeling Wine Preferences by Data Mining from Physicochemical Properties
    • Cortez, P., Cerdeira, A., Almeida, F., Matos, T., and Reis, J.: Modeling Wine Preferences by Data Mining from Physicochemical Properties, Decision Support Systems, Vol. 47, pp. 547-553 (2009)
    • (2009) Decision Support Systems , vol.47 , pp. 547-553
    • Cortez, P.1    Cerdeira, A.2    Almeida, F.3    Matos, T.4    Reis, J.5
  • 3
    • 0003102944 scopus 로고
    • Maximum Likelihood Estimation of Observer Error-Rates Using the EM Algorithm
    • Dawid, A. P. and Skene, A.M.: Maximum Likelihood Estimation of Observer Error-Rates Using the EM Algorithm, Applied Statistics, Vol. 28, No. 1, pp. 20-28 (1979)
    • (1979) Applied Statistics , vol.28 , Issue.1 , pp. 20-28
    • Dawid, A.P.1    Skene, A.M.2
  • 13
    • 77956536129 scopus 로고    scopus 로고
    • Online crowdsourcing: Rating annotators and obtaining cost-effective labels
    • in
    • Welinder, P. and Perona, P.: Online crowdsourcing: rating annotators and obtaining cost-effective labels, in Computer Vision and Pattern Recognition Workshops, pp. 25-32 (2010)
    • (2010) Computer Vision and Pattern Recognition Workshops , pp. 25-32
    • Welinder, P.1    Perona, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.