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Volumn , Issue , 2011, Pages 284-291

Budget-optimal crowdsourcing using low-rank matrix approximations

Author keywords

[No Author keywords available]

Indexed keywords

CROWDSOURCING; LARGE-SCALE PROBLEM; LOW-PAID WORKERS; LOW-RANK MATRICES; MAJORITY VOTING; TASK ASSIGNMENT;

EID: 84856118112     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/Allerton.2011.6120180     Document Type: Conference Paper
Times cited : (134)

References (16)
  • 7
    • 65449144451 scopus 로고    scopus 로고
    • Get another label? improving data quality and data mining using multiple, noisy labelers
    • ACM
    • V. S. Sheng, F. Provost, and P. G. Ipeirotis. Get another label? improving data quality and data mining using multiple, noisy labelers. In Proceeding of the 14th ACM SIGKDD, pages 614-622. ACM, 2008.
    • (2008) Proceeding of the 14th ACM SIGKDD , pp. 614-622
    • Sheng, V.S.1    Provost, F.2    Ipeirotis, P.G.3
  • 10
    • 11944253901 scopus 로고    scopus 로고
    • Cambridge University Press, January
    • B. Bollobás. Random Graphs. Cambridge University Press, January 2001.
    • (2001) Random Graphs
    • Bollobás, B.1
  • 16
    • 26944482759 scopus 로고    scopus 로고
    • Spectral techniques applied to sparse random graphs
    • DOI 10.1002/rsa.20089
    • U. Feige and E. Ofek. Spectral techniques applied to sparse random graphs. Random Struct. Algorithms, 27(2):251-275, 2005. (Pubitemid 41482549)
    • (2005) Random Structures and Algorithms , vol.27 , Issue.2 , pp. 251-275
    • Feige, U.1    Ofek, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.