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Volumn 30, Issue , 2013, Pages 882-910

Adaptive crowdsourcing algorithms for the bandit survey problem

Author keywords

[No Author keywords available]

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS; QUALITY CONTROL; SEARCH ENGINES; SURVEYS;

EID: 84898026697     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (33)

References (34)
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  • 3
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    • Preliminary version in 36th IEEE FOCS, 1995
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  • 5
    • 84952208040 scopus 로고
    • Truncation of the bechhofer-kiefer-sobel sequential procedure for selecting the multinomial event which has the largest probability
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    • Bechhofer, R.E.1    Goldsman, D.2
  • 6
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    • R. E. Bechhofer, S. Elmaghraby, and N. Morse. A single-sample multiple decision procedure for selecting the multinomial event which has the highest probability. Annals of Mathematical Statistics, 30: 102119, 1959.
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  • 7
    • 79952624396 scopus 로고    scopus 로고
    • Pure exploration in multi-armed bandit problems
    • Preliminary version published in ALT 2009
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    • Bubeck, S.1    Munos, R.2    Stoltz, G.3
  • 11
    • 84897543509 scopus 로고    scopus 로고
    • Optimistic knowledge gradient for optimal budget allocation in crowdsourcing
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  • 12
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  • 15
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.