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Volumn , Issue , 2013, Pages 2313-2320

Lifelong learning for acquiring thewisdom of the crowd

Author keywords

[No Author keywords available]

Indexed keywords

CROWDSOURCING; EXPLORATION AND EXPLOITATION; LIFE LONG LEARNING; MONTE CARLO ALGORITHMS; PREDICTIVE MODELS; TASK PERFORMANCE; WORKERS'; WORLD DYNAMICS;

EID: 84896061857     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (24)

References (24)
  • 1
    • 0036568025 scopus 로고    scopus 로고
    • Finite-time analysis of the multiarmed bandit problem
    • P. Auer, N. Cesa-Bianchi, and P. Fischer. Finite-time analysis of the multiarmed bandit problem. Machine learning, 47(2):235-256, 2002.
    • (2002) Machine Learning , vol.47 , Issue.2 , pp. 235-256
    • Auer, P.1    Cesa-Bianchi, N.2    Fischer, P.3
  • 7
    • 33646410076 scopus 로고    scopus 로고
    • Active learning in partially observable markov decision processes
    • R. Jaulmes, J. Pineau, and D. Precup. Active learning in partially observable markov decision processes. Machine Learning: ECML 2005, pages 601-608, 2005.
    • (2005) Machine Learning: ECML 2005 , pp. 601-608
    • Jaulmes, R.1    Pineau, J.2    Precup, D.3
  • 8
    • 84899436528 scopus 로고    scopus 로고
    • Light at the end of the tunnel: A monte-carlo approach to computing value of information
    • In To Appear in. International Foundation for Autonomous Agents and Multiagent Systems
    • E. Kamar and E. Horvitz. Light at the end of the tunnel: A Monte-Carlo approach to computing value of information. In To Appear in Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems, 2013.
    • (2013) Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems
    • Kamar, E.1    Horvitz, E.2
  • 9
  • 11
    • 33750293964 scopus 로고    scopus 로고
    • Bandit based monte-carlo planning
    • Springer
    • Levente Kocsis and Csaba Szepesvári. Bandit based monte-carlo planning. In Machine Learning: ECML 2006, pages 282-293. Springer, 2006.
    • (2006) Machine Learning: ECML 2006 , pp. 282-293
    • Kocsis, L.1    Szepesvári, C.2
  • 14
    • 51349128726 scopus 로고    scopus 로고
    • Galaxy Zoo: Morphologies derived from visual inspection of galaxies from the sloan digital sky survey
    • C.J. Lintott et al. Galaxy Zoo: Morphologies derived from visual inspection of galaxies from the Sloan Digital Sky Survey. Monthly Notices of the Royal Astronomical Society, 389(3):1179-1189, 2008.
    • (2008) Monthly Notices of the Royal Astronomical Society , vol.389 , Issue.3 , pp. 1179-1189
    • Lintott, C.J.1
  • 15
  • 23
    • 85156221438 scopus 로고    scopus 로고
    • Generalization in reinforcement learning: Successful examples using sparse coarse coding
    • R.S. Sutton. Generalization in reinforcement learning: Successful examples using sparse coarse coding. Advances in neural information processing systems, pages 1038-1044, 1996.
    • (1996) Advances in Neural Information Processing Systems , pp. 1038-1044
    • Sutton, R.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.