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Volumn , Issue , 2006, Pages 106-113

An empirical comparison of algorithms for aggregating expert predictions

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN ESTIMATIONS; EMPIRICAL COMPARISON; EMPIRICAL COMPARISON OF ALGORITHMS; OFFLINE; PREDICTION ACCURACY; QUADRATIC LOSS; SOLUTION METHODS;

EID: 79952424804     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (21)

References (21)
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    • Information markets vs. multiple experts: An empirical comparison
    • Y. Chen, C. Chu, T. Mullen, and D. M. Pennock. Information markets vs. multiple experts: An empirical comparison. In Electronic Commerce, 2005.
    • (2005) Electronic Commerce
    • Chen, Y.1    Chu, C.2    Mullen, T.3    Pennock, D.M.4
  • 6
    • 33745809788 scopus 로고    scopus 로고
    • On-line prediction with kernels and the complexity approximation principle
    • A. Gammerman, Y. Kalnishkan, and V. Vovk. On-line prediction with kernels and the complexity approximation principle. In UAI'04, 2004.
    • (2004) UAI'04
    • Gammerman, A.1    Kalnishkan, Y.2    Vovk, V.3
  • 7
    • 84972539429 scopus 로고
    • Combining probability distributions: A critique and an annotated bibliography
    • Christian Genest and James V. Zidek. Combining probability distributions: A critique and an annotated bibliography. Statistical Science, 1(1):114-148, 1986.
    • (1986) Statistical Science , vol.1 , Issue.1 , pp. 114-148
    • Genest, C.1    Zidek, J.V.2
  • 8
    • 79952367405 scopus 로고    scopus 로고
    • A generative Bayesian model for aggregating experts' probabilities
    • J. M. Kahn. A generative Bayesian model for aggregating experts' probabilities. In UAI'04, 2004.
    • (2004) UAI'04
    • Kahn, J.M.1
  • 9
    • 0008815681 scopus 로고    scopus 로고
    • Exponentiated gradient versus gradient descent for linear predictors
    • J. Kivinen and M. K. Warmuth. Exponentiated gradient versus gradient descent for linear predictors. Information and Computation, 132(1), 1997.
    • (1997) Information and Computation , vol.132 , Issue.1
    • Kivinen, J.1    Warmuth, M.K.2
  • 10
    • 84862595317 scopus 로고    scopus 로고
    • Estimating class membership probabilities using classifier learners
    • J. Langford and B. Zadrozny. Estimating class membership probabilities using classifier learners. In AISTAT, 2005.
    • (2005) AISTAT
    • Langford, J.1    Zadrozny, B.2
  • 12
    • 80053211600 scopus 로고    scopus 로고
    • NewsFutures. www.newsfutures.com, 2005.
    • (2005)
  • 13
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    • ProbabilitySports. www.probabilitysports.com, 2005.
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  • 14
    • 0002609760 scopus 로고    scopus 로고
    • Representing aggregate belief through the competitive equilibrium of a securities market
    • Providence, RI, USA, July
    • David M. Pennock and Michael P. Wellman. Representing aggregate belief through the competitive equilibrium of a securities market. In Thirteenth Conference on Uncertainty in Artificial Intelligence, pages 392-400, Providence, RI, USA, July 1997.
    • (1997) Thirteenth Conference on Uncertainty in Artificial Intelligence , pp. 392-400
    • Pennock, D.M.1    Wellman, M.P.2
  • 17
    • 80053187387 scopus 로고    scopus 로고
    • TradeSports. www.tradesports.com.
  • 18
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    • Aggregating strategies
    • V. G. Vovk. Aggregating strategies. In COLT, pages 371-386, 1990.
    • (1990) COLT , pp. 371-386
    • Vovk, V.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.