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    政大機構典藏 > 商學院 > 統計學系 > 期刊論文 >  Item 140.119/18224


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    題名: A Generalized Bradley-Terry Model: From Group Competition to Individual Skill
    作者: Huang, Tzu-Kuo;翁久幸;林智仁
    Huang, Tzu-Kuo;Ruby C. Weng;Lin ,Chih-Jen
    關鍵詞: Bradley-Terry model;probability estimates;error correcting output codes;support vector machines
    日期: 2006-01
    上傳時間: 2008-12-19 14:56:47 (UTC+8)
    摘要: "The Bradley-Terry model for obtaining individual skill from paired comparisons has been
    popular in many areas. In machine learning, this model is related to multi-class probability
    estimates by coupling all pairwise classification results. Error correcting output codes
    (ECOC) are a general framework to decompose a multi-class problem to several binary
    problems. To obtain probability estimates under this framework, this paper introduces a
    generalized Bradley-Terry model in which paired individual comparisons are extended to
    paired team comparisons. We propose a simple algorithm with convergence proofs to solve
    the model and obtain individual skill. Experiments on synthetic and real data demonstrate
    that the algorithm is useful for obtaining multi-class probability estimates. Moreover, we
    discuss four extensions of the proposed model: 1) weighted individual skill, 2) home-field
    advantage, 3) ties, and 4) comparisons with more than two teams"
    關聯: Journal of Machine Learning Research, 7, 85-115
    資料類型: article
    顯示於類別:[統計學系] 期刊論文

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