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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

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/18224

Title:	A Generalized Bradley-Terry Model: From Group Competition to Individual Skill
Authors:	Huang, Tzu-Kuo;翁久幸;林智仁 Huang, Tzu-Kuo;Ruby C. Weng;Lin ,Chih-Jen
Keywords:	Bradley-Terry model;probability estimates;error correcting output codes;support vector machines
Date:	2006-01
Issue Date:	2008-12-19 14:56:47 (UTC+8)
Abstract:	"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"
Relation:	Journal of Machine Learning Research, 7, 85-115
Data Type:	article
Appears in Collections:	[統計學系] 期刊論文

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