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    政大機構典藏 > 商學院 > 統計學系 > 期刊論文 >  Item 140.119/18225
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/18225


    Title: Probability Estimates for Multi-class Classification by Pairwise Coupling
    Authors: 吳亭範;林智仁;翁久幸
    Wu, Ting-Fan;Lin ,Chih-Jen;Ruby C. Weng
    Keywords: Pairwise Coupling;Probability Estimates;Random Forest;Support Vector Machines
    Date: 2004-08
    Issue Date: 2008-12-19 14:56:51 (UTC+8)
    Abstract: Pairwise coupling is a popular multi-class classification method that combines together all pairwise comparisons for each pair of classes. This paper presents two approaches for obtaining class probabilities. Both methods can be reduced to linear systems and are easy to implement.
    Relation: Journal of Machine Learning Research, 5, 975-1005
    Data Type: article
    Appears in Collections:[統計學系] 期刊論文

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