Probability Estimates for Multi-class Classification by Pairwise Coupling | Publication

Title	Probability Estimates for Multi-class Classification by Pairwise Coupling
Creator	吳亭範;林智仁;翁久幸 Wu, Ting-Fan;Lin ,Chih-Jen;Ruby C. Weng
Key Words	Pairwise Coupling;Probability Estimates;Random Forest;Support Vector Machines
Date	2004-08
Date Issued	19-Dec-2008 14:56:51 (UTC+8)
Summary	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
Type	article

dc.creator (作者)	吳亭範;林智仁;翁久幸	zh_TW
dc.creator (作者)	Wu, Ting-Fan;Lin ,Chih-Jen;Ruby C. Weng	-
dc.date (日期)	2004-08	en_US
dc.date.accessioned	19-Dec-2008 14:56:51 (UTC+8)	-
dc.date.available	19-Dec-2008 14:56:51 (UTC+8)	-
dc.date.issued (上傳時間)	19-Dec-2008 14:56:51 (UTC+8)	-
dc.identifier.uri (URI)	https://nccur.lib.nccu.edu.tw/handle/140.119/18225	-
dc.description.abstract (摘要)	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.	-
dc.format	application/pdf	en_US
dc.format.extent	613346 bytes	-
dc.format.mimetype	application/pdf	-
dc.language	en	en_US
dc.language	en-US	en_US
dc.language.iso	en_US	-
dc.relation (關聯)	Journal of Machine Learning Research, 5, 975-1005	en_US
dc.subject (關鍵詞)	Pairwise Coupling;Probability Estimates;Random Forest;Support Vector Machines	-
dc.title (題名)	Probability Estimates for Multi-class Classification by Pairwise Coupling	en_US
dc.type (資料類型)	article	en