| 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 |
