| dc.creator (作者) | Huang, Tzu-Kuo;翁久幸;林智仁 | en_US |
| dc.creator (作者) | Huang, Tzu-Kuo;Ruby C. Weng;Lin ,Chih-Jen | - |
| dc.date (日期) | 2006-01 | en_US |
| dc.date.accessioned | 19-Dec-2008 14:56:47 (UTC+8) | - |
| dc.date.available | 19-Dec-2008 14:56:47 (UTC+8) | - |
| dc.date.issued (上傳時間) | 19-Dec-2008 14:56:47 (UTC+8) | - |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/18224 | - |
| dc.description.abstract (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" | - |
| dc.format | application/pdf | en_US |
| dc.format.extent | 619236 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, 7, 85-115 | en_US |
| dc.subject (關鍵詞) | Bradley-Terry model;probability estimates;error correcting output codes;support vector machines | - |
| dc.title (題名) | A Generalized Bradley-Terry Model: From Group Competition to Individual Skill | en_US |
| dc.type (資料類型) | article | en |
