Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/74371
DC Field | Value | Language |
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dc.contributor | 統計系 | - |
dc.creator | Weng, Ruby C.;Huang, Tzu-kuo;Lin, Chih-jen | - |
dc.creator | 翁久幸 | - |
dc.date | 2006 | - |
dc.date.accessioned | 2015-04-07T09:02:11Z | - |
dc.date.available | 2015-04-07T09:02:11Z | - |
dc.date.issued | 2015-04-07T09:02:11Z | - |
dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/74371 | - |
dc.description.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. | - |
dc.relation | Journal of Machine Learning Research - JMLR , vol. 7, pp. 85-115 | - |
dc.subject | Bradley-Terry model; probability estimates; error correcting output codes; support vector machines | - |
dc.title | Generalized Bradley-Terry Models and Multi-Class Probability Estimates | - |
dc.type | article | en |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.openairetype | article | - |
item.grantfulltext | restricted | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | 期刊論文 |
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File | Description | Size | Format | |
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huang06.pdf | 392.98 kB | Adobe PDF2 | View/Open |
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