Ranking Individuals by Group Comparisons
| Autor: | Tzu-Kuo Huang, 黃子國 |
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| Rok vydání: | 2006 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 94 This thesis studies the problem of ranking individuals from their group competition results. Many real-world problems are of this type. For example, ranking players from team games is important in some sports. In machine learning, this is closely related to multi-class classification and probability estimates. Competition results are usually in two types: wins/losses only or wins/losses with scores. Based on the two types of results, we propose new models for estimating individuals'' abilities, and hence rankings of individuals. We develope easy and effective solution procedures. Experiments on real bridge records and multi-class classification demonstrate the viability of the proposed models. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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