图 书 馆
博弈论与聚类Game Theory & Clustering |
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| 课程网址: | http://videolectures.net/ssll09_pelillo_gath/ |
| 主讲教师: | Marcello Pelillo |
| 开课单位: | 加州大学 |
| 开课时间: | 2009-04-01 |
| 课程语种: | 英语 |
| 中文简介: |  本课程将概述关于成对数据聚类的最新工作，该研究已导致在无监督学习和（进化）博弈论之间建立有趣的联系。该框架以“支配集”的概念为中心，“支配集”是一种新颖的图形理论概念，可以将最大集团的概念推广到边缘加权图形。讨论了进化博弈论启发的算法，以及在计算机视觉和模式识别中的应用。 |
| 课程简介: | The course will provide an overview of recent work on pairwise data clustering which has lead to establish intriguing connections between unsupervised learning and (evolutionary) game theory. The framework is centered around the notion of a "dominant set," a novel graph-theoretic concept which generalizes that of a maximal clique to edge-weighted graphs. Algorithms inspired from evolutionary game theory, and applications in computer vision and pattern recognition will be discussed. |
| 关 键 词: | 博弈论; 成对数据聚类; 支配集 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-02-04：nkq |
| 最后编审: | 2021-02-04：nkq |
| 阅读次数: | 59 |