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博弈论与聚类

Game Theory & Clustering
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:
该课程将概述有关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。该框架围绕“支配集”的概念集中,这是一种新颖的图论概念,将最大集团的概念概括为边缘加权图。将讨论从进化博弈论中获得启发的算法,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: 数据聚类; 无监督学习; 博弈论
课程来源: 视频讲座网
最后编审: 2019-09-23:cwx
阅读次数: 41