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开幕式-第五届国际图形学习与学习研讨会

Opening - The 5th International Workshop on Mining and Learning with Graphs
课程网址: http://videolectures.net/mlg07_opening/  
主讲教师: 信息不详。欢迎您在右侧留言补充。
开课单位: 信息不详。欢迎您在右侧留言补充。
开课时间: 2007-08-27
课程语种: 英语
中文简介:
近年来，已经举办了几次关于挖掘和从图形中学习的研讨会，例如去年的MLG及其先驱MGTS关于挖掘图形、树和序列的研讨会系列。这是成功的，但与一个研究团体的会议有关。如今，似乎有人对跨多个社区的结构化数据挖掘和学习兴趣激增。然而，大多数研究人员只接触一个或两个社区，还没有对不同方法的相对优势和局限性有清楚的了解。我们认为，这是一个研讨会的理想时机，该研讨会允许该领域的活跃研究人员讨论和辩论从结构化数据中挖掘和学习的独特挑战。因此，MLG 2007讲习班将集中精力挖掘和学习结构化数据及其许多外观和方面，如解释、图表、树、序列。具体来说，我们试图邀请统计关系学习、结构化输入/输出的核心方法、图形挖掘（多）关系数据挖掘、归纳逻辑编程等方面的研究人员。
课程简介: There have been several workshops on mining and learning from graphs in recent years such as last year's MLG and its forerunner MGTS workshop series on Mining Graphs, Trees and Sequences. These were successful, but were tied to the conference of one research community. Nowadays there seems to be a surge of interest in mining and learning from structured data across several communities. Most researchers, however, only have exposure to one or two communities, and no clear understanding of the relative advantages and limitations of different approaches has yet emerged. We believe this is an ideal time for a workshop that allows active researchers in this area to discuss and debate the unique challenges of mining and learning from structured data. The MLG 2007 workshop will thus concentrate on mining and learning with structured data in general and its many appearances and facets such as interpretations, graphs, trees, sequences. Specifically, we seek to invite researchers in Statistical Relational Learning, Kernel Methods for Structured Inputs/Outputs, Graph Mining, (Multi-) Relational Data Mining, Inductive Logic Programming, among others.
关 键 词: 结构化数据; 研讨会; 统计关系; 逻辑编程
课程来源: 视频讲座网
最后编审: 2020-06-08：liush
阅读次数: 38

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