图 书 馆
挖掘链接Link Mining |
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| 课程网址: | http://videolectures.net/active09_getoor_lm/ |
| 主讲教师: | Lise Getoor |
| 开课单位: | 加利福尼亚大学 |
| 开课时间: | 2009-10-20 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Statistical machine learning is in the midst of a "relational revolution". After many decades of focusing on independent and identically-distributed (iid) examples, researchers are now studying problems in which the examples are linked together into complex networks. These networks can be a simple as sequences and 2-D meshes (such as those arising in part-of-speech tagging and remote sensing) or as complex as the collaboration structures produced by knowledge workers performing a variety of tasks in different contexts within an enterprise. In this talk, I will give an overview of this newly emerging research, focusing specifically on link mining tasks and algorithms. |
| 关 键 词: | 链接挖掘; 系统机械; 网络 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-06：yumf |
| 阅读次数: | 47 |