图 书 馆
对网络的推断Inference for Networks |
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| 课程网址: | http://videolectures.net/mlss09us_bickel_in/ |
| 主讲教师: | Peter J. Bickel |
| 开课单位: | 加州大学伯克利分校 |
| 开课时间: | 2009-07-30 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | A great deal of attention has recently been paid to determining sub-communities on the basis of relations, corresponding to edges, between individuals, corresponding to vertices out of an unlabelled graph (Neman, SIAM Review 2003; Airoldi et al JMLR 2008; Leskovec & Kleinberg et al SIGKDD 2005) for probabilistic ergodic models of infinite unlabelled graphs. We drive consistency properties of the Newman-Girvon index, and develop an index with better consistency properties and better performance on simulated data sets. This is joint work with Aiyou Chen. |
| 关 键 词: | 子社区; 概率遍历模型; 一致性属性 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-07-17：cjy |
| 阅读次数: | 36 |