图 书 馆
图形识别Graph Identification |
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| 课程网址: | http://videolectures.net/mlg07_getoor_gi/ |
| 主讲教师: | Lise Getoor |
| 开课单位: | 加州大学圣克鲁兹分校 |
| 开课时间: | 2007-08-27 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Within the machine learning community, there has been a growing interest in learning structured models from input data that is itself structured. Graph identification refers to methods that transform an observed input graph into an inferred output graph. Examples include inferring organizational hierarchies from social network data and identifying gene regulatory networks from protein-protein interactions. The key processes in graph identification are entity resolution, link prediction, and collective classification. I will overview algorithms for these tasks and discuss the need for integrating the results to solve the overall problem collectively. |
| 关 键 词: | 机器学习; 社会网络数据; 基因调控; 图形识别; 链路预测 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-06：zyk |
| 阅读次数: | 49 |