图 书 馆
无向图形化的模型分布图推理Distributed MAP Inference for Undirected Graphical Models |
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| 课程网址: | http://videolectures.net/nipsworkshops2010_singh_dmapi/ |
| 主讲教师: | Sameer Singh |
| 开课单位: | 马萨诸塞大学 |
| 开课时间: | 2011-01-13 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In this work, we distribute the MCMC-based MAP inference using the Map-Reduce framework. The variables are assigned randomly to machines, which leads to some factors that neighbor vari- ables on separate machines. Parallel MCMC-chains are initiated using proposal distributions that only suggest local changes such that factors that lie across machines are not examined. After a fixed number of samples on each machine, we redistribute the variables amongst the machines to enable proposals across variables that were on different machines. To demonstrate the distribution strategy on a real-world information extraction application, we model the task of cross-document coreference. |
| 关 键 词: | 基础地图; 随机分配; 应用分配策略 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-13：yumf |
| 阅读次数: | 40 |