图 书 馆
贝叶斯在线事件检测Bayesian Online Event Detection |
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| 课程网址: | http://videolectures.net/onlinelearning2012_barber_bayesian_detec... |
| 主讲教师: | David Barber |
| 开课单位: | 伦敦大学学院 |
| 开课时间: | 2013-05-28 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Distilled sensing is a multistage active learning procedure to detect events scattered across sites. We assume that at each stage the number of sites that can be measured is fixed and focus on the question of the optimal distribution of measurements across sites. By defining a Bayesian objective based on maximising the expected number of detections we are able to efficiently compute the optimal measurement strategy at each stage by solving a knapsack problem. The procedure has potential application across the sciences in which one wishes to detect objects on the basis of a sequence of measurements. |
| 关 键 词: | 蒸馏感应; 多阶段主动学习; 跨站点 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-09：cjy |
| 阅读次数: | 80 |