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学习何时停止思考和做某事!Learning When to Stop Thinking and Do Something! |
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| 课程网址: | http://videolectures.net/icml09_poczos_lwts/ |
| 主讲教师: | Barnabás Póczos |
| 开课单位: | 卡内基梅隆大学 |
| 开课时间: | 2009-08-26 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | An anytime algorithm is capable of returning a response to the given task at essentially any time; typically the quality of the response improves as the time increases. Here, we consider the challenge of learning when we should terminate such algorithms on each of a sequence of iid tasks, to optimize the expected average reward per unit time. We provide an algorithm for answering this question. We combine the global optimizer Cross Entropy method and the local gradient ascent, and theoretically investigate how far the estimated gradient is from the true gradient. We empirically demonstrate the applicability of the proposed algorithm on a toy problem, as well as on a real-world face detection task. |
| 关 键 词: | 随时算法; 预期平均报酬; 全局优化交叉熵方法; 局部梯度 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-11-30：lxf |
| 阅读次数: | 48 |