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10讲：离散概率和状态估计Lecture 10: Discrete Probability and State Estimation |
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| 课程网址: | http://videolectures.net/mit601s201_freeman_lec10/ |
| 主讲教师: | Dennis Freeman |
| 开课单位: | 麻省理工学院 |
| 开课时间: | 2013-02-04 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We've been talking about how to analyze and design systems, but we haven't talked about how to make systems robust under uncertainty. In fact, we haven't even talked about how to model uncertainty. In this unit, we'll address the problem that systems we design may have to operate under uncertainty, and that we may want those systems to be able to search the world for possible solutions to problems. We'll introduce the basics of probability and search in this session, and apply those concepts to our design challenges. The overview handout provides a more detailed introduction, including the big ideas of the session, key vocabulary, what you should understand (theory) and be able to do (practice) after completing this session, and additional resources. |
| 关 键 词: | 模型; 系统; 资源 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-29：zyk |
| 阅读次数: | 35 |