图 书 馆
从蛋白质到机器人：自信地学习优化From Proteins to Robots: Learning to Optimize with Confidence |
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| 课程网址: | http://videolectures.net/aaai2016_krause_proteins_to_robots/ |
| 主讲教师: | Andreas Krause |
| 开课单位: | 苏黎世理工学院 |
| 开课时间: | 2017-08-23 |
| 课程语种: | 英语 |
| 中文简介: |  随着机器学习的成功，我们越来越多地看到学习算法在现实世界中做出决策。然而，这通常与经典的列车测试范式形成鲜明对比，因为学习算法会影响它必须操作的数据。我将解释统计置信界限如何以一种有原则的方式指导数据采集，以便在各种复杂的环境中做出有效的决策。我将讨论几个应用，从在蛋白质结构优化中自主设计湿实验室实验，到机器人平台上的安全自动参数调整。 |
| 课程简介: | With the success of machine learning, we increasingly see learning algorithms make decisions in the real world. Often, however, this is in stark contrast to the classical train-test paradigm, since the learning algorithm affects the very data it must operate on. I will explain how statistical confidence bounds can guide data acquisition in a principled way to make effective decisions in a variety of complex settings. I will discuss several applications, ranging from autonomously designing wetlab experiments in protein structure optimization, to safe automatic parameter tuning on a robotic platform. |
| 关 键 词: | 自动参数调整; 学习算法; 蛋白质结构优化 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-06-16：zyk |
| 最后编审: | 2021-06-16：zyk |
| 阅读次数: | 49 |