图 书 馆
天文学中的概率决策、数据分析和发现Probabilistic decision-making, data analysis, and discovery in astronomy |
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| 课程网址: | http://videolectures.net/mlss2012_hogg_astronomy/ |
| 主讲教师: | David W. Hogg |
| 开课单位: | 纽约大学 |
| 开课时间: | 2013-01-15 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Astronomy is a prime user community for machine learning and probabilistic modeling. There are very large, public data sets (mostly but not entirely digital imaging), there are simple but effective models of many of the most important phenomena (stars, quasars, and galaxies), and there are very good models of telescopes, cameras, and detectors. I will show in detail some examples of problems we were able to solve in astrophysics by bringing probabilistic inference and decision theory to astronomy. I will discuss why many "supervised" methods are not nearly as useful in astronomy as those that involve generative modeling. I hope to leave the audience with real research problems, the solutions to which would be (a) achievable with contemporary machine-learning methods, and at the same time (b) very exciting within the astrophysics community. |
| 关 键 词: | 天文学; 机器学习; 概率建模 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-07-24：cwx |
| 阅读次数: | 30 |