实现天气观测中瞬态事件的自动分类Towards an Automated Classification of Transient Events in Synoptic Sky Surveys |
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课程网址: | http://videolectures.net/cidu2011_djorgovski_surveys/ |
主讲教师: | George Djorgovski |
开课单位: | 加州理工学院 |
开课时间: | 2012-06-27 |
课程语种: | 英语 |
中文简介: | 我们描述了一个系统的开发,用于自动、迭代、实时地分类天气天空调查中发现的瞬变事件。由于可用数据的稀疏性、异质性和可变不完全性,正在开发的系统采用了许多机器学习技术,主要使用贝叶斯方法。当新的测量值被获得时,分类被迭代地改进。一个新的特点是开发了一个自动跟踪推荐引擎,该引擎建议在解决天体物理上最有趣的物体的分类模糊和/或特征方面最有利的测量,给定一组可用的跟踪资产及其成本函数。这说明天文学与应用计算机科学通过新兴的天体信息学学科的共生关系。 |
课程简介: | We describe the development of a system for an automated, iterative, real‐time classification of transient events discovered in synoptic sky surveys. The system under development incorporates a number of Machine Learning techniques, mostly using Bayesian approaches, due to the sparse nature, heterogeneity, and variable incompleteness of the available data. The classifications are improved iteratively as the new measurements are obtained. One novel feature is the development of an automated follow‐up recommendation engine, that suggest those measurements that would be the most advantageous in terms of resolving classification ambiguities and/or characterization of the astrophysically most interesting objects, given a set of available follow‐up assets and their cost functions. This illustrates the symbiotic relationship of astronomy and applied computer science through the emerging discipline of AstroInformatics. |
关 键 词: | 天气观测; 分级系统; 计算机科学 |
课程来源: | 视频讲座网 |
最后编审: | 2019-12-21:lxf |
阅读次数: | 45 |