图 书 馆
计算科学中的可重复研究：数据和代码共享的问题和解决方案Reproducible Research in Computational Science: Problems and Solutions For Data and Code Sharing |
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| 课程网址: | http://videolectures.net/icml2010_stodden_rric/ |
| 主讲教师: | Victoria Stodden |
| 开课单位: | 耶鲁大学 |
| 开课时间: | 2010-07-20 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Scientific computation is emerging as absolutely central to the scientific method, but the prevalence of very relaxed practices is leading to a credibility crisis. Reproducible computational research, in which all details of computations—code and data—are made conveniently available to others, is a necessary response to this crisis. Results from a 2009 survey of the Machine Learning community (NIPS participants) designed to elucidate factors that affect data and code sharing will be presented. Intellectual property concerns create a significant barrier to sharing, and I will also present work on the “Reproducible Research Standard” giving open licensing options designed to create an intellectual property framework for scientists consonant with longstanding scientific norms and facilitating reproducible research. |
| 关 键 词: | 科学计算; 机器学习; 代码共享; 知识产权 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2021-01-27：chenxin |
| 阅读次数: | 38 |