图 书 馆
科学数据挖掘:从实验数据中提炼出自由形式的自然规律Scientific Data Mining: Distilling Free-Form Natural Laws from Experimental Data |
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| 课程网址: | http://videolectures.net/uai2011_lipson_scientific/ |
| 主讲教师: | Hod Lipson |
| 开课单位: | 康奈尔大学 |
| 开课时间: | 2011-08-29 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | For centuries, scientists have attempted to identify and document analytical laws that underlie physical phenomena in nature. Despite the prevalence of computing power, the process of finding natural laws and their corresponding equations has resisted automation. A key challenge to finding analytic relations automatically is defining algorithmically what makes a correlation in observed data important and insightful. We will show that by seeking dynamical invariants, we can go from finding just predictive models to finding deeper conservation laws. Applications to modeling physical and biological systems will be shown, and both deterministic and stochastic models will be considered. |
| 关 键 词: | 观测数据; 生物系统建模; 计算机科学; 数据分析 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-10-29：lxf |
| 阅读次数: | 50 |