报告主题:动力系驱动的数据科学
报告人:陈洛南 研究员 (中国科学院上海生命科学研究院)
报告时间:2019年6月8日(周六)13:30
报告所在:校本部G507
约请人:许新建
主理部分:理学院数学系
报告摘要:I will describe the topics how to apply nonlinear dynamical theory to data analysis, including time-series prediction, causality inference, and criticality detection from the observed high-dimensional data. A number of real-world datasets (including biological datasets) are used to validate the effectiveness of such an approach.
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