Harvesting random embedding for high-frequency change-point detection in temporal complex systems     

Jia-Wen Hou  Huan-Fei Ma  Dake He  Jie Sun  Qing Nie  Wei Lin 《国家科学评论(英文版)》2022,9(4)

Recent investigations have revealed that dynamics of complex networks and systems are crucially dependent on the temporal structures. Accurate detection of the time instant at which a system changes its internal structures has become a tremendously significant mission, beneficial to fully understanding the underlying mechanisms of evolving systems, and adequately modeling and predicting the dynamics of the systems as well. In real-world applications, due to a lack of prior knowledge on the explicit equations of evolving systems, an open challenge is how to develop a practical and model-free method to achieve the mission based merely on the time-series data recorded from real-world systems. Here, we develop such a model-free approach, named temporal change-point detection (TCD), and integrate both dynamical and statistical methods to address this important challenge in a novel way. The proposed TCD approach, basing on exploitation of spatial information of the observed time series of high dimensions, is able not only to detect the separate change points of the concerned systems without knowing, a priori, any information of the equations of the systems, but also to harvest all the change points emergent in a relatively high-frequency manner, which cannot be directly achieved by using the existing methods and techniques. Practical effectiveness is comprehensively demonstrated using the data from the representative complex dynamics and real-world systems from biology to geology and even to social science.  相似文献   

基于不完备信息系统的相容性研究     

吴文兵  聂伟强 《科技广场》2007,(3):21-22

本文主要研究了粗糙集理论中不完备系统的完备化及其相容性问题,并将其置于数据库环境之下进行了探讨。  相似文献   

试论以人为本的人力资源管理   总被引：1，自引：0，他引：1  

聂玉霞 《科技创业月刊》2007,20(12):131-133

"以人为本"是新时期人力资源管理的重要思想。在阐述以人为本的人力资源管理基本内涵的基础上,指出了现实中存在的一些关于"以人为本"的误区,提出了新时期"以人为本"的人力资源管理新思路。  相似文献   

文旅融合环境下图书馆服务创新发展研究     

王欢  聂慧英  郭春阳 《河北科技图苑》2022,35(2):3-9,52

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Machine Learning Literacy for Measurement Professionals: A Practical Tutorial     

Rui Nie  Qi Guo  Maxim Morin 《Educational Measurement》2023,42(1):9-23

The COVID-19 pandemic has accelerated the digitalization of assessment, creating new challenges for measurement professionals, including big data management, test security, and analyzing new validity evidence. In response to these challenges, Machine Learning (ML) emerges as an increasingly important skill in the toolbox of measurement professionals in this new era. However, most ML tutorials are technical and conceptual-focused. Therefore, this tutorial aims to provide a practical introduction to ML in the context of educational measurement. We also supplement our tutorial with several examples of supervised and unsupervised ML techniques applied to marking a short-answer question. Python codes are available on GitHub. In the end, common misconceptions about ML are discussed.  相似文献   

新时代高职院校构建劳动教育实施体系的策略探索     

聂勇  陈思 《高校辅导员学刊》2022,14(2):95-100

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