Robust network structure reconstruction based on Bayesian compressive sensing-Reference-Cited by-同舟云学术

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Robust network structure reconstruction based on Bayesian compressive sensing

Published:2019-09 Issue:9 Volume:29 Page:093119
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Huang Keke¹,Jiao Yang¹,Liu Chen²,Deng Wenfeng¹,Wang Zhen³

Affiliation:

1. School of Automation, Central South University, Changsha 410083, China

2. Center for Ecology and Environmental Sciences, Northwestern Polytechnical University, Xi’an 710072, China

3. School of Mechanical Engineering and Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, Xi’an 710072, China

Funder

111 Project

Innovation-Driven Plan in Central South University

National Natural Science Foundation of China

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5109375

Reference48 articles.

1. Modeling and analyzing complex biological networks incooperating experimental information on both network topology and stable states

2. Power grid vulnerability: A complex network approach

3. Multitasking Associative Networks

4. Texture analysis and classification: A complex network-based approach

5. Modeling and analyzing complex biological networks incooperating experimental information on both network topology and stable states

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