Adaptation and learning over complex networks [From the Guest Editors]

The topic of this special issue deals with a subject matter that has been receiving immense attention from various research communities, and not only within the signal processing community. Discusses research and development in the area of the adaption and learning over complex network systems. Exte...

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Published inIEEE signal processing magazine Vol. 30; no. 3; pp. 14 - 15
Main Authors Sayed, Ali H., Barbarossa, Sergio, Theodoridis, Sergios, Yamada, Isao
Format Magazine Article
LanguageEnglish
Published IEEE 01.05.2013
Subjects
Adaptation models
Complex networks
Economics
Learning systems
Social network services
Special issues and sections
Online AccessGet full text
ISSN1053-5888
DOI10.1109/MSP.2013.2240191

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Abstract The topic of this special issue deals with a subject matter that has been receiving immense attention from various research communities, and not only within the signal processing community. Discusses research and development in the area of the adaption and learning over complex network systems. Extensive research efforts on information processing over graphs exist within other fields such as statistics, computer science, optimization, control, economics, machine learning, biological sciences, and social sciences. Different fields tend to emphasize different aspects and challenges; nevertheless, opportunities for mutual cooperation are abundantly clear, and the role that signal processing plays in this domain is of fundamental importance.
AbstractList The topic of this special issue deals with a subject matter that has been receiving immense attention from various research communities, and not only within the signal processing community. Discusses research and development in the area of the adaption and learning over complex network systems. Extensive research efforts on information processing over graphs exist within other fields such as statistics, computer science, optimization, control, economics, machine learning, biological sciences, and social sciences. Different fields tend to emphasize different aspects and challenges; nevertheless, opportunities for mutual cooperation are abundantly clear, and the role that signal processing plays in this domain is of fundamental importance.
Author Theodoridis, Sergios
Barbarossa, Sergio
Sayed, Ali H.
Yamada, Isao
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StartPage 14
SubjectTerms Adaptation models
Complex networks
Economics
Learning systems
Social network services
Special issues and sections
Title Adaptation and learning over complex networks [From the Guest Editors]
URI https://ieeexplore.ieee.org/document/6494689
Volume 30
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