Diffusion strategies for adaptation and learning over networks: an examination of distributed strategies and network behavior

AH Sayed, SY Tu, J Chen, X Zhao… - IEEE Signal Processing …, 2013 - ieeexplore.ieee.org
Nature provides splendid examples of real-time learning and adaptation behavior that
emerges from highly localized interactions among agents of limited capabilities. For …
被引用次数：506 相关文章
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[PDF][PDF] Diffusion Strategies for Adaptation and Learning over Networks

F AMIE - networks, 2013 - i2pc.es
The article explains some of the challenges for adaptation and learning over networks,
describes strategies that can address these challenges, and explains how and when …

[引用][C] Diffusion strategies for adaptation and learning over networks: an examination of distributed strategies and network behavior

AH Sayed, SY Tu, J Chen, X Zhao… - IEEE Signal Processing …, 2013 - cir.nii.ac.jp
Diffusion strategies for adaptation and learning over networks: an examination of distributed
strategies and network behavior | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ …

[引用][C] Diffusion Strategies for Adaptation and Learning over Networks: An Examination of Distributed Strategies and Network Behavior

A Sayed, SY Tu, J Chen, X Zhao… - IEEE Signal Processing …, 2013 - ui.adsabs.harvard.edu
Diffusion Strategies for Adaptation and Learning over Networks: An Examination of Distributed
Strategies and Network Behavior - NASA/ADS Now on home page ads icon ads Enable full ADS …

Diffusion Strategies for Adaptation and Learning over Networks: An Examination of Distributed Strategies and Network Behavior

A Sayed, SY Tu, J Chen, X Zhao, Z Towfic - IEEE Signal Processing …, 2013 - infona.pl
Nature provides splendid examples of real-time learning and adaptation behavior that
emerges from highly localized interactions among agents of limited capabilities. For …

Diffusion strategies for adaptation and learning over networks: an examination of distributed strategies and network behavior

AH Sayed, SY Tu, J Chen, X Zhao… - IEEE Signal Processing …, 2013 - infoscience.epfl.ch
Nature provides splendid examples of real-time learning and adaptation behavior that
emerges from highly localized interactions among agents of limited capabilities. For …