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CORR
2011
Springer
168views Education» more  CORR 2011»
14 years 7 months ago
Robustness and modular structure in networks
Many complex systems, from power grids and the internet, to the brain and society, can be modeled using modular networks. Modules, densely interconnected groups of elements, often...
James P. Bagrow, Sune Lehmann, Yong-Yeol Ahn
CVPR
2009
IEEE
16 years 10 months ago
Extraction of Tubular Structures over an Orientation Domain
This paper presents a new method to extract a network of vessels centerlines from a medical image. The network is composed of local geodesics over a four-dimensional space that in...
Gabriel Peyré, Mickaël Péchaud,...
ECAL
2001
Springer
15 years 8 months ago
Evolving Multi-agent Networks in Structured Environments
A crucial feature of evolving natural systems is parallelism. The simultaneous and distributed application of rules (governed by e.g. biochemistry) is generally considered as the p...
Thomas Glotzmann, Holger Lange, Michael Hauhs, A. ...
148
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SAC
2010
ACM
15 years 10 months ago
Gray networking: a step towards next generation computer networks
Modern networks are very complex. It is highly desirable to reduce management complexity in next generation network design. Researchers have been seeking inspiration in natural ob...
Piyush Harsh, Randy Chow, Richard Newman
GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
15 years 9 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall