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» Multi-scale modularity in complex networks
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IJPRAI
2000
83views more  IJPRAI 2000»
13 years 9 months ago
Practical Issues in Modeling Large Diagnostic Systems with Multiply Sectioned Bayesian Networks
As Bayesian networks become widely accepted as a normative formalism for diagnosis based on probabilistic knowledge, they are applied to increasingly larger problem domains. These...
Yanping Xiang, Kristian G. Olesen, Finn Verner Jen...
EVOW
2007
Springer
14 years 4 months ago
Genetic Representations for Evolutionary Minimization of Network Coding Resources
Abstract. We demonstrate how a genetic algorithm solves the problem of minimizing the resources used for network coding, subject to a throughput constraint, in a multicast scenario...
Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muri...
ICNS
2008
IEEE
14 years 4 months ago
DiProNN: Distributed Programmable Network Node Architecture
The programmable network approach allows processing of passing user data in a network, which is highly suitable especially for multimedia streams processing. However, programming ...
Tomás Rebok
SUTC
2010
IEEE
13 years 8 months ago
Transaction-Level Modeling for Sensor Networks Using SystemC
—As sensor networks are finding widespread use across many applications, designers increasingly must not only focus on application development, but also on sensor network optimiz...
Jeff Hiner, Ashish Shenoy, Roman L. Lysecky, Susan...
CORR
2006
Springer
127views Education» more  CORR 2006»
13 years 9 months ago
Post-Processing Hierarchical Community Structures: Quality Improvements and Multi-scale View
Dense sub-graphs of sparse graphs (communities), which appear in most real-world complex networks, play an important role in many contexts. Most existing community detection algori...
Pascal Pons