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» Evolving Artificial Neural Networks that Develop in Time
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WEA
2010
Springer
316views Algorithms» more  WEA 2010»
14 years 15 days ago
Modularity-Driven Clustering of Dynamic Graphs
Maximizing the quality index modularity has become one of the primary methods for identifying the clustering structure within a graph. As contemporary networks are not static but e...
Robert Görke, Pascal Maillard, Christian Stau...
KDD
2007
ACM
154views Data Mining» more  KDD 2007»
14 years 7 months ago
An event-based framework for characterizing the evolutionary behavior of interaction graphs
Interaction graphs are ubiquitous in many fields such as bioinformatics, sociology and physical sciences. There have been many studies in the literature targeted at studying and m...
Sitaram Asur, Srinivasan Parthasarathy, Duygu Ucar
IADIS
2004
13 years 8 months ago
Telecollaboration - a case study for performance analysis of voip systems
The evolving nature of complex traffic issues of IP (Internet Protocol)-based Telecollaboration (TC) business system technology requires an intuitive understanding for the partici...
Venkatesh Mahadevan, Zenon Chaczko
AIED
2005
Springer
14 years 28 days ago
Teaching the evolution of behavior with SuperDuperWalker
SuperDuperWalker is a software-based framework for experiments on the evolution of locomotion. It simulates the behavior of evolving agents in a 3D physical simulation environment ...
Lee Spector, Jon Klein, Kyle Harrington, Raymond C...
DEBS
2009
ACM
14 years 1 months ago
Distributed agent environments in the Ambient Event Calculus
We study the development of distributed agent environments as distributed event-based systems specified in the Ambient Event Calculus (AEC). The AEC is a logic-based formalism th...
Stefano Bromuri, Kostas Stathis