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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 4 months ago
Co-evolving recurrent neurons learn deep memory POMDPs
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Faustino J. Gomez, Jürgen Schmidhuber
ICDE
2010
IEEE
173views Database» more  ICDE 2010»
14 years 5 months ago
Progressive clustering of networks using Structure-Connected Order of Traversal
— Network clustering enables us to view a complex network at the macro level, by grouping its nodes into units whose characteristics and interrelationships are easier to analyze ...
Dustin Bortner, Jiawei Han
ATAL
2005
Springer
14 years 4 months ago
Agent-organized networks for dynamic team formation
Many multi-agent systems consist of a complex network of autonomous yet interdependent agents. Examples of such networked multi-agent systems include supply chains and sensor netw...
Matthew E. Gaston, Marie desJardins
WABI
2005
Springer
143views Bioinformatics» more  WABI 2005»
14 years 4 months ago
A Faster Algorithm for Detecting Network Motifs
Motifs in a network are small connected subnetworks that occur in significantly higher frequencies than in random networks. They have recently gathered much attention as a useful ...
Sebastian Wernicke
ADHOC
2006
115views more  ADHOC 2006»
13 years 11 months ago
Routing characteristics of ad hoc networks with unidirectional links
Unidirectional links in an ad hoc network can result from factors such as heterogeneity of receiver and transmitter hardware, power control or topology control algorithms, or diff...
Jorjeta G. Jetcheva, David B. Johnson