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» Evolving Complex Neural Networks
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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 5 months ago
A developmental genetics-inspired approach to robot control
The need to build modular, scalable, and complex technology capable of adaptation, self-assembly, and self-repair has fuelled renewed interest in using approaches inspired by deve...
Sanjeev Kumar
CLADE
2003
IEEE
15 years 5 months ago
vGrid: A Framework For Building Autonomic Applications
With rapid technological advances in network infrastructure, programming languages, compatible component interfaces and so many more areas, today the computational Grid has evolve...
Bithika Khargharia, Salim Hariri, Manish Parashar,...
AGI
2008
15 years 1 months ago
Language Processing in Human Brain
Human brain is exceptionally complex and simple at the same time. Its extremely composite biological structure results itself in human everyday behavior that many people might cons...
Alexander Borzenko
ICPR
2002
IEEE
16 years 28 days ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...
CMOT
1999
143views more  CMOT 1999»
14 years 11 months ago
Structural Learning: Attraction and Conformity in Task-Oriented Groups
This study extends previous research that showed how informal social sanctions can backfire when members prefer friendship over enforcement of group norms. We use a type of neural...
James A. Kitts, Michael W. Macy, Andreas Flache