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» Evolving Complex Neural Networks
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104
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ICCV
2007
IEEE
16 years 6 days ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
GECCO
2005
Springer
220views Optimization» more  GECCO 2005»
15 years 3 months ago
Scale invariant pareto optimality: a meta--formalism for characterizing and modeling cooperativity in evolutionary systems
This article describes a mathematical framework for characterizing cooperativity in complex systems subject to evolutionary pressures. This framework uses three foundational compo...
Mark Fleischer
101
Voted
CMG
2001
14 years 11 months ago
Software That Can Think and Do
Rapid advances in research and technology now allow data analysis and modeling of extremely complex systems. Methods from artificial intelligence (AI) such as Neural Networks have...
Bernard Domanski
72
Voted
INFORMATICALT
2008
120views more  INFORMATICALT 2008»
14 years 10 months ago
Nonlinear Behaviour in the MPI-Parallelised Model of the Rat Somatosensory Cortex
Mammalian brains consisting of up to 1011 neurons belong to group of the most complex systems in the Universe. For years they have been one of the hardest objects of simulation. Th...
Grzegorz M. Wojcik, Wieslaw A. Kaminski
CN
2010
120views more  CN 2010»
14 years 10 months ago
A survey on bio-inspired networking
The developments in the communication and networking technologies have yielded many existing and envisioned information network architectures such as cognitive radio networks, sen...
Falko Dressler, Özgür B. Akan