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» Evolving Complex Neural Networks
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IJON
2007
93views more  IJON 2007»
14 years 9 months ago
Development of multi-cluster cortical networks by time windows for spatial growth
Many neural networks, such as the complex cortical networks of the mammalian brain, are organized in multiple clusters, with many connections within but few links between clusters...
Marcus Kaiser, Claus C. Hilgetag
ICANN
2009
Springer
15 years 4 months ago
Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning
Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity ...
Faustino J. Gomez, Julian Togelius, Jürgen Sc...
COLT
2001
Springer
15 years 2 months ago
Rademacher and Gaussian Complexities: Risk Bounds and Structural Results
We investigate the use of certain data-dependent estimates of the complexity of a function class, called Rademacher and Gaussian complexities. In a decision theoretic setting, we ...
Peter L. Bartlett, Shahar Mendelson
DNIS
2005
Springer
112views Database» more  DNIS 2005»
15 years 3 months ago
Modelling Peer-to-Peer Data Networks Under Complex System Theory
: A Peer-to-peer Data Network (PDN) is an open and evolving society of peer nodes that assemble into a network to share their data for mutual benefit. PDNs are enabled by distribu...
Cyrus Shahabi, Farnoush Banaei Kashani
INFOCOM
2008
IEEE
15 years 4 months ago
Complex Network Measurements: Estimating the Relevance of Observed Properties
Abstract—Complex networks, modeled as large graphs, received much attention during these last years. However, data on such networks is only available through intricate measuremen...
Matthieu Latapy, Clémence Magnien