52 search results - page 5 / 11 » Evolving multi-agent network structure with organizational l... |
IJCNN
2008
IEEE
15 years 4 months ago
2008
IEEE
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...
139
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GECCO
2007
Springer
15 years 3 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
106
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JMLR
2010
14 years 4 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Self-organization of brain areas in animals begins prenatally, evidently driven by spontaneously generated internal patterns. The neural structures continue to develop postnatally...
KI
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. In this paper we present a novel general framework for encoding and evolving networks called Common Genetic Encoding (CGE) that can be applied to both direct and indirect...