130 search results - page 3 / 26 » Multi-scale modularity in complex networks |
CIKM
2008
Springer
13 years 7 months ago
2008
Springer
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
BMCBI
2006
13 years 5 months ago
2006
Background: The exploration of the structural topology and the organizing principles of genomebased large-scale metabolic networks is essential for studying possible relations bet...
WIOPT
2005
IEEE
13 years 11 months ago
2005
IEEE
Wireless ad hoc networks raised a series of challenging research tracks. In order to analyze and validate research results achieved, thorough performance evaluation efforts are ne...
ANNS
2010
13 years 24 days ago
2010
Evolving recurrent neural networks for behavior control of robots equipped with larger sets of sensors and actuators is difficult due to the large search spaces that come with the ...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— This paper shows the advantage of using neural network modularity over conventional learning schemes to approximate complex functions. Indeed, it is difficult for artificial ...