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IJON
2008
88views more  IJON 2008»
15 years 6 months ago
Neural network construction and training using grammatical evolution
The term neural network evolution usually refers to network topology evolution leaving the network's parameters to be trained using conventional algorithms. In this paper we ...
Ioannis G. Tsoulos, Dimitris Gavrilis, Euripidis G...
ESA
2003
Springer
98views Algorithms» more  ESA 2003»
15 years 11 months ago
Network Lifetime and Power Assignment in ad hoc Wireless Networks
In ad-hoc wireless networks, certain network connectivity constraints are of interest because of their practical importance. An example of such a constraint would be strong connec...
Gruia Calinescu, Sanjiv Kapoor, Alexander Olshevsk...
JMLR
2012
13 years 9 months ago
Hierarchical Relative Entropy Policy Search
Many real-world problems are inherently hierarchically structured. The use of this structure in an agent’s policy may well be the key to improved scalability and higher performa...
Christian Daniel, Gerhard Neumann, Jan Peters
TCOM
2010
167views more  TCOM 2010»
15 years 5 months ago
On distributed scheduling in wireless networks exploiting broadcast and network coding
—In this paper, we consider cross-layer optimization in wireless networks with wireless broadcast advantage, focusing on the problem of distributed scheduling of broadcast links....
Tao Cui, Lijun Chen, Tracey Ho
SENSYS
2004
ACM
16 years 5 hour ago
MNP: multihop network reprogramming service for sensor networks
Reprogramming of sensor networks is an important and challenging problem as it is often necessary to reprogram the sensors in place. In this paper, we propose a multihop reprogram...
Limin Wang