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» An Artificial Chemistry for Networking
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AI
2002
Springer
15 years 6 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
TWC
2010
15 years 1 months ago
Lifetime-resource tradeoff for multicast traffic in wireless sensor networks
In this paper, we study the problem of supporting multicast traffic in wireless sensor networks with network coding. On one hand, coding operations can reduce power consumption and...
Vahid Shah-Mansouri, Vincent W. S. Wong
GECCO
2009
Springer
16 years 1 months ago
An evolutionary approach to planning IEEE 802.16 networks
Efficient and effective deployment of IEEE 802.16 networks to service an area of users with certain traffic demands is an important network planning problem. We resort to an evol...
Ting Hu, Yuanzhu Peter Chen, Wolfgang Banzhaf, Rob...
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CONCUR
2005
Springer
16 years 9 days ago
A Compositional Approach to the Stochastic Dynamics of Gene Networks
We propose a compositional approach to the dynamics of gene regulatory networks based on the stochastic π-calculus, and develop a representation of gene network elements which can...
Luca Cardelli
ECAL
2003
Springer
16 years 8 hour ago
Contextual Random Boolean Networks
Abstract. We propose the use of Deterministic Generalized Asynchronous Random Boolean Networks [1] as models of contextual deterministic discrete dynamical systems. We show that ch...
Carlos Gershenson, Jan Broekaert, Diederik Aerts