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GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
14 years 2 months ago
Investigating whether hyperNEAT produces modular neural networks
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...
JSAC
2007
180views more  JSAC 2007»
13 years 9 months ago
Cooperative Distributed MIMO Channels in Wireless Sensor Networks
— The large number of network nodes and the energy constraints make Wireless Sensor Networks (WSN) one of the most important application fields for Cooperative Diversity. Node c...
Aitor del Coso, Umberto Spagnolini, Christian Ibar...
MOBIHOC
2006
ACM
14 years 9 months ago
Algorithmic aspects of communication in ad-hoc networks with smart antennas
Smart antennas have gained significant importance in multihop wireless networks in recent years, because of their sophisticated signal processing capabilities that hold the potent...
Karthikeyan Sundaresan, Weizhao Wang, Stephan Eide...
IJCNN
2006
IEEE
14 years 3 months ago
Semi-Supervised Model Selection Based on Cross-Validation
We propose a new semi-supervised model selection method that is derived by applying the structural risk minimization principle to a recent semi-supervised generalization error bou...
Matti Kaariainen
GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
14 years 3 months ago
Is the island model fault tolerant?
In this paper, we present a study on the fault tolerance nature of the island model when applied to Genetic Algorithms. Parallel and distributed models have been extensively appli...
José Ignacio Hidalgo, Juan Lanchares, Franc...