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GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
15 years 11 months ago
Evolving distributed algorithms with genetic programming: election
In this paper, we present a detailed analysis of the application of Genetic Programming to the evolution of distributed algorithms. This research field has many facets which make...
Thomas Weise, Michael Zapf
SAGA
2005
Springer
16 years 9 hour ago
Self-replication, Evolvability and Asynchronicity in Stochastic Worlds
We consider temporal aspects of self-replication and evolvability – in particular, the massively asynchronous parallel and distributed nature of living systems. Formal views of s...
Chrystopher L. Nehaniv
CONNECTION
2004
92views more  CONNECTION 2004»
15 years 6 months ago
High capacity associative memories and connection constraints
: High capacity associative neural networks can be built from networks of perceptrons, trained using simple perceptron training. Such networks perform much better than those traine...
Neil Davey, Rod Adams
SEMWEB
2009
Springer
16 years 1 months ago
Learning to Map Ontologies with Neural Network
In this paper the authors applied the idea of training multiple tasks simultaneously on a partially shared feed forward network to domain of ontology mapping. A “cross training...
Yefei Peng, Paul W. Munro, Ming Mao
ICIC
2007
Springer
16 years 20 days ago
Edge Detection Based on Spiking Neural Network Model
Inspired by the behaviour of biological receptive fields and the human visual system, a network model based on spiking neurons is proposed to detect edges in a visual image. The st...
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire...