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FAC
2010
121views more  FAC 2010»
15 years 1 months ago
Blaming the client: on data refinement in the presence of pointers
Data refinement is a common approach to reasoning about programs, based on establishing that te program indeed satisfies all the required properties imposed by an intended abstract...
Ivana Filipovic, Peter W. O'Hearn, Noah Torp-Smith...
IJCNN
2006
IEEE
15 years 10 months ago
Knowledge Representation and Possible Worlds for Neural Networks
— The semantics of neural networks can be analyzed mathematically as a distributed system of knowledge and as systems of possible worlds expressed in the knowledge. Learning in a...
Michael J. Healy, Thomas P. Caudell
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
15 years 10 months ago
RABNET: a real-valued antibody network for data clustering
This paper proposes a novel constructive learning algorithm for a competitive neural network. The proposed algorithm is developed by taking ideas from the immune system and demons...
Helder Knidel, Leandro Nunes de Castro, Fernando J...
KIVS
2005
Springer
15 years 9 months ago
P2P Replication Revisited: Mobile Infrastructures
Abstract: Traffic engineering in P2P networks deals with organizing overlay networks. The challenge of unavailability has not been mastered yet. Considering the resource allocatio...
Jens O. Oberender, Hermann de Meer
CONNECTION
2004
92views more  CONNECTION 2004»
15 years 4 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