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IJAHUC
2008
83views more  IJAHUC 2008»
13 years 4 months ago
Connectivity of a Gaussian network
: Following Etherington, Hoge and Parkes, we consider a network consisting of (approximately) N transceivers in the plane R2 distributed randomly with density given by a Gaussian d...
Paul N. Balister, Béla Bollobás, Ami...
ESANN
2006
13 years 6 months ago
Gaussian and exponential architectures in small-world associative memories
The performance of sparsely-connected associative memory models built from a set of perceptrons is investigated using different patterns of connectivity. Architectures based on Gau...
Lee Calcraft, Rod Adams, Neil Davey
CONNECTION
2007
87views more  CONNECTION 2007»
13 years 4 months ago
Efficient architectures for sparsely-connected high capacity associative memory models
In physical implementations of associative memory, wiring costs play a significant role in shaping patterns of connectivity. In this study of sparsely-connected associative memory...
Lee Calcraft, Rod Adams, Neil Davey
IDEAL
2005
Springer
13 years 10 months ago
Neural Networks: A Replacement for Gaussian Processes?
Abstract. Gaussian processes have been favourably compared to backpropagation neural networks as a tool for regression. We show that a recurrent neural network can implement exact ...
Matthew Lilley, Marcus R. Frean
ESANN
2001
13 years 6 months ago
Rectified Gaussian distributions and the formation of local filters from video data
We investigate the use of an unsupervised artificial neural network to form a sparse representation of the underlying causes in a data set. By using fixed lateral connections that...
Emilio Corchado, Darryl Charles, Colin Fyfe