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IJAHUC
2008
83views more  IJAHUC 2008»
14 years 9 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
14 years 11 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
88
Voted
CONNECTION
2007
87views more  CONNECTION 2007»
14 years 9 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
15 years 3 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
14 years 11 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