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ICANN
2010
Springer
15 years 4 months ago
Computational Properties of Probabilistic Neural Networks
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
Jiri Grim, Jan Hora
KES
2006
Springer
15 years 4 months ago
Neural Network Classification of Diesel Spray Images
This paper describes an evaluation of a neural network technique for modelling fuel spray penetration in the cylinder of a diesel internal combustion engine. The model was implemen...
Simon D. Walters, Shaun H. Lee, Cyril Crua, Robert...
IJON
2007
93views more  IJON 2007»
15 years 3 months ago
Development of multi-cluster cortical networks by time windows for spatial growth
Many neural networks, such as the complex cortical networks of the mammalian brain, are organized in multiple clusters, with many connections within but few links between clusters...
Marcus Kaiser, Claus C. Hilgetag
INFOCOM
2010
IEEE
15 years 2 months ago
Greedy Forwarding in Dynamic Scale-Free Networks Embedded in Hyperbolic Metric Spaces
In this paper we show that complex (scale-free) network topologies naturally emerge from hyperbolic metric spaces. The hyperbolic geometry can be used to facilitate maximally ef...
Fragkiskos Papadopoulos, Dmitri V. Krioukov, Mari&...
143
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CP
2003
Springer
15 years 9 months ago
Improved Algorithms for Max-restricted Path Consistency
A binary constraints network consists of a set of n variables, defined on domains of size at most d, and a set of e binary constraints. The binary constraint satisfaction problem ...
Fabrizio Grandoni, Giuseppe F. Italiano