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» The Complexity of Weighted Boolean
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GECCO
2006
Springer
167views Optimization» more  GECCO 2006»
13 years 11 months ago
Genomic computing networks learn complex POMDPs
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
David J. Montana, Eric Van Wyk, Marshall Brinn, Jo...
NIPS
2007
13 years 9 months ago
Learning to classify complex patterns using a VLSI network of spiking neurons
We propose a compact, low power VLSI network of spiking neurons which can learn to classify complex patterns of mean firing rates on–line and in real–time. The network of int...
Srinjoy Mitra, Giacomo Indiveri, Stefano Fusi
FSE
2005
Springer
108views Cryptology» more  FSE 2005»
14 years 1 months ago
DPA Attacks and S-Boxes
For the power consumption model called Hamming weight model, we rewrite DPA attacks in terms of correlation coefficients between two Boolean functions. We exhibit properties of S-b...
Emmanuel Prouff
COMPLEX
2009
Springer
13 years 11 months ago
Allometric Scaling of Weighted Food Webs
Allometric scaling is an important universal property of metabolic living systems. It also describes the self-similar branching treeliked structures in transportation networks. Thi...
Jiang Zhang
GIS
2006
ACM
14 years 8 months ago
On-line maintenance of simplified weighted graphs for efficient distance queries
We give two efficient on-line algorithms to simplify weighted graphs by eliminating degree-two vertices. Our algorithms are on-line -- they react to updates on the data, keeping t...
Floris Geerts, Peter Z. Revesz, Jan Van den Bussch...