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NIPS
2007
15 years 5 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
119
Voted
AAAI
1994
15 years 5 months ago
Experience-Aided Diagnosis for Complex Devices
This paper presents a novel approach to diagnosis which addresses the two problems - computational complexity of abduction and device models - that have prevented model-based diag...
Michel P. Féret, Janice I. Glasgow
104
Voted
CORR
2008
Springer
98views Education» more  CORR 2008»
15 years 3 months ago
Local Information Based Algorithms for Packet Transport in Complex Networks
Abstract. We introduce four algorithms for packet transport in complex networks. These algorithms use deterministic rules which depend, in different ways, on the degree of the node...
Bernard Kujawski, G. J. Rodgers, Bosiljka Tadic
109
Voted
IJON
2007
114views more  IJON 2007»
15 years 3 months ago
A cell assembly model for complex behaviour
Hebbian cell assemblies have been proposed as a model for cortical processing able to bridge between physiology and psychology. Assembly-based theories focused mainly on represent...
Thomas Wennekers
129
Voted
TCS
2008
15 years 3 months ago
Itemset frequency satisfiability: Complexity and axiomatization
Computing frequent itemsets is one of the most prominent problems in data mining. We study the following related problem, called FREQSAT, in depth: given some itemset-interval pai...
Toon Calders