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IEEEHPCS
2010
14 years 7 months ago
Fast learning for multibiometrics systems using genetic algorithms
The performance (in term of error rate) of biometric systems can be improved by combining them. Multiple fusion techniques can be applied from classical logical operations to more...
Romain Giot, Mohamad El-Abed, Christophe Rosenberg...
BC
2002
91views more  BC 2002»
14 years 9 months ago
Mathematical formulations of Hebbian learning
Several formulations of correlation-based Hebbian learning are reviewed. On the presynaptic side, activity is described either by a firing rate or by presynaptic spike arrival. The...
Wulfram Gerstner, Werner M. Kistler
IJCAI
2003
14 years 11 months ago
Simultaneous Adversarial Multi-Robot Learning
Multi-robot learning faces all of the challenges of robot learning with all of the challenges of multiagent learning. There has been a great deal of recent research on multiagent ...
Michael H. Bowling, Manuela M. Veloso
80
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GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
15 years 3 months ago
Empirical analysis of generalization and learning in XCS with gradient descent
We analyze generalization and learning in XCS with gradient descent. At first, we show that the addition of gradient in XCS may slow down learning because it indirectly decreases...
Pier Luca Lanzi, Martin V. Butz, David E. Goldberg
ANNPR
2008
Springer
14 years 11 months ago
Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
Jean-François Connolly, Eric Granger, Rober...