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FLAIRS
2008
13 years 11 months ago
Evolutionary Learning of Dynamic Naive Bayesian Classifiers
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...
Miguel A. Palacios-Alonso, Carlos A. Brizuela, Lui...
ICES
2005
Springer
176views Hardware» more  ICES 2005»
14 years 2 months ago
Consensus-Based Evaluation for Fault Isolation and On-line Evolutionary Regeneration
While the fault repair capability of Evolvable Hardware (EH) approaches have been previously demonstrated, further improvements to fault handling capability can be achieved by exp...
Kening Zhang, Ronald F. DeMara, Carthik A. Sharma
ICCS
2004
Springer
14 years 2 months ago
Intrinsic Evolution of Analog Circuits on a Programmable Analog Multiplexer Array
This work discusses an Evolvable Hardware (EHW) platform for the intrinsic evolution of analog electronic circuits. The EHW analog platform, named PAMA-NG (Programmable Analog Mult...
José Franco Machado do Amaral, Jorge Lu&iac...
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
14 years 21 days ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing
GECCO
2008
Springer
180views Optimization» more  GECCO 2008»
13 years 10 months ago
An agent-based collaborative evolutionary model for multimodal optimization
A novel approach to multimodal optimization called Roaming Agent-Based Collaborative Evolutionary Model (RACE) combining several evolutionary techniques with agent-based modeling ...
Rodica Ioana Lung, Camelia Chira, Dumitru Dumitres...