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» Evolving neural network ensembles for control problems
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ECAL
2007
Springer
14 years 1 months ago
The Evolution of Pain
We describe two simple simulations in which artificial organisms evolve an ability to respond to inputs from within their own body and these inputs themselves can evolve. In the fi...
Alberto Acerbi, Domenico Parisi
ICML
2007
IEEE
14 years 8 months ago
An empirical evaluation of deep architectures on problems with many factors of variation
Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...
Hugo Larochelle, Dumitru Erhan, Aaron C. Courville...
PPSN
2010
Springer
13 years 6 months ago
Indirect Encoding of Neural Networks for Scalable Go
Abstract. The game of Go has attracted much attention from the artificial intelligence community. A key feature of Go is that humans begin to learn on a small board, and then incr...
Jason Gauci, Kenneth O. Stanley
GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
13 years 11 months ago
Efficiently evolving programs through the search for novelty
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Joel Lehman, Kenneth O. Stanley
BIOCOMP
2006
13 years 9 months ago
Reducing Harmful Effects Of Road Excitations On Human Health By Designing Car Active Suspension Systems
act Nowadays people are strongly dependent on cars for doing their tasks, but they usually are not aware of hazards which are awaiting them. For instance, since people travel with ...
Sara Sharifi Sedeh, Reza Sharifi Sedeh, Keivan Nav...