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» Techniques for Optimization of Net Algorithms
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GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 8 months 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
103views Optimization» more  GECCO 2008»
15 years 5 months ago
How generative encodings fare on less regular problems
Generative representations allow the reuse of code and thus facilitate the evolution of repeated phenotypic themes or modules. It has been shown that generative representations pe...
Jeff Clune, Charles Ofria, Robert T. Pennock
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 5 months ago
Developing neural structure of two agents that play checkers using cartesian genetic programming
A developmental model of neural network is presented and evaluated in the game of Checkers. The network is developed using cartesian genetic programs (CGP) as genotypes. Two agent...
Gul Muhammad Khan, Julian Francis Miller, David M....
IJHPCA
2007
88views more  IJHPCA 2007»
15 years 4 months ago
Scaling Properties of Common Statistical Operators for Gridded Datasets
An accurate cost-model that accounts for dataset size and structure can help optimize geoscience data analysis. We develop and apply a computational model to estimate data analysi...
Charles S. Zender, Harry Mangalam
CCP
2011
136views more  CCP 2011»
14 years 4 months ago
Fast Implementation of Block Motion Estimation Algorithms in Video Encoders
This project will involve analysing some of the newer fast algorithms in comparison with an exhaustive full search algorithm for motion estimation in video encoders. It will invest...
Naga Rohini Koduri, Mqhele E. Dlodlo, Gerhard de J...