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DMIN
2006
126views Data Mining» more  DMIN 2006»
13 years 11 months ago
Comparison and Analysis of Mutation-based Evolutionary Algorithms for ANN Parameters Optimization
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
Kristina Davoian, Alexander Reichel, Wolfram-Manfr...
NIPS
1997
13 years 11 months ago
Relative Loss Bounds for Multidimensional Regression Problems
We study on-line generalized linear regression with multidimensional outputs, i.e., neural networks with multiple output nodes but no hidden nodes. We allow at the final layer tra...
Jyrki Kivinen, Manfred K. Warmuth
CLEF
2010
Springer
13 years 11 months ago
Combination of Classifiers for Indoor Room Recognition CGS participation at ImageCLEF2010 Robot Vision Task
This paper represents a description of our approach to the problem of topological localization of a mobile robot using visual information. Our method has been developed for ImageCL...
Walter Lucetti, Emanuel Luchetti
EVOW
2008
Springer
13 years 11 months ago
Discovering Several Robot Behaviors through Speciation
Abstract. This contribution studies speciation from the standpoint of evolutionary robotics (ER). A common approach to ER is to design a robot’s control system using neuro-evolut...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 11 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...