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GECCO
2009
Springer
194views Optimization» more  GECCO 2009»
14 years 3 months ago
Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers
The optimization method is one of key issues in discriminative learning of pattern classifiers. This paper proposes a hybrid approach of the Covariance Matrix Adaptation Evolution...
Xuefeng Chen, Xiabi Liu, Yunde Jia
EUROCAST
2007
Springer
126views Hardware» more  EUROCAST 2007»
14 years 2 months ago
Determining Orbital Elements of Extrasolar Planets by Evolution Strategies
After the detection of the first extrasolar planet (exoplanet) more than one decade ago we currently know about more than 200 planets around other stars and there are about twenty...
Andreas M. Chwatal, Günther R. Raidl
CEC
2005
IEEE
14 years 2 months ago
Dynamic niching in evolution strategies with covariance matrix adaptation
Abstract- Evolutionary Algorithms (EAs) have the tendency to converge quickly into a single solution in the search space. However, many complex search problems require the identi...
Ofer M. Shir, Thomas Bäck
GECCO
2004
Springer
14 years 1 months ago
Validating a Model of Colon Colouration Using an Evolution Strategy with Adaptive Approximations
The colour of colon tissue, which depends on the tissue structure, its optical properties, and the quantities of the pigments present in it, can be predicted by a physics-based mod...
Dzena Hidovic, Jonathan E. Rowe
ILP
2003
Springer
14 years 1 months ago
A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting
Boosting has established itself as a successful technique for decreasing the generalization error of classification learners by basing predictions on ensembles of hypotheses. Whil...
Susanne Hoche, Stefan Wrobel