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DAGSTUHL
2009
15 years 6 months ago
Advances in Feature Selection with Mutual Information
The selection of features that are relevant for a prediction or classification problem is an important problem in many domains involving high-dimensional data. Selecting features h...
Michel Verleysen, Fabrice Rossi, Damien Fran&ccedi...
ICANN
2010
Springer
15 years 6 months ago
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
Asja Fischer, Christian Igel
FSTTCS
2008
Springer
15 years 6 months ago
Graph Games on Ordinals
We consider an extension of Church’s synthesis problem to ordinals by adding limit transitions to graph games. We consider game arenas where these limit transitions are defined...
Julien Cristau, Florian Horn
GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
15 years 6 months ago
Image registration using genetic algorithms
This paper addresses the image registration problem applying genetic algorithms. The image registration’s objective is the definition of a mapping that best match two set of poi...
Flávio Luiz Seixas, Luiz Satoru Ochi, Aura ...
GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
15 years 6 months ago
Neuro-evolution for a gathering and collective construction task
In this paper we apply three Neuro-Evolution (NE) methods as controller design approaches in a collective behavior task. These NE methods are Enforced Sub-Populations, MultiAgent ...
D. W. F. van Krevelen, Geoff S. Nitschke