127 search results - page 21 / 26 » Bayesian Evolutionary Optimization Using Helmholtz Machines |
98
Voted
TNN
2010
14 years 4 months ago
2010
In this paper, we present the evolution of adaptive resonance theory (ART) neural network architectures (classifiers) using a multiobjective optimization approach. In particular, w...
GECCO
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. This paper describes the application of four evolutionary algorithms to the pruning of neural networks used in classification problems. Besides of a simple genetic algor...
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
The key ideas behind most of the recently proposed Markov networks based EDAs were to factorise the joint probability distribution in terms of the cliques in the undirected graph....
SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
Brain machine interfaces work by mapping the relevant neural activity to the intended movement known as ‘decoding’. Here, we develop a recursive Bayesian decoder for goaldirec...