1648 search results - page 70 / 330 » A Modelling Framework for Functional Imagination |
CEC
2003
IEEE
15 years 5 months ago
2003
IEEE
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
IJON
2008
14 years 12 months ago
2008
Identifiability becomes an essential requirement for learning machines when the models contain physically interpretable parameters. This paper presents two approaches to examining...
ECML
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. We study discriminative joint density models, that is, generative models for the joint density p(c, x) learned by maximizing a discriminative cost function, the condition...
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CVPR
2004
IEEE
16 years 1 months ago
2004
IEEE
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...