212 search results - page 19 / 43 » Optimal sampling of genetic algorithms on polynomial regress... |
76
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ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
116
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GECCO
2009
Springer
14 years 7 months ago
2009
Springer
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
GECCO
2010
Springer
15 years 2 months ago
2010
Springer
The original mechanism by which evolutionary algorithms were to solve problems was to allow for the gradual discovery of sub-solutions to sub-problems, and the automated combinati...
DAGSTUHL
2007
14 years 11 months ago
2007
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...