54 search results - page 6 / 11 » On improving genetic programming for symbolic regression |
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GECCO
2004
Springer
15 years 3 months ago
2004
Springer
The identification of genes that influence the risk of common, complex diseases primarily through interactions with other genes and environmental factors remains a statistical and ...
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
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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 1 months ago
2010
Springer
This paper presents a new form of Genetic Programming called Cartesian Genetic Programming in which a program is represented as an indexed graph. The graph is encoded in the form o...
CEC
2008
IEEE
15 years 4 months ago
2008
IEEE
— In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is now much more complex. Subt...