9 search results - page 1 / 2 » Nonlinear parametric regression in genetic programming |
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
We hypothesize that the relationship between parameter settings, speci cally parameters controlling mutation, and performance is non-linear in genetic programs. Genetic programmin...
GECCO
2004
Springer
13 years 10 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
2008
Springer
13 years 5 months ago
2008
Springer
The study of common, complex multifactorial diseases in genetic epidemiology is complicated by nonlinearity in the genotype-to-phenotype mapping relationship that is due, in part,...
GECCO
2009
Springer
13 years 2 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...