1021 search results - page 1 / 205 » Model selection in genetic programming |
GECCO
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...
GECCO
2005
Springer
13 years 9 months ago
2005
Springer
This contribution proposes an enhanced and generic selection model for Genetic Algorithms (GAs) and Genetic Programming (GP) which is able to preserve the alleles which are part o...
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
Investors vary with respect to their expected return and aversion to associated risk, and hence also vary in their performance expectations of the stock market portfolios they hol...
IWINAC
2005
Springer
13 years 9 months ago
2005
Springer
Whereas the selection concept of Genetic Algorithms (GAs) and Genetic Programming (GP) is basically realized by the selection of above-average parents for reproduction, Evolution S...
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...