128 search results - page 3 / 26 » Adapting the Fitness Function in GP for Data Mining |
GPEM
2006
13 years 7 months ago
2006
Genetic programming (GP) extends traditional genetic algorithms to automatically induce computer programs. GP has been applied in a wide range of applications such as software ree...
EUROGP
2000
Springer
13 years 11 months ago
2000
Springer
We show genetic programming (GP) populations can evolve under the influence of a Pareto multi-objective fitness and program size selection scheme, from "perfect" programs...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
CEC
2010
IEEE
13 years 5 months ago
2010
IEEE
The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases availab...
ICCS
2007
Springer
13 years 11 months ago
2007
Springer
Common techniques tackling the task of classification in data mining employ ansatz functions associated to training data points to fit the data as well as possible. Instead, the fe...