1614 search results - page 130 / 323 » Polymorphism and Genetic Programming |
GECCO
2007
Springer
15 years 4 months ago
2007
Springer
We consider multitask learning of visual concepts within genetic programming (GP) framework. The proposed method evolves a population of GP individuals, with each of them composed...
ICDM
2005
IEEE
15 years 3 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...
WAC
2005
Springer
15 years 3 months ago
2005
Springer
Truly autonomic networks ultimately require self-modifying, evolving protocol software. Otherwise humans must intervene in every situation that has not been anticipated at design t...
EUROGP
2004
Springer
15 years 3 months ago
2004
Springer
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. Bloat is a common and well studied problem in genetic programming. Size and depth limits are often used to combat bloat, but to date there has been little detailed explor...