170 search results - page 1 / 34 » Learning Functional Dependency Networks Based on Genetic Pro... |
ICDM
2005
IEEE
13 years 10 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...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
— The joint analysis of genetic and brain imaging data is the key to understand the genetic underpinnings of brain dysfunctions in several psychiatric diseases known to have a st...
AE
2007
Springer
13 years 11 months ago
2007
Springer
The work presented in this paper is part of the development of a robotic system able to learn context dependent visual clues to navigate in its environment. We focus on the obstacl...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...