505 search results - page 22 / 101 » Using Genetic Programming to Increase Rule Quality |
ECP
1997
Springer
13 years 12 months ago
1997
Springer
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
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...
EPS
1997
Springer
13 years 12 months ago
1997
Springer
Genetic Programming is increasing in popularity as the basis for a wide range of learning algorithms. However, the technique has to date only been successfully applied to modest t...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. Genetic Programming often uses excessive computational resources because the population size and the maximum number of generations per run are not optimized. We have deve...
ACSW
2004
13 years 9 months ago
2004
This paper describes an approach to the use of gradient descent search in genetic programming (GP) for object classification problems. In this approach, pixel statistics are used ...