161 search results - page 15 / 33 » Fitness Sharing in Genetic Programming |
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 ...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
Extending the notion of inheritable genotype in genetic programming (GP) from the common model of DNA into chromatin (DNA and histones), we propose an approach of embedding in GP a...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
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...
EUROGP
2005
Springer
14 years 1 months ago
2005
Springer
We describe a novel method for using Genetic Programming to create compact classification rules based on combinations of N-Grams (character strings). Genetic programs acquire fitne...