81 search results - page 7 / 17 » Learning Probabilistic Tree Grammars for Genetic Programming |
PRL
2002
13 years 8 months ago
2002
This paper presents a learning system that uses genetic programming as a tool for automatically inferring the set of classification rules to be used during a preclassification sta...
GECCO
2007
Springer
14 years 9 days ago
2007
Springer
The Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP) algorithm that cooperatively coevolves a population of adaptive mappings and associated genotypes is...
ICDM
2005
IEEE
14 years 2 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...
GECCO
2004
Springer
14 years 1 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
2008
Springer
13 years 9 months ago
2008
Springer
One crucial issue in genetic programming (GP) is how to acquire promising building blocks efficiently. In this paper, we propose a GP method (called GPTM, GP with Tree Mining) whi...