81 search results - page 6 / 17 » Learning Probabilistic Tree Grammars for Genetic Programming |
GECCO
2007
Springer
14 years 2 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...
GECCO
2009
Springer
14 years 1 months ago
2009
Springer
Shin et al [19] and McKay et al [15] previously applied tree compression and semantics-based simplification to study the distribution of building blocks in evolving Genetic Progr...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
The result of the program encoded into a Genetic Programming (GP) tree is usually returned by the root of that tree. However, this is not a general strategy. In this paper we pres...
JASIS
2000
13 years 8 months ago
2000
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
IWVF
2001
Springer
14 years 26 days ago
2001
Springer
In the framework of an evolutionary approach to machine learning, this paper presents the preliminary version of a learning system that uses Genetic Programming as a tool for autom...