411 search results - page 8 / 83 » Automatically finding patches using genetic programming |
EPS
1998
Springer
14 years 2 months ago
1998
Springer
We use the genetic programming (GP) paradigm for two tasks. The first task given a GP is the generation of rules for the target / clutter classification of a set of synthetic apert...
GECCO
2009
Springer
13 years 7 months ago
2009
Springer
An iterated function f(x) is a function that when composed with itself, produces a given expression f(f(x))=g(x). Iterated functions are essential constructs in fractal theory and...
GECCO
2007
Springer
14 years 4 months ago
2007
Springer
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming a...
GECCO
2006
Springer
14 years 1 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...
TITS
2008
13 years 10 months ago
2008
Abstract--In this paper, the implementation of genetic programming (GP) to design a controller structure is assessed. GP is used to evolve control strategies that, given the curren...