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» Automated Learning of Rules Using Genetic Operators
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IWFM
1998
117views Formal Methods» more  IWFM 1998»
13 years 9 months ago
A Case Study on Proving Transformations Correct: Data-Parallel Conversion
The issue of correctness in the context of a certain style of program transformation is investigated. This style is characterised by the fully automated application of large numbe...
Stephen Kilpatrick, Maurice Clint, Peter Kilpatric...
SAC
2009
ACM
14 years 2 months ago
LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction
Decision trees are widely disseminated as an effective solution for classification tasks. Decision tree induction algorithms have some limitations though, due to the typical strat...
Márcio P. Basgalupp, Rodrigo C. Barros, And...
ECP
1997
Springer
128views Robotics» more  ECP 1997»
13 years 12 months ago
SINERGY: A Linear Planner Based on Genetic Programming
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...
Ion Muslea
GECCO
2003
Springer
117views Optimization» more  GECCO 2003»
14 years 29 days ago
A Method for Handling Numerical Attributes in GA-Based Inductive Concept Learners
This paper proposes a method for dealing with numerical attributes in inductive concept learning systems based on genetic algorithms. The method uses constraints for restricting th...
Federico Divina, Maarten Keijzer, Elena Marchiori
GECCO
2011
Springer
236views Optimization» more  GECCO 2011»
12 years 11 months ago
Online, GA based mixture of experts: a probabilistic model of ucs
In recent years there have been efforts to develop a probabilistic framework to explain the workings of a Learning Classifier System. This direction of research has met with lim...
Narayanan Unny Edakunni, Gavin Brown, Tim Kovacs