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AICCSA
2006
IEEE
133views Hardware» more  AICCSA 2006»
13 years 11 months ago
Learning acyclic rules based on Chaining Genetic Programming
Multi-class problem is the class of problems having more than one classes in the data set. Bayesian Network (BN) is a well-known algorithm handling the multi-class problem and is ...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
ICANNGA
2007
Springer
138views Algorithms» more  ICANNGA 2007»
13 years 11 months ago
Liquid State Genetic Programming
Abstract. A new Genetic Programming variant called Liquid State Genetic Programming (LSGP) is proposed in this paper. LSGP is a hybrid method combining a dynamic memory for storing...
Mihai Oltean
MLMTA
2003
13 years 6 months ago
Guided Genetic Programming
This paper argues that genetic programming has not made good on its promise to generate computer programs automatically. It then describes an approach that would allow that promise...
Russ Abbott
FOGA
1990
13 years 6 months ago
A Hierarchical Approach to Learning the Boolean Multiplexer Function
This paper describes the recently developed genetic programming paradigm which genetically breeds populations of computer programs to solve problems. In genetic programming, the i...
John R. Koza
EUROGP
2008
Springer
137views Optimization» more  EUROGP 2008»
13 years 6 months ago
A Comparison of Cartesian Genetic Programming and Linear Genetic Programming
Two prominent genetic programming approaches are the graph-based Cartesian Genetic Programming (CGP) and Linear Genetic Programming (LGP). Recently, a formal algorithm for construc...
Garnett Carl Wilson, Wolfgang Banzhaf