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GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
14 years 3 months ago
Genetic programming as a method to develop powerful predictive models for clinical diagnosis
In the field of medicine it is of vital importance to accurately predict the presence of a disease (diagnostic prediction) or the future occurrence of a certain event (prognostic...
Ivar Siccama, Maarten Keijzer
EUROGP
2004
Springer
129views Optimization» more  EUROGP 2004»
14 years 3 months ago
Evolution and Acquisition of Modules in Cartesian Genetic Programming
The paper presents for the first time automatic module acquisition and evolution within the graph based Cartesian Genetic Programming method. The method has been tested on a set of...
James Alfred Walker, Julian Francis Miller
IDEAL
2000
Springer
14 years 1 months ago
Combining Ordinal Financial Predictions with Genetic Programming
Abstract. Ordinal data play an important part in financial forecasting. For example, advice from expert sources may take the form of "bullish", "bearish" or &qu...
Edward P. K. Tsang, Jin Li
ESWA
2008
141views more  ESWA 2008»
13 years 9 months ago
Classifier design with feature selection and feature extraction using layered genetic programming
This paper proposes a novel method called FLGP to construct a classifier device of capability in feature selection and feature extraction. FLGP is developed with layered genetic p...
Jung-Yi Lin, Hao-Ren Ke, Been-Chian Chien, Wei-Pan...
CEC
2005
IEEE
14 years 3 months ago
Linear genetic programming using a compressed genotype representation
This paper presents a modularization strategy for linear genetic programming (GP) based on a substring compression/substitution scheme. The purpose of this substitution scheme is t...
Johan Parent, Ann Nowé, Kris Steenhaut, Ann...