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» Unsupervised Problem Decomposition Using Genetic Programming
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EUROGP
2010
Springer
160views Optimization» more  EUROGP 2010»
14 years 10 months ago
Improving the Generalisation Ability of Genetic Programming with Semantic Similarity based Crossover
This paper examines the impact of semantic control on the ability of Genetic Programming (GP) to generalise via a semantic based crossover operator (Semantic Similarity based Cross...
Nguyen Quang Uy, Nguyen Thi Hien, Nguyen Xuan Hoai...
AHS
2006
IEEE
138views Hardware» more  AHS 2006»
15 years 3 months ago
Generalized Disjunction Decomposition for the Evolution of Programmable Logic Array Structures
Evolvable hardware refers to a self reconfigurable electronic circuit, where the circuit configuration is under the control of an evolutionary algorithm. Evolvable hardware has sh...
Emanuele Stomeo, Tatiana Kalganova, Cyrille Lamber...
ICPR
2008
IEEE
15 years 11 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
131
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Book
270views
16 years 5 months ago
A Field Guide To Genetic Programming
"GP is a systematic, domain-independent method for getting computers to solve problems automatically starting from a high-level statement of what needs to be done. Using ideas...
Riccardo Poli, William B. Langdon, Nicholas Freit...
ADBIS
2005
Springer
100views Database» more  ADBIS 2005»
15 years 3 months ago
Evolutionary Learning of Boolean Queries by Genetic Programming
Abstract. The performance of an information retrieval system is usually measured in terms of two different criteria, precision and recall. This way, the optimization of any of its...
Suhail S. J. Owais, Pavel Krömer, Václ...