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» On the practical genetic algorithms
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GECCO
2007
Springer
207views Optimization» more  GECCO 2007»
16 years 24 days ago
A data parallel approach to genetic programming using programmable graphics hardware
In recent years the computing power of graphics cards has increased significantly. Indeed, the growth in the computing power of these graphics cards is now several orders of magn...
Darren M. Chitty
IWANN
2007
Springer
16 years 24 days ago
Multiple Instance Learning with Genetic Programming for Web Mining
Abstract. The aim of this paper is to present a new tool of multiple instance learning which is designed using a grammar based genetic programming (GGP) algorithm. We study its app...
Amelia Zafra, Sebastián Ventura, Enrique He...
GECCO
2010
Springer
182views Optimization» more  GECCO 2010»
15 years 11 months ago
Model selection in genetic programming
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...
Cruz E. Borges, César Luis Alonso, Jos&eacu...
GECCO
1999
Springer
15 years 11 months ago
Challenges with Verification, Repeatability, and Meaningful Comparison in Genetic Programming: Gibson's Magic
This paper examines some of the reporting and research practices concerning empirical work in genetic programming. We describe several common loopholes and offer three case studie...
Jason M. Daida, Derrick S. Ampy, Michael Ratanasav...
CSB
2004
IEEE
112views Bioinformatics» more  CSB 2004»
15 years 10 months ago
Inferring Genetic Networks from Microarray Data
In theory, it should be possible to infer realistic genetic networks from time series microarray data. In practice, however, network discovery has proved problematic. The three ma...
Shawn Martin, George Davidson, Elebeoba E. May, Je...