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ESANN
2006
13 years 10 months ago
Using distributed genetic programming to evolve classifiers for a brain computer interface
The objective of this paper is to illustrate the application of genetic programming to evolve classifiers for multi-channel time series data. The paper shows how high performance d...
Eva Alfaro-Cid, Anna Esparcia-Alcázar, Ken ...
CEC
2003
IEEE
14 years 2 months ago
Diversity analysis in cellular and multipopulation genetic programming
This paper presents a study that evaluates the influence of the parallel genetic programming (GP) models in maintaining diversity in a population. The parallel models used are the...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
GECCO
1999
Springer
14 years 1 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...
MCS
2001
Springer
14 years 1 months ago
Genetic Programming for Improved Receiver Operating Characteristics
Genetic programming (GP) can automatically fuse given classifiers of diverse types to produce a combined classifier whose Receiver Operating Characteristics (ROC) are better than...
William B. Langdon, Bernard F. Buxton
GECCO
2000
Springer
142views Optimization» more  GECCO 2000»
14 years 12 days ago
Controlling Effective Introns for Multi-Agent Learning by Genetic Programming
This paper presents the emergence of the cooperative behavior for multiple agents by means of Genetic Programming (GP). For the purpose of evolving the effective cooperative behav...
Hitoshi Iba, Makoto Terao