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PKDD
2001
Springer
78views Data Mining» more  PKDD 2001»
13 years 9 months ago
Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution
Roberto R. F. Mendes, Fabricio de B. Voznika, Alex...
EUROGP
2004
Springer
133views Optimization» more  EUROGP 2004»
13 years 10 months ago
Lymphoma Cancer Classification Using Genetic Programming with SNR Features
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
Jin-Hyuk Hong, Sung-Bae Cho
CEC
2008
IEEE
13 years 11 months ago
Policy evolution with Genetic Programming: A comparison of three approaches
— In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is now much more complex. Subt...
Yow Tzu Lim, Pau-Chen Cheng, John Andrew Clark, Pa...
GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
13 years 5 months ago
MLS security policy evolution with genetic programming
In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is becoming much more complex. S...
Yow Tzu Lim, Pau-Chen Cheng, Pankaj Rohatgi, John ...
ESANN
2004
13 years 6 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk