12 search results - page 1 / 3 » Training Binary GP Classifiers Efficiently: A Pareto-coevolu... |
EUROGP
2007
Springer
13 years 9 months ago
2007
Springer
The conversion and extension of the Incremental Pareto-Coevolution Archive algorithm (IPCA) into the domain of Genetic Programming classification is presented. In particular, the ...
CORR
2006
Springer
13 years 5 months ago
2006
Springer
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
CEC
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract-- Reinforcement Programming (RP) is a new approach to automatically generating algorithms, that uses reinforcement learning techniques. This paper describes the RP approac...
ECCV
2000
Springer
14 years 6 months ago
2000
Springer
This paper presents a theoretically very simple yet efficient approach for gray scale and rotation invariant texture classification based on local binary patterns and nonparametric...
ICC
2007
IEEE
13 years 11 months ago
2007
IEEE
— We present a hybrid data mining approach to detect malicious executables. In this approach we identify important features of the malicious and benign executables. These feature...