27 search results - page 2 / 6 » Hierarchical genetic programming based on test input subsets |
SIGSOFT
2008
ACM
14 years 5 months ago
2008
ACM
Program input syntactic structure is essential for a wide range of applications such as test case generation, software debugging and network security. However, such important info...
ESANN
2006
13 years 6 months ago
2006
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
In this paper we show how genetic programming can be used to discover useful texture feature extraction algorithms. Grey level histograms of different textures are used as inputs ...
AAAI
1996
13 years 6 months ago
1996
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
We describe a methodology for evolving Java bytecode, enabling the evolution of extant, unrestricted Java programs, or programs in other languages that compile to Java bytecode. B...