81 search results - page 11 / 17 » Learning Probabilistic Tree Grammars for Genetic Programming |
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
We propose a method of knowledge reuse between evolutionary processes that solve different optimization tasks. We define the method in the framework of tree-based genetic progra...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
CGO
2009
IEEE
14 years 3 months ago
2009
IEEE
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
AHS
2007
IEEE
14 years 2 months ago
2007
IEEE
Finite impulse response (FIR) structures are the most commonly used digital filters and can be found in various areas of everyday life. In this paper we introduce a novel approac...
GECCO
2010
Springer
13 years 11 months ago
2010
Springer
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...