711 search results - page 51 / 143 » An Empirical Comparison of Selection Methods in Evolutionary... |
ICANNGA
2009
Springer
14 years 2 months ago
2009
Springer
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
AAAI
2012
11 years 10 months ago
2012
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Rigorous runtime analyses of evolutionary algorithms (EAs) mainly investigate algorithms that use elitist selection methods. Two algorithms commonly studied are Randomized Local S...
DAWAK
2006
Springer
13 years 11 months ago
2006
Springer
Many privacy preserving data mining algorithms attempt to selectively hide what database owners consider as sensitive. Specifically, in the association-rules domain, many of these ...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different mathemat...