1149 search results - page 50 / 230 » Comparing parameter tuning methods for evolutionary algorith... |
92
Voted
ICML
2003
IEEE
15 years 12 months ago
2003
IEEE
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
87
Voted
VIP
2001
15 years 13 days ago
2001
A new graph algorithm for multiscale segmentation of threedimensional medical data sets is presented. It is a threedimensional generalisation of an existing two-dimensional Mumfor...
SRDS
2010
IEEE
14 years 9 months ago
2010
IEEE
With the growing scale of current computing systems, traditional configuration tuning methods become less effective because they usually assume a small number of parameters in the...
CIKM
2008
Springer
15 years 1 months ago
2008
Springer
Background: Accurate estimation of statistical significance of a pairwise alignment is an important problem in sequence comparison. Recently, a comparative study of pairwise stati...
88
Voted
HIS
2008
15 years 15 days ago
2008
Most symbolic classifiers aim at building sets of rules with good coverage and precision. While this is suitable for most applications, they tend to neglect other desirable proper...