547 search results - page 21 / 110 » A hybrid approach to parameter tuning in genetic algorithms |
DMIN
2006
13 years 9 months ago
2006
Clustering is the process of locating patterns in large data sets. It is an active research area that provides value to scientific as well as business applications. Practical clust...
GEM
2007
13 years 9 months ago
2007
- Besides the difficulty of the application problem to be solved with Genetic Algorithms (GAs), an additional difficulty arises because the quality of the solution found, or the ...
SEMCCO
2010
13 years 5 months ago
2010
Differential Evolution (DE) has attracted much attention recently as an effective approach for solving numerical optimization problems. However, the performance of DE is sensitive ...
AUSAI
2004
Springer
14 years 28 days ago
2004
Springer
The K-means Fast Learning Artificial Neural Network (KFLANN) is a small neural network bearing two types of parameters, the tolerance, δ and the vigilance, µ. In previous papers,...
SEMCO
2007
IEEE
14 years 1 months ago
2007
IEEE
In this paper we describe a hybrid approach to improving semantic extraction from news video. Experiments show the value of careful parameter tuning, exploiting multiple feature s...