916 search results - page 3 / 184 » Algorithm selection: a quantitative computation-intensive op... |
BMCBI
2004
13 years 7 months ago
2004
Background: Microarray data normalization is an important step for obtaining data that are reliable and usable for subsequent analysis. One of the most commonly utilized normaliza...
TEC
2008
13 years 7 months ago
2008
This paper emphasizes the necessity of formally bringing qualitative and quantitative criteria of ergonomic design together, and provides a novel complementary design framework wit...
ICML
2004
IEEE
14 years 24 days ago
2004
IEEE
LASSO (Least Absolute Shrinkage and Selection Operator) is a useful tool to achieve the shrinkage and variable selection simultaneously. Since LASSO uses the L1 penalty, the optim...
ESCIENCE
2006
IEEE
14 years 1 months ago
2006
IEEE
This paper presents quantitative comparison of the performance of different methods for selecting the guide particle for multi-objective particle swarm optimization (MOPSO). Two p...
CEC
2005
IEEE
14 years 1 months ago
2005
IEEE
The building blocks are common structures of high-quality solutions. Genetic algorithms often assume the building-block hypothesis. It is hypothesized that the high-quality solutio...