3352 search results - page 26 / 671 » Hierarchical Problem Solving and the Bayesian Optimization A... |
157
click to vote
BMCBI
2008
15 years 2 months ago
2008
Background: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increas...
122
click to vote
GECCO
2006
Springer
15 years 6 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
117
Voted
CEC
2008
IEEE
15 years 9 months ago
2008
IEEE
—As more and more real-world optimization problems become increasingly complex, algorithms with more capable optimizations are also increasing in demand. For solving large scale ...
122
Voted
FLAIRS
2006
15 years 3 months ago
2006
There exist a number of algorithms that can solve dynamic constraint satisfaction/optimization problems (DynCSPs or DynCOPs). Because of the large variety in the characteristics o...
112
click to vote
CSDA
2007
15 years 2 months ago
2007
The problem of detecting changes in wind speed and direction is considered. Bayesian priors, with various degrees of certainty, are used to represent relationships between the two...