69 search results - page 5 / 14 » Genetic Approach for Optimizing Ensembles of Classifiers |
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
CIDM
2009
IEEE
14 years 2 months ago
2009
IEEE
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
BMCBI
2010
13 years 8 months ago
2010
Background: It has now become clear that gene-gene interactions and gene-environment interactions are ubiquitous and fundamental mechanisms for the development of complex diseases...
GECCO
2003
Springer
14 years 1 months ago
2003
Springer
One advantage of evolutionary multiobjective optimization (EMO) algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their si...
BMCBI
2010
13 years 8 months ago
2010
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...