1420 search results - page 48 / 284 » Cluster Ensemble Selection |
121
Voted
BMCBI
2010
15 years 20 days 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...
103
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ICMLC
2010
Springer
14 years 10 months ago
2010
Springer
: Bagging (Bootstrap Aggregating) has been proved to be a useful, effective and simple ensemble learning methodology. In generic bagging methods, all the classifiers which are trai...
141
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BMCBI
2010
15 years 20 days 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 ...
142
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CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
The design of feature spaces for local image descriptors is an important research subject in computer vision due to its applicability in several problems, such as visual classifi...
113
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ICDAR
2003
IEEE
15 years 5 months ago
2003
IEEE
Classifier subset selection (CSS) from a large ensemble is an effective way to design multiple classifier systems (MCSs). Given a validation dataset and a selection criterion, the...