180 search results - page 3 / 36 » An Ensemble Method for Selection of High Quality Parses |
JMLR
2006
13 years 7 months ago
2006
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
IJCNN
2000
IEEE
14 years 12 hour ago
2000
IEEE
In the field of pattern recognition, the combination of an ensemble of neural networks has been proposed as an approach to the development of high performance image classification...
PAA
2002
13 years 7 months ago
2002
: The idea of performing model combination, instead of model selection, has a long theoretical background in statistics. However, making use of theoretical results is ordinarily su...
BMCBI
2010
13 years 7 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 ...
ICDAR
2003
IEEE
14 years 27 days 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...