56 search results - page 2 / 12 » Optimal ensemble construction via meta-evolutionary ensemble... |
BMCBI
2010
13 years 5 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 ...
ICB
2009
Springer
13 years 10 months ago
2009
Springer
In this paper, we propose a random network ensemble for face recognition problem, particularly for images with a large appearance variation and with a limited number of training se...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. This article presents a comprehensive study of different ensemble pruning techniques applied to a bagging ensemble composed of decision stumps. Six different ensemble p...
ICANN
2009
Springer
13 years 10 months ago
2009
Springer
Recent research has shown that the provisional count of votes of an ensemble of classifiers can be used to estimate the probability that the final ensemble prediction coincides w...
JMLR
2006
13 years 5 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...