69 search results - page 4 / 14 » Genetic Approach for Optimizing Ensembles of Classifiers |
105
Voted
CEC
2009
IEEE
15 years 3 months ago
2009
IEEE
—When performing predictive data mining, the use of ensembles is known to increase prediction accuracy, compared to single models. To obtain this higher accuracy, ensembles shoul...
103
Voted
ICTAI
2007
IEEE
15 years 6 months ago
2007
IEEE
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
116
Voted
MDAI
2005
Springer
15 years 5 months ago
2005
Springer
Combining a set of classifiers has often been exploited to improve the classification performance. Accurate as well as diverse base classifiers are prerequisite to construct a good...
113
Voted
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...
108
Voted
CEC
2005
IEEE
15 years 2 months ago
2005
IEEE
This paper presents an investigation into exploiting the population-based nature of Learning Classifier Systems for their use within highly-parallel systems. In particular, the use...