17 search results - page 1 / 4 » Constructing Diverse Classifier Ensembles using Artificial T... |
IJCAI
2003
13 years 6 months ago
2003
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
Ensemble of Classifiers (EoC) has been shown effective in improving the performance of single classifiers by combining their outputs. By using diverse data subsets to train classi...
CEC
2009
IEEE
13 years 8 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...
MDAI
2005
Springer
13 years 10 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...
ICDAR
2009
IEEE
13 years 11 months ago
2009
IEEE
For an online handwriting recognition system equipped with a writer-independent classifier to progressively improve the recognition performance for a specific writer with an incre...