17 search results - page 2 / 4 » The Diversity of Regression Ensembles Combining Bagging and ... |
ICDM
2009
IEEE
14 years 3 days ago
2009
IEEE
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...
PR
2007
13 years 5 months ago
2007
Ensemble learning is attracting much attention from pattern recognition and machine learning domains for good generalization. Both theoretical and experimental researches show tha...
MCS
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. A new optimization technique is proposed for classifiers fusion — Cooperative Coevolutionary Ensemble Learning (CCEL). It is based on a specific multipopulational evo...
ICPR
2008
IEEE
14 years 6 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...
GECCO
2006
Springer
13 years 9 months ago
2006
Springer
Various methods for ensemble selection and classifier combination have been designed to optimize the results of ensembles of classifiers. Genetic algorithm (GA) which uses the div...