1420 search results - page 26 / 284 » Cluster Ensemble Selection |
111
Voted
ROCAI
2004
Springer
15 years 5 months ago
2004
Springer
We present an empirical comparison of the AUC performance of seven supervised learning methods: SVMs, neural nets, decision trees, k-nearest neighbor, bagged trees, boosted trees,...
95
Voted
FLAIRS
2008
15 years 2 months ago
2008
An ensemble of classifiers is a set of classifiers whose predictions are combined in some way to classify new instances. Early research has shown that, in general, an ensemble of ...
GECCO
2006
Springer
15 years 4 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...
150
Voted
AI
2002
Springer
15 years 11 days ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
104
Voted
IJCNN
2007
IEEE
15 years 6 months ago
2007
IEEE
— This paper proposes an algorithm to deal with the feature selection in Gaussian mixture clustering by an iterative way: the algorithm iterates between the clustering and the un...