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IJCNN
2006
IEEE
14 years 1 months ago
Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks
— The idea of using evolutionary techniques to optimize the performance of neural networks is now widely used, but some approaches have been found to result in the evolution of r...
John A. Bullinaria
IJCNN
2006
IEEE
14 years 1 months ago
Ensemble of Neural Network Emulations for Climate Model Physics: The Impact on Climate Simulations
—A new application of the NN ensemble approach is presented. It is applied to NN emulations of model physics in complex numerical climate models, and aimed at improving the accur...
Michael S. Fox-Rabinovitz, Vladimir M. Krasnopolsk...
IWANN
2009
Springer
14 years 2 months ago
Ensemble Methods for Boosting Visualization Models
Bruno Baruque, Emilio Corchado, Aitor Mata, Juan M...
ROCAI
2004
Springer
14 years 1 months ago
An Empirical Evaluation of Supervised Learning for ROC Area
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,...
Rich Caruana, Alexandru Niculescu-Mizil
ICANN
2007
Springer
14 years 2 months ago
Selection of Decision Stumps in Bagging Ensembles
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...
Gonzalo Martínez-Muñoz, Daniel Hern&...