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» On the Use of Neural Network Ensembles in QSAR and QSPR
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SBRN
2006
IEEE
14 years 1 months ago
A Dynamic Classifier Selection Method to Build Ensembles using Accuracy and Diversity
Alixandre Santana, Rodrigo G. F. Soares, Anne M. P...
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...
ICML
2003
IEEE
14 years 7 months ago
The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
Gavin Brown, Jeremy L. Wyatt
ICANN
2009
Springer
13 years 11 months ago
Statistical Instance-Based Ensemble Pruning for Multi-class Problems
Recent research has shown that the provisional count of votes of an ensemble of classifiers can be used to estimate the probability that the final ensemble prediction coincides w...
Gonzalo Martínez-Muñoz, Daniel Hern&...
IJON
2008
116views more  IJON 2008»
13 years 7 months ago
Evolutionary ensemble of diverse artificial neural networks using speciation
Recently, many researchers have designed neural network architectures with evolutionary algorithms but most of them have used only the fittest solution of the last generation. To ...
Kyung-Joong Kim, Sung-Bae Cho