19 search results - page 1 / 4 » Combining Bagging and Random Subspaces to Create Better Ense... |
IDA
2007
Springer
13 years 11 months ago
2007
Springer
Random forests are one of the best performing methods for constructing ensembles. They derive their strength from two aspects: using random subsamples of the training data (as in b...
ICDM
2009
IEEE
13 years 11 months 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 ...
ICONIP
2008
13 years 6 months ago
2008
Abstract. The concept of Ensemble Learning has been shown to increase predictive power over single base learners. Given the bias-variancecovariance decomposition, diversity is char...
FLAIRS
2004
13 years 6 months ago
2004
In this work we present a novel approach to ensemble learning for regression models, by combining the ensemble generation technique of random subspace method with the ensemble int...
EVOW
2008
Springer
13 years 6 months ago
2008
Springer
Classifier fusion strategies have shown great potential to enhance the performance of pattern recognition systems. There is an agreement among researchers in classifier combination...