45 search results - page 2 / 9 » Random Subspacing for Regression Ensembles |
MCS
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. Functional magnetic resonance imaging (fMRI) is a noninvasive and powerful method for analysis of the operational mechanisms of the brain. fMRI classification poses a sev...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Most works based on diversity suggest that there exists only weak correlation between diversity and ensemble accuracy. We show that by combining the diversities with the classifica...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
Random subspaces are a popular ensemble construction technique that improves the accuracy of weak classifiers. It has been shown, in different domains, that random subspaces combi...
CEC
2007
IEEE
14 years 4 days ago
2007
IEEE
— This paper proposes to incorporate bootstrap of data, random feature subspace and evolutionary algorithm with negative correlation learning to automatically design accurate and...
IDA
2007
Springer
13 years 12 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...