123 search results - page 15 / 25 » Multi-information Ensemble Diversity |
ICMLC
2010
Springer
13 years 6 months ago
2010
Springer
: Bagging (Bootstrap Aggregating) has been proved to be a useful, effective and simple ensemble learning methodology. In generic bagging methods, all the classifiers which are trai...
ACL
2012
11 years 11 months ago
2012
Statistical machine translation is often faced with the problem of combining training data from many diverse sources into a single translation model which then has to translate se...
MCS
2010
Springer
13 years 10 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...
CBMS
2004
IEEE
14 years 5 days ago
2004
IEEE
Ensemble techniques have been successfully applied in the context of supervised learning to increase the accuracy and stability of classification. Recently, analogous techniques fo...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Bagging is an ensemble method that uses random resampling of a dataset to construct models. In classification scenarios, the random resampling procedure in bagging induces some c...