95 search results - page 8 / 19 » Boosting SVM classifiers by ensemble |
AAAI
1998
13 years 9 months ago
1998
The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has sh...
MCS
2002
Springer
13 years 7 months ago
2002
Springer
Bagging and boosting are two popular ensemble methods that achieve better accuracy than a single classifier. These techniques have limitations on massive datasets, as the size of t...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Face representations based on Gabor features have achieved great success in face recognition, such as Elastic Graph Matching, Gabor Fisher Classifier (GFC), and AdaBoosted Gabor F...
AAAI
2008
13 years 10 months ago
2008
It is well-known that diversity among base classifiers is crucial for constructing a strong ensemble. Most existing ensemble methods obtain diverse individual learners through res...