2898 search results - page 56 / 580 » Ensemble Methods in Machine Learning |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
ACL
2006
13 years 9 months ago
2006
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
EJASMP
2011
12 years 11 months ago
2011
We address the question of whether and how boosting and bagging can be used for speech recognition. In order to do this, we compare two different boosting schemes, one at the pho...
COLT
2008
Springer
13 years 9 months ago
2008
Springer
We consider the question of why modern machine learning methods like support vector machines outperform earlier nonparametric techniques like kNN. Our approach investigates the lo...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...