168 search results - page 20 / 34 » Boosting ridge regression |
JMLR
2008
13 years 7 months ago
2008
The statistical perspective on boosting algorithms focuses on optimization, drawing parallels with maximum likelihood estimation for logistic regression. In this paper we present ...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Policy gradient approaches are a powerful instrument for learning how to interact with the environment. Existing approaches have focused on propositional and continuous domains on...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Conditional Random Fields (CRFs) provide a powerful instrument for labeling sequences. So far, however, CRFs have only been considered for labeling sequences over flat al...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
This paper describes a novel application of Statistical Learning Theory (SLT) to control model complexity in flow estimation. SLT provides analytical generalization bounds suitabl...