188 search results - page 4 / 38 » Random Forests and Kernel Methods |
MCS
2007
Springer
13 years 12 months ago
2007
Springer
Rotation Forest is a recently proposed method for building classifier ensembles using independently trained decision trees. It was found to be more accurate than bagging, AdaBoost...
COLT
2010
Springer
13 years 3 months ago
2010
Springer
We study graph estimation and density estimation in high dimensions, using a family of density estimators based on forest structured undirected graphical models. For density estim...
BMCBI
2006
13 years 5 months ago
2006
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Discriminative tracking has become popular tracking methods due to their descriptive power for foreground/background separation. Among these methods, online random forest is recen...
ICPR
2008
IEEE
14 years 6 days ago
2008
IEEE
Given a bipartite graph of collaborative ratings, the task of recommendation and rating prediction can be modeled with graph kernels. We interpret these graph kernels as the inver...