246 search results - page 4 / 50 » Calibrating Random Forests |
ECCV
2006
Springer
14 years 8 months ago
2006
Springer
MCS
2007
Springer
14 years 14 days 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...
BMCBI
2006
13 years 6 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 ...
JMLR
2008
13 years 6 months ago
2008
In the last years of his life, Leo Breiman promoted random forests for use in classification. He suggested using averaging as a means The second author's research was sponso...
ICIP
2010
IEEE
13 years 4 months ago
2010
IEEE
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...