3 search results - page 1 / 1 » Building Emerging Pattern (EP) Random forest for recognition |
ICIP
2010
IEEE
13 years 2 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...
MCS
2007
Springer
13 years 11 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...
MCS
2004
Springer
13 years 10 months ago
2004
Springer
We experimentally evaluate bagging and six other randomization-based approaches to creating an ensemble of decision-tree classifiers. Bagging uses randomization to create multipl...