63 search results - page 10 / 13 » Kernelizing the output of tree-based methods |
ML
2006
ACM
13 years 7 months ago
2006
ACM
Abstract This paper proposes a new tree-based ensemble method for supervised classification and regression problems. It essentially consists of randomizing strongly both attribute ...
ESANN
2006
13 years 9 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
SAC
2009
ACM
14 years 2 months ago
2009
ACM
This paper proposes a novel recombination scheme for evolutionary algorithms, which can guide the new population generation towards the maximum increase of the objective function....
TKDE
2002
13 years 7 months ago
2002
The generation of a set of rules underlying a classification problem is performed by applying a new algorithm, called Hamming Clustering (HC). It reconstructs the and-or expressio...
SMC
2007
IEEE
14 years 2 months ago
2007
IEEE
—In real world machine vision problems, numerous issues such as variable scene illumination make edge and object detection difficult. There exists no universal edge detection met...