110 search results - page 4 / 22 » Forest trees for on-line data |
IJAR
2010
13 years 6 months ago
2010
Following Breiman’s methodology, we propose a multi-classifier based on a “forest” of randomly generated fuzzy decision trees, i.e., a Fuzzy Random Forest. This approach co...
COLT
2010
Springer
13 years 5 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...
ECAI
2006
Springer
13 years 11 months ago
2006
Springer
Grafted trees are trees that are constructed using two methods. The first method creates an initial tree, while the second method is used to complete the tree. In this work, the fi...
SADM
2011
13 years 2 months ago
2011
: Minimal depth is a dimensionless order statistic that measures the predictiveness of a variable in a survival tree. It can be used to select variables in high-dimensional problem...
SIGKDD
2000
13 years 7 months ago
2000
Kernel Miner is a new data-mining tool based on building the optimal decision forest. The tool won second place in the KDD'99 Classifier Learning Contest, August 1999. We des...