104 search results - page 2 / 21 » Nodes of large degree in random trees and forests |
ILP
2004
Springer
13 years 10 months ago
2004
Springer
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
ICMLA
2008
13 years 6 months ago
2008
Using decision trees that split on randomly selected attributes is one way to increase the diversity within an ensemble of decision trees. Another approach increases diversity by ...
IBPRIA
2007
Springer
13 years 9 months ago
2007
Springer
Random forest is a collection (ensemble) of decision trees. It is a popular ensemble technique in pattern recognition. In this article, we apply random forest for cancer classifica...
IFSA
2007
Springer
13 years 11 months ago
2007
Springer
Tree mining consists in discovering the frequent subtrees from a forest of trees. This problem has many application areas. For instance, a huge volume of data available from the In...
EJC
2010
13 years 5 months ago
2010
We consider the number of nodes in the levels of unlabelled rooted random trees and show that the stochastic process given by the properly scaled level sizes weakly converges to th...