86 search results - page 1 / 18 » Visualizing Bagged Decision Trees |
KDD
1997
ACM
13 years 8 months ago
1997
ACM
COMSIS
2006
13 years 4 months ago
2006
In this paper we present an improvement of the precision of classification algorithm results. Two various approaches are known: bagging and boosting. This paper describes a set of ...
PAMI
2007
13 years 4 months ago
2007
Abstract—We experimentally evaluate bagging and seven other randomizationbased approaches to creating an ensemble of decision tree classifiers. Statistical tests were performed o...
ECAI
2006
Springer
13 years 8 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...
ROCAI
2004
Springer
13 years 10 months ago
2004
Springer
We present an empirical comparison of the AUC performance of seven supervised learning methods: SVMs, neural nets, decision trees, k-nearest neighbor, bagged trees, boosted trees,...