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» A Comparison of Ensemble Creation Techniques
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PAMI
2007
166views more  PAMI 2007»
13 years 7 months ago
A Comparison of Decision Tree Ensemble Creation Techniques
Abstract—We experimentally evaluate bagging and seven other randomizationbased approaches to creating an ensemble of decision tree classifiers. Statistical tests were performed o...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
MCS
2004
Springer
14 years 28 days ago
A Comparison of Ensemble Creation Techniques
We experimentally evaluate bagging and six other randomization-based approaches to creating an ensemble of decision-tree classifiers. Bagging uses randomization to create multipl...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
FLAIRS
2006
13 years 9 months ago
Introducing GEMS - A Novel Technique for Ensemble Creation
The main contribution of this paper is to suggest a novel technique for automatic creation of accurate ensembles. The technique proposed, named GEMS, first trains a large number o...
Ulf Johansson, Tuve Löfström, Rikard K&o...
ICDM
2003
IEEE
109views Data Mining» more  ICDM 2003»
14 years 25 days ago
Comparing Pure Parallel Ensemble Creation Techniques Against Bagging
We experimentally evaluate randomization-based approaches to creating an ensemble of decision-tree classifiers. Unlike methods related to boosting, all of the eight approaches co...
Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfi...
LWA
2008
13 years 9 months ago
A Comparison of Techniques for Selecting and Combining Class Association Rules
Local pattern discovery, pattern set formation and global modeling may be viewed as three consecutive steps in a global modeling process. As each of these three steps have gained a...
Jan-Nikolas Sulzmann, Johannes Fürnkranz