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ECML
2005
Springer
14 years 3 months ago
Model Selection in Omnivariate Decision Trees
We propose an omnivariate decision tree architecture which contains univariate, multivariate linear or nonlinear nodes, matching the complexity of the node to the complexity of the...
Olcay Taner Yildiz, Ethem Alpaydin
ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
14 years 3 months ago
Postprocessing Decision Trees to Extract Actionable Knowledge
Most data mining algorithms and tools stop at discovered customer models, producing distribution information on customer profiles. Such techniques, when applied to industrial pro...
Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen
CEC
2010
IEEE
13 years 11 months ago
Improving GP classification performance by injection of decision trees
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
Rikard König, Ulf Johansson, Tuve Löfstr...
BICOB
2010
Springer
13 years 8 months ago
Iterative Split Adjustment for Building Multilabel Decision Trees
A decision tree induction method for multilabel classification tasks (IS-MLT) is presented which uses an iterative approach for determining the best split at each node. The propo...
Aiyesha Ma, Ishwar K. Sethi
ECML
2007
Springer
14 years 1 months ago
Ensembles of Multi-Objective Decision Trees
Abstract. Ensemble methods are able to improve the predictive performance of many base classifiers. Up till now, they have been applied to classifiers that predict a single target ...
Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzerosk...