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» A new metric splitting criterion for decision trees
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CAIP
2009
Springer
114views Image Analysis» more  CAIP 2009»
13 years 11 months ago
Decision Trees Using the Minimum Entropy-of-Error Principle
Binary decision trees based on univariate splits have traditionally employed so-called impurity functions as a means of searching for the best node splits. Such functions use estim...
Joaquim Marques de Sá, João Gama, Ra...
DAWAK
2006
Springer
13 years 11 months ago
Mixed Decision Trees: An Evolutionary Approach
In the paper, a new evolutionary algorithm (EA) for mixed tree learning is proposed. In non-terminal nodes of a mixed decision tree different types of tests can be placed, ranging ...
Marek Kretowski, Marek Grzes
ICAISC
2004
Springer
14 years 1 months ago
An Evolutionary Algorithm for Oblique Decision Tree Induction
In the paper, a new evolutionary approach to induction of oblique decision trees is described. In each non-terminal node, the specialized evolutionary algorithm is applied to searc...
Marek Kretowski
IJCAI
1993
13 years 9 months ago
Induction of Oblique Decision Trees
This article describes a new system for induction of oblique decision trees. This system, OC1, combines deterministic hill-climbing with two forms of randomization to nd a good ob...
David G. Heath, Simon Kasif, Steven Salzberg
ICDM
2010
IEEE
154views Data Mining» more  ICDM 2010»
13 years 5 months ago
Discrimination Aware Decision Tree Learning
Abstract--Recently, the following discrimination aware classification problem was introduced: given a labeled dataset and an attribute , find a classifier with high predictive accu...
Faisal Kamiran, Toon Calders, Mykola Pechenizkiy