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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»
15 years 9 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
15 years 9 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
15 years 11 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
15 years 7 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
140
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ICDM
2010
IEEE
154views Data Mining» more  ICDM 2010»
15 years 4 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