Enhancing the effectiveness of Ant Colony Decision Tree algorithms by co-learning-Reference-Cited by-同舟云学术

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Enhancing the effectiveness of Ant Colony Decision Tree algorithms by co-learning

Published:2015-05 Issue: Volume:30 Page:166-178
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Boryczka Urszula^ORCID,Kozak Jan

Publisher

Elsevier BV

Subject

Software

Reference41 articles.

1. Delegating classifiers;Ferri,2004

2. Ant colony decision trees – a new method for constructing decision trees based on ant colony optimization;Boryczka,2010

3. An adaptive discretization in the ACDT algorithm for continuous attributes;Boryczka,2011

4. Heterarchy in constructing decision trees – parallel ACDT;Boryczka;Trans. Comp. Collect. Intell.,2013

5. Dynamic version of the ACDT/ACDF algorithm for H-bond data set analysis;Kozak,2013

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