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AUSAI
2006
Springer
14 years 8 days ago
Lazy Learning for Improving Ranking of Decision Trees
Decision tree-based probability estimation has received great attention because accurate probability estimation can possibly improve classification accuracy and probability-based r...
Han Liang, Yuhong Yan
ICML
2003
IEEE
14 years 9 months ago
Boosting Lazy Decision Trees
This paper explores the problem of how to construct lazy decision tree ensembles. We present and empirically evaluate a relevancebased boosting-style algorithm that builds a lazy ...
Xiaoli Zhang Fern, Carla E. Brodley
DSS
2010
67views more  DSS 2010»
13 years 8 months ago
Classification by vertical and cutting multi-hyperplane decision tree induction
Marco Better, Fred Glover, Michele Samorani
ICIC
2009
Springer
13 years 6 months ago
Towards a Better Understanding of Random Forests through the Study of Strength and Correlation
In this paper we present a study on the Random Forest (RF) family of ensemble methods. From our point of view, a "classical" RF induction process presents two main drawba...
Simon Bernard, Laurent Heutte, Sébastien Ad...
WSC
1997
13 years 10 months ago
It is a Far, Far Better Mean I Find...
An important problem often faced by simulation analysts is that of choosing (or selecting) one of several potential system designs. This can be accomplished by comparing output fr...
Susan M. Sanchez