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AUSAI
2006
Springer
15 years 1 months 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
15 years 10 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»
14 years 9 months ago
Classification by vertical and cutting multi-hyperplane decision tree induction
Marco Better, Fred Glover, Michele Samorani
ICIC
2009
Springer
14 years 7 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
14 years 11 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