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ICML
2003
IEEE
16 years 5 months ago
Online Feature Selection using Grafting
In the standard feature selection problem, we are given a fixed set of candidate features for use in a learning problem, and must select a subset that will be used to train a mode...
Simon Perkins, James Theiler
136
Voted
ICDM
2006
IEEE
129views Data Mining» more  ICDM 2006»
15 years 11 months ago
Getting the Most Out of Ensemble Selection
We investigate four previously unexplored aspects of ensemble selection, a procedure for building ensembles of classifiers. First we test whether adjusting model predictions to p...
Rich Caruana, Art Munson, Alexandru Niculescu-Mizi...
158
Voted
AUSAI
2004
Springer
15 years 10 months ago
A Learning-Based Algorithm Selection Meta-reasoner for the Real-Time MPE Problem
Abstract. The algorithm selection problem aims to select the best algorithm for an input problem instance according to some characteristics of the instance. This paper presents a l...
Haipeng Guo, William H. Hsu
137
Voted
CASDMKM
2004
Springer
131views Data Mining» more  CASDMKM 2004»
15 years 10 months ago
XML-Based Schemes for Business Project Portfolio Selection
Abstract. Many methodologies have been introduced to deal with project portfolio selection problem including some techniques that help to evaluate individual projects, or to select...
Jichang Dong, Kin Keung Lai, Shouyang Wang
WSC
2007
15 years 7 months ago
Indifference-zone subset selection procedures: using sample means to improve efficiency
Two-stage selection procedures have been widely studied and applied in determining the required sample size (i.e., the number of replications or batches) for selecting the best of...
E. Jack Chen