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ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
14 years 3 months ago
Stability of Feature Selection Algorithms
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...
WABI
2007
Springer
109views Bioinformatics» more  WABI 2007»
14 years 4 months ago
Two Birds, One Stone: Selecting Functionally Informative Tag SNPs for Disease Association Studies
Selecting an informative subset of SNPs, generally referred to as tag SNPs, to genotype and analyze is considered to be an essential step toward effective disease association studi...
Phil Hyoun Lee, Hagit Shatkay
BIBE
2007
IEEE
136views Bioinformatics» more  BIBE 2007»
13 years 12 months ago
A Two-Stage Gene Selection Algorithm by Combining ReliefF and mRMR
Abstract—Gene expression data usually contains a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes ...
Yi Zhang, Chris H. Q. Ding, Tao Li
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 11 months ago
Cluster Ensemble Selection
This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
Xiaoli Z. Fern, Wei Lin
SAGT
2010
Springer
156views Game Theory» more  SAGT 2010»
13 years 8 months ago
Partition Equilibrium Always Exists in Resource Selection Games
Abstract. We consider the existence of Partition Equilibrium in Resource Selection Games. Super-strong equilibrium, where no subset of players has an incentive to change their stra...
Elliot Anshelevich, Bugra Caskurlu, Ameya Hate