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162
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TKDE
2012
192views Formal Methods» more  TKDE 2012»
13 years 5 months ago
Discriminative Feature Selection by Nonparametric Bayes Error Minimization
Feature selection is fundamental to knowledge discovery from massive amount of high-dimensional data. In an effort to establish theoretical justification for feature selection al...
Shuang-Hong Yang, Bao-Gang Hu
145
Voted
AAAI
2010
15 years 4 months ago
Efficient Spectral Feature Selection with Minimum Redundancy
Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and uns...
Zheng Zhao, Lei Wang, Huan Liu
111
Voted
CSB
2004
IEEE
106views Bioinformatics» more  CSB 2004»
15 years 7 months ago
A Theoretical Analysis of Gene Selection
A great deal of recent research has focused on the challenging task of selecting differentially expressed genes from microarray data (`gene selection'). Numerous gene selecti...
Sach Mukherjee, Stephen J. Roberts
CDC
2010
IEEE
128views Control Systems» more  CDC 2010»
14 years 10 months ago
Greedy sensor selection: Leveraging submodularity
ACT We consider the problem of sensor selection in resource constrained sensor networks. The fusion center selects a subset of k sensors from an available pool of m sensors accordi...
Manohar Shamaiah, Siddhartha Banerjee, Haris Vikal...
212
Voted
CIARP
2011
Springer
14 years 3 months ago
A Minority Class Feature Selection Method
Abstract. In many classification problems, and in particular in medical domains, it is common to have an unbalanced class distribution. This pose problems to classifiers as they ...
German Cuaya, Angélica Muñoz-Mel&eac...