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SAC
2004
ACM
14 years 1 months ago
A comparison of randomized and evolutionary approaches for optimizing base station site selection
It is increasingly important to optimally select base stations in the design of cellular networks, as customers demand cheaper and better wireless services. From a set of potentia...
Larry Raisanen, Roger M. Whitaker, Steve Hurley
SLSFS
2005
Springer
14 years 1 months ago
Random Projection, Margins, Kernels, and Feature-Selection
Random projection is a simple technique that has had a number of applications in algorithm design. In the context of machine learning, it can provide insight into questions such as...
Avrim Blum
ICPR
2008
IEEE
14 years 8 months ago
The implication of data diversity for a classifier-free ensemble selection in random subspaces
Ensemble of Classifiers (EoC) has been shown effective in improving the performance of single classifiers by combining their outputs. By using diverse data subsets to train classi...
Albert Hung-Ren Ko, Robert Sabourin, Luiz E. Soare...
ICISP
2010
Springer
14 years 11 days ago
Classification of High-Resolution NMR Spectra Based on Complex Wavelet Domain Feature Selection and Kernel-Induced Random Forest
High-resolution nuclear magnetic resonance (NMR) spectra contain important biomarkers that have potentials for early diagnosis of disease and subsequent monitoring of its progressi...
Guangzhe Fan, Zhou Wang, Seoung Bum Kim, Chivalai ...
APPROX
2007
Springer
77views Algorithms» more  APPROX 2007»
14 years 1 months ago
High Entropy Random Selection Protocols
We study the two party problem of randomly selecting a string among all the strings of length n. We want the protocol to have the property that the output distribution has high en...
Harry Buhrman, Matthias Christandl, Michal Kouck&y...