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» A Quantitative Study of Small Disjuncts
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KDD
2004
ACM
139views Data Mining» more  KDD 2004»
14 years 7 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
QEST
2007
IEEE
14 years 1 months ago
A business-oriented load dispatching framework for online auction sites
Online auction sites have unique workloads and user behavior characteristics that do not exist in other e-commerce sites. Earlier studies by the authors identified i) significan...
Daniel A. Menascé, Vasudeva Akula
ICS
1999
Tsinghua U.
13 years 11 months ago
The scalability of multigrain systems
Researchers have recently proposed coupling small- to mediumscale multiprocessors to build large-scale shared memory machines, known as multigrain shared memory systems. Multigrai...
Donald Yeung
BIOINFORMATICS
2006
92views more  BIOINFORMATICS 2006»
13 years 7 months ago
What should be expected from feature selection in small-sample settings
Motivation: High-throughput technologies for rapid measurement of vast numbers of biological variables offer the potential for highly discriminatory diagnosis and prognosis; howev...
Chao Sima, Edward R. Dougherty
TMI
2008
141views more  TMI 2008»
13 years 7 months ago
Fast Noise Reduction in Computed Tomography for Improved 3-D Visualization
Computed tomography (CT) has a trend towards higher resolution and higher noise. This development has increased the interest in anisotropic smoothing techniques for CT, which aim t...
Michiel Schaap, Arnold M. R. Schilham, Karel J. Zu...