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BMCBI
2006
122views more  BMCBI 2006»
15 years 6 months ago
A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets
Background: Gene selection is an important step when building predictors of disease state based on gene expression data. Gene selection generally improves performance and identifi...
Carmen Lai, Marcel J. T. Reinders, Laura J. van't ...
JMIV
2006
176views more  JMIV 2006»
15 years 6 months ago
Centroidal Voronoi Tessellation Algorithms for Image Compression, Segmentation, and Multichannel Restoration
Centroidal Voronoi tessellations (CVT's) are special Voronoi tessellations for which the generators of the tessellation are also the centers of mass (or means) of the Voronoi ...
Qiang Du, Max Gunzburger, Lili Ju, Xiaoqiang Wang
JMLR
2006
156views more  JMLR 2006»
15 years 6 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...
SPE
2008
108views more  SPE 2008»
15 years 6 months ago
Effective asymmetric XML compression
The innate verbosity of the Extensible Markup Language remains one of its main weaknesses, especially when large XML documents are concerned. This problem can be solved with the a...
Przemyslaw Skibinski, Szymon Grabowski, Jakub Swac...
TKDE
2008
114views more  TKDE 2008»
15 years 6 months ago
Neural-Based Learning Classifier Systems
UCS is a supervised learning classifier system that was introduced in 2003 for classification in data mining tasks. The representation of a rule in UCS as a univariate classificati...
Hai Huong Dam, Hussein A. Abbass, Chris Lokan, Xin...