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CSDA
2004
105views more  CSDA 2004»
15 years 3 months ago
Computational aspects of algorithms for variable selection in the context of principal components
Variable selection consists in identifying a k-subset of a set of original variables that is optimal for a given criterion of adequate approximation to the whole data set. Several...
Jorge Cadima, J. Orestes Cerdeira, Manuel Minhoto
CCGRID
2006
IEEE
15 years 10 months ago
Component-Based Modeling, Analysis and Animation
Component-based software construction is widely used in a variety of applications, from embedded environments to grid computing. However, errors in these applications and systems ...
Jeff Kramer
PC
2000
95views Management» more  PC 2000»
15 years 3 months ago
Massively parallel computing using commodity components
The Computational Plant (Cplant) project at Sandia National Laboratories is developing a large-scale, massively parallel computing resource from a cluster of commodity computing a...
Ron Brightwell, Lee Ann Fisk, David S. Greenberg, ...
NECO
1998
151views more  NECO 1998»
15 years 3 months ago
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
We describe a new method for performing a nonlinear form of Principal Component Analysis. By the use of integral operator kernel functions, we can e ciently compute principal comp...
Bernhard Schölkopf, Alex J. Smola, Klaus-Robe...
BMCBI
2008
135views more  BMCBI 2008»
15 years 3 months ago
Knowledge-guided multi-scale independent component analysis for biomarker identification
Background: Many statistical methods have been proposed to identify disease biomarkers from gene expression profiles. However, from gene expression profile data alone, statistical...
Li Chen, Jianhua Xuan, Chen Wang, Ie-Ming Shih, Yu...