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...
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 ...
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, ...
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...
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...