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» Parallelizing Feature Selection
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CSDA
2007
152views more  CSDA 2007»
15 years 3 months ago
Robust variable selection using least angle regression and elemental set sampling
In this paper we address the problem of selecting variables or features in a regression model in the presence of both additive (vertical) and leverage outliers. Since variable sel...
Lauren McCann, Roy E. Welsch
108
Voted
TMI
2008
85views more  TMI 2008»
15 years 3 months ago
Sparsity-Enforced Slice-Selective MRI RF Excitation Pulse Design
We introduce a novel algorithm for the design of fast slice-selective spatially-tailored magnetic resonance imaging (MRI) excitation pulses. This method, based on sparse approximat...
Adam C. Zelinski, Lawrence L. Wald, K. Setsompop, ...
BMCBI
2006
200views more  BMCBI 2006»
15 years 3 months ago
Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data
Background: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, clas...
Ian B. Jeffery, Desmond G. Higgins, Aedín C...
IPPS
2000
IEEE
15 years 8 months ago
PDRS: A Performance Data Representation System
We present the design and development of a Performance Data Representation System (PDRS) for scalable parallel computing. PDRS provides decision support that helps users find the r...
Xian-He Sun, Xingfu Wu
FASE
2010
Springer
15 years 1 months ago
A Verifiable Modeling Approach to Configurable Role-Based Access Control
Role-based access control (RBAC) is a popular access control model for enterprise systems due to its economic benefit and scalability. There are many RBAC features available, each ...
Dae-Kyoo Kim, Lunjin Lu, Sangsig Kim