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BMCBI
2007
157views more  BMCBI 2007»
15 years 6 months ago
Improving gene set analysis of microarray data by SAM-GS
Background: Gene-set analysis evaluates the expression of biological pathways, or a priori defined gene sets, rather than that of individual genes, in association with a binary ph...
Irina Dinu, John D. Potter, Thomas Mueller, Qi Liu...
ICASSP
2009
IEEE
16 years 1 months ago
Robust-SL0 for stable sparse representation in noisy settings
In the last few years, we have witnessed an explosion in applications of sparse representation, the majority of which share the need for finding sparse solutions of underdetermine...
Armin Eftekhari, Massoud Babaie-Zadeh, Christian J...
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
16 years 1 months ago
Set-Based Boosting for Instance-Level Transfer
—The success of transfer to improve learning on a target task is highly dependent on the selected source data. Instance-based transfer methods reuse data from the source tasks to...
Eric Eaton, Marie desJardins
DATE
2008
IEEE
110views Hardware» more  DATE 2008»
16 years 1 months ago
Run-time System for an Extensible Embedded Processor with Dynamic Instruction Set
One of the upcoming challenges in embedded processing is to incorporate an increasing amount of adaptivity in order to respond to the multifarious constraints induced by today’s...
Lars Bauer, Muhammad Shafique, Stephanie Kreutz, J...
SCAM
2008
IEEE
16 years 28 days ago
Automatic Determination of May/Must Set Usage in Data-Flow Analysis
Data-flow analysis is a common technique to gather program information for use in transformations such as register allocation, dead-code elimination, common subexpression elimina...
Andrew Stone, Michelle Strout, Shweta Behere