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TSP
2010
14 years 10 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
BMCBI
2006
134views more  BMCBI 2006»
15 years 3 months ago
Application of machine learning in SNP discovery
Background: Single nucleotide polymorphisms (SNP) constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given ...
Lakshmi K. Matukumalli, John J. Grefenstette, Davi...
DAC
2009
ACM
16 years 4 months ago
Multicore parallel min-cost flow algorithm for CAD applications
Computational complexity has been the primary challenge of many VLSI CAD applications. The emerging multicore and manycore microprocessors have the potential to offer scalable perf...
Yinghai Lu, Hai Zhou, Li Shang, Xuan Zeng
MKM
2009
Springer
15 years 10 months ago
OpenMath in SCIEnce: SCSCP and POPCORN
In this short communication we want to give an overview of how OpenMath is used in the European project “SCIEnce” [12]. The main aim of this project is to allow unified commun...
Peter Horn, Dan Roozemond
139
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PPOPP
2010
ACM
15 years 10 months ago
Thread to strand binding of parallel network applications in massive multi-threaded systems
In processors with several levels of hardware resource sharing, like CMPs in which each core is an SMT, the scheduling process becomes more complex than in processors with a singl...
Petar Radojkovic, Vladimir Cakarevic, Javier Verd&...