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» Using Machine Learning to Focus Iterative Optimization
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SC
2003
ACM
15 years 7 months ago
GridSAT: A Chaff-based Distributed SAT Solver for the Grid
We present GridSAT, a parallel and complete satisfiability solver designed to solve non-trivial SAT problem instances using a large number of widely distributed and heterogeneous...
Wahid Chrabakh, Richard Wolski
BMCBI
2008
170views more  BMCBI 2008»
15 years 2 months ago
A genetic approach for building different alphabets for peptide and protein classification
Background: In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task i...
Loris Nanni, Alessandra Lumini
119
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IPPS
2008
IEEE
15 years 8 months ago
Overcoming scaling challenges in biomolecular simulations across multiple platforms
NAMD† is a portable parallel application for biomolecular simulations. NAMD pioneered the use of hybrid spatial and force decomposition, a technique now used by most scalable pr...
Abhinav Bhatele, Sameer Kumar, Chao Mei, James C. ...
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
15 years 3 months ago
Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene e...
Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvri...
ORL
2006
105views more  ORL 2006»
15 years 2 months ago
Inventory placement in acyclic supply chain networks
The strategic safety stock placement problem is a constrained separable concave minimization problem and so is solvable, in principle, as a sequence of mixed-integer programming p...
Thomas L. Magnanti, Zuo-Jun Max Shen, Jia Shu, Dav...