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ISMB
1993
13 years 8 months ago
Identification of Localized and Distributed Bottlenecks in Metabolic Pathways
The usual thermodynamicevaluation, based solely on the Standard Gibbs Energyof reaction, does not take into account the permissible ranges of concentrations of metabolites, and it...
Michael L. Mavrovouniotis
ICA
2010
Springer
13 years 8 months ago
Binary Sparse Coding
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
Marc Henniges, Gervasio Puertas, Jörg Bornsch...
EUROPAR
2005
Springer
14 years 27 days ago
Automatic Tuning of PDGEMM Towards Optimal Performance
Sophisticated parallel matrix multiplication algorithms like PDGEMM exhibit a complex structure and can be controlled by a large set of parameters including blocking factors and bl...
Sascha Hunold, Thomas Rauber
MOBIHOC
2007
ACM
14 years 7 months ago
Distributed opportunistic scheduling for ad-hoc communications: an optimal stopping approach
We consider distributed opportunistic scheduling (DOS) in wireless ad-hoc networks, where many links contend for the same channel using random access. In such networks, distribute...
Dong Zheng, Weiyan Ge, Junshan Zhang
SDM
2012
SIAM
216views Data Mining» more  SDM 2012»
11 years 9 months ago
Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
:  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
George Forman