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146
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JCNS
2010
15 years 4 months ago
2010
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
193
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ICST
2010
IEEE
15 years 4 months ago
2010
IEEE
A Feature Model (FM) is a compact representation of all the products of a software product line. The automated extraction of information from FMs is a thriving research topic invo...
805
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Lecture Notes
I have been designing and building applications, including the databases used by those applications, for several decades now. I have seen similar problems approached by different d...
173
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SIAMSC
2008
15 years 6 months ago
2008
Model order reduction (MOR) is common in simulation, control and optimization of complex dynamical systems arising in modeling of physical processes and in the spatial discretizati...
172
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P2P
2009
IEEE
16 years 1 months ago
2009
IEEE
—ModelNet is a network emulator designed for repeatable, large-scale experimentation with real networked systems. This talk introduces the ideas behind ModelNet that have made it...