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» Simulation Input Updating Using Bayesian Techniques
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MP
2002
195views more  MP 2002»
13 years 8 months ago
Nonlinear rescaling vs. smoothing technique in convex optimization
We introduce an alternative to the smoothing technique approach for constrained optimization. As it turns out for any given smoothing function there exists a modification with part...
Roman A. Polyak
BMCBI
2006
239views more  BMCBI 2006»
13 years 8 months ago
Applying dynamic Bayesian networks to perturbed gene expression data
Background: A central goal of molecular biology is to understand the regulatory mechanisms of gene transcription and protein synthesis. Because of their solid basis in statistics,...
Norbert Dojer, Anna Gambin, Andrzej Mizera, Bartek...
ICASSP
2010
IEEE
13 years 8 months ago
Sparse Bayesian step-filtering for high-throughput analysis of molecular machine dynamics
Nature has evolved many molecular machines such as kinesin, myosin, and the rotary flagellar motor powered by an ion current from the mitochondria. Direct observation of the step-...
Max A. Little, Nick S. Jones
TACAS
1998
Springer
98views Algorithms» more  TACAS 1998»
14 years 20 days ago
Efficient Modeling of Memory Arrays in Symbolic Ternary Simulation
This paper enables symbolic ternary simulation of systems with large embedded memories. Each memory array is replaced with a behavioral model, where the number of symbolic variable...
Miroslav N. Velev, Randal E. Bryant
PAMI
2007
196views more  PAMI 2007»
13 years 8 months ago
Bayesian Analysis of Lidar Signals with Multiple Returns
—Time-Correlated Single Photon Counting and Burst Illumination Laser data can be used for range profiling and target classification. In general, the problem is to analyze the res...
Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J...