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» Dependence Modeling for Stochastic Simulation
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WSC
2000
15 years 5 months ago
Model abstraction for discrete event systems using neural networks and sensitivity information
STRACTION FOR DISCRETE EVENT SYSTEMS USING NEURAL NETWORKS AND SENSITIVITY INFORMATION Christos G. Panayiotou Christos G. Cassandras Department of Manufacturing Engineering Boston ...
Christos G. Panayiotou, Christos G. Cassandras, We...
ICASSP
2009
IEEE
15 years 11 months ago
A hybrid method for deconvolution of Bernoulli-Gaussian processes
We investigate a hybrid method which improves the quality of state inference and parameter estimation in blind deconvolution of a sparse source modeled by a Bernoulli-Gaussian pro...
Sinan Yildirim, Ali Taylan Cemgil, Aysin Ertü...
WSC
2007
15 years 6 months ago
Approximations and control variates for pricing portfolio credit derivatives
Portfolio credit derivatives that depend on default correlation are increasingly widespread in the credit market. Valuing such products often entails Monte Carlo simulation. Howev...
Zhiyong Chen, Paul Glasserman
172
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CASES
2007
ACM
15 years 8 months ago
A fast and generic hybrid simulation approach using C virtual machine
Instruction Set Simulators (ISSes) are important tools for cross-platform software development. The simulation speed is a major concern and many approaches have been proposed to i...
Lei Gao, Stefan Kraemer, Rainer Leupers, Gerd Asch...
CORR
2010
Springer
98views Education» more  CORR 2010»
15 years 1 months ago
Coding for High-Density Recording on a 1-D Granular Magnetic Medium
In terabit-density magnetic recording, several bits of data can be replaced by the values of their neighbors in the storage medium. As a result, errors in the medium are dependent ...
Arya Mazumdar, Alexander Barg, Navin Kashyap