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» The Measurable Space of Stochastic Processes
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SAGA
2009
Springer
14 years 2 months ago
Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies
We propose a generic method for obtaining quickly good upper bounds on the minimal value of a multistage stochastic program. The method is based on the simulation of a feasible dec...
Boris Defourny, Damien Ernst, Louis Wehenkel
CIE
2009
Springer
14 years 2 months ago
Computable Exchangeable Sequences Have Computable de Finetti Measures
Abstract. We prove a uniformly computable version of de Finetti’s theorem on exchangeable sequences of real random variables. In the process, we develop machinery for computably ...
Cameron E. Freer, Daniel M. Roy
IGARSS
2009
13 years 5 months ago
Estimation and Segmentation in Non-Gaussian POLSAR Clutter by SIRV Stochastic Processes
In the context of non-Gaussian polarimetric clutter models, this paper presents an application of the recent advances in the field of Spherically Invariant Random Vectors (SIRV) m...
Gabriel Vasile, Jean Philippe Ovarlez, Fréd...
CIBCB
2007
IEEE
14 years 1 months ago
Modeling protein-DNA binding time in Stochastic Discrete Event Simulation of Biological Processes
Abstract— This paper presents a parametric model to estimate the DNA-protein binding time using the DNA and protein structures and details of the binding site. To understand the ...
Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. ...
DATE
2005
IEEE
115views Hardware» more  DATE 2005»
14 years 1 months ago
Stochastic Power Grid Analysis Considering Process Variations
In this paper, we investigate the impact of interconnect and device process variations on voltage fluctuations in power grids. We consider random variations in the power grid’s...
Praveen Ghanta, Sarma B. K. Vrudhula, Rajendran Pa...