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» Modeling Dependencies in Stochastic Simulation Inputs
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HASE
2007
IEEE
14 years 3 months ago
Simulation Models and Implementation of a Simulator for the Performability Analysis of Electric Power Systems Considering Interd
Electric Power Systems (EPS) become more and more critical for our society, since they provide vital services for the human activities. At the same time, obtaining dependable beha...
Francesco Romani, Silvano Chiaradonna, Felicita Di...
QEST
2010
IEEE
13 years 7 months ago
On the Theory of Stochastic Processors
Traditional architecture design approaches hide hardware uncertainties from the software stack through overdesign, which is often expensive in terms of power consumption. The recen...
Parasara Sridhar Duggirala, Sayan Mitra, Rakesh Ku...
NIPS
1994
13 years 11 months ago
A Non-linear Information Maximisation Algorithm that Performs Blind Separation
A new learning algorithmis derived which performs online stochastic gradient ascent in the mutual informationbetween outputs and inputs of a network. In the absence of a priori kn...
Anthony J. Bell, Terrence J. Sejnowski
IOR
2006
192views more  IOR 2006»
13 years 9 months ago
Exact Simulation of Stochastic Volatility and Other Affine Jump Diffusion Processes
The stochastic differential equations for affine jump diffusion models do not yield exact solutions that can be directly simulated. Discretization methods can be used for simulati...
Mark Broadie, Özgür Kaya
BMCBI
2007
202views more  BMCBI 2007»
13 years 9 months ago
ProtNet: a tool for stochastic simulations of protein interaction networks dynamics
Background: Protein interactions support cell organization and mediate its response to any specific stimulus. Recent technological advances have produced large data-sets that aim ...
Massimo Bernaschi, Filippo Castiglione, Alessandra...