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» Modeling Dependencies in Stochastic Simulation Inputs
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COLT
1992
Springer
15 years 5 months ago
Language Learning from Stochastic Input
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
Shyam Kapur, Gianfranco Bilardi
SIAMREV
2010
132views more  SIAMREV 2010»
14 years 8 months ago
A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data
In this paper we propose and analyze a Stochastic-Collocation method to solve elliptic Partial Differential Equations with random coefficients and forcing terms (input data of the...
Ivo Babuska, Fabio Nobile, Raúl Tempone
NMA
2010
14 years 11 months ago
Modeling of the SET and RESET Process in Bipolar Resistive Oxide-Based Memory Using Monte Carlo Simulations
A stochastic model of the resistive switching mechanism in bipolar oxide-based resistive random access memory (RRAM) is presented. The distribution of electron occupation probabili...
Alexander Makarov, Viktor Sverdlov, Siegfried Selb...
WSC
1997
15 years 2 months ago
A Stochastic Disk I/O Simulation Technique
In this paper, we describe a technique to construct accurate stochastic simulation models from acquired trace data. The resulting simulation models accept input trace data and ret...
Niki C. Thornock, Xiao-Hong Tu, J. Kelly Flanagan
JCNS
1998
134views more  JCNS 1998»
15 years 25 days ago
Analytical and Simulation Results for Stochastic Fitzhugh-Nagumo Neurons and Neural Networks
An analytical approach is presented for determining the response of a neuron or of the activity in a network of connected neurons, represented by systems of nonlinear ordinary stoc...
Henry C. Tuckwell, Roger Rodriguez