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» Modeling Dependencies in Stochastic Simulation Inputs
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COLT
1992
Springer
14 years 1 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»
13 years 4 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
13 years 7 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
13 years 11 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»
13 years 9 months 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