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» Performance modeling using Monte Carlo simulation
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UAI
1996
15 years 4 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
109
Voted
WSC
2004
15 years 4 months ago
An Importance Sampling Method for Portfolios of Credit Risky Assets
The distribution of possible future losses for a portfolio of credit risky corporate assets, such as bonds or loans, shows strongly asymmetric behavior and a fat tail as the conse...
William J. Morokoff
124
Voted
CORR
2010
Springer
135views Education» more  CORR 2010»
15 years 3 months ago
A stochastic analysis of greedy routing in a spatially-dependent sensor network
For a sensor network, as tractable spatially-dependent node deployment model is presented with the property that the density is inversely proportional to the sink distance. A stoc...
H. Paul Keeler
158
Voted
TVLSI
2008
150views more  TVLSI 2008»
15 years 2 months ago
Data Memory Subsystem Resilient to Process Variations
As technology scales, more sophisticated fabrication processes cause variations in many different parameters in the device. These variations could severely affect the performance o...
M. Bennaser, Yao Guo, Csaba Andras Moritz
137
Voted
SCFBM
2008
129views more  SCFBM 2008»
15 years 2 months ago
Faunus: An object oriented framework for molecular simulation
Background: We present a C++ class library for Monte Carlo simulation of molecular systems, including proteins in solution. The design is generic and highly modular, enabling mult...
Mikael Lund, Martin Trulsson, Björn Persson