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» Approximate zero-variance simulation
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TNN
1998
111views more  TNN 1998»
15 years 2 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos
137
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CORR
2010
Springer
162views Education» more  CORR 2010»
15 years 1 months ago
Networked Computing in Wireless Sensor Networks for Structural Health Monitoring
Abstract—This paper studies the problem of distributed computation over a network of wireless sensors. While this problem applies to many emerging applications, to keep our discu...
Apoorva Jindal, Mingyan Liu
138
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TVCG
2011
175views more  TVCG 2011»
14 years 9 months ago
Parallel Iteration to the Radiative Transport in Inhomogeneous Media with Bootstrapping
—This paper presents a fast parallel method to solve the radiative transport equation in inhomogeneous participating media. We apply a novel approximation scheme to find a good ...
László Szirmay-Kalos, Gabor Liktor, ...
141
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JMLR
2010
157views more  JMLR 2010»
14 years 9 months ago
Why are DBNs sparse?
Real stochastic processes operating in continuous time can be modeled by sets of stochastic differential equations. On the other hand, several popular model families, including hi...
Shaunak Chatterjee, Stuart Russell
102
Voted
EVOW
1999
Springer
15 years 7 months ago
Approximate Equivalence Verification for Protocol Interface Implementation via Genetic Algorithms
This paper describes a new approximate approach for checking the correctness of the implementation of a protocol interface, comparing its lowlevel implementation with its high-leve...
Fulvio Corno, Matteo Sonza Reorda, Giovanni Squill...