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» A Review of Simulation Optimization Techniques
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JCNS
2010
104views more  JCNS 2010»
13 years 8 months ago
A new look at state-space models for neural data
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
MSWIM
2004
ACM
14 years 3 months ago
Scalable simulation of large-scale wireless networks with bounded inaccuracies
Discrete event network simulators have emerged as popular tools for verification and performance evaluation for various wireless networks. Nevertheless, the desire to model such ...
Zhengrong Ji, Junlan Zhou, Mineo Takai, Rajive Bag...
TCAD
2010
164views more  TCAD 2010»
13 years 4 months ago
Advanced Variance Reduction and Sampling Techniques for Efficient Statistical Timing Analysis
The Monte-Carlo (MC) technique is a traditional solution for a reliable statistical analysis, and in contrast to probabilistic methods, it can account for any complicate model. How...
Javid Jaffari, Mohab Anis
ESCIENCE
2007
IEEE
14 years 4 months ago
Intelligent Selection of Fault Tolerance Techniques on the Grid
The emergence of computational grids has lead to an increased reliance on task schedulers that can guarantee the completion of tasks that are executed on unreliable systems. There...
Daniel C. Vanderster, Nikitas J. Dimopoulos, Randa...
SIGECOM
2004
ACM
120views ECommerce» more  SIGECOM 2004»
14 years 3 months ago
Robust incentive techniques for peer-to-peer networks
Lack of cooperation (free riding) is one of the key problems that confronts today’s P2P systems. What makes this problem particularly difficult is the unique set of challenges ...
Michal Feldman, Kevin Lai, Ion Stoica, John Chuang