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» Approximate zero-variance simulation
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126
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NECO
1998
121views more  NECO 1998»
15 years 2 months ago
Nonlinear Time-Series Prediction with Missing and Noisy Data
We derive solutions for the problem of missing and noisy data in nonlinear timeseries prediction from a probabilistic point of view. We discuss different approximations to the so...
Volker Tresp, Reimar Hofmann
103
Voted
VLSI
2010
Springer
14 years 9 months ago
Linearity Analysis on a Series-Split Capacitor Array for High-Speed SAR ADCs
A novel Capacitor array structure for Successive Approximation Register (SAR) ADC is proposed. This circuit efficiently utilizes charge recycling to achieve high-speed of operation...
Yan Zhu, U. Fat Chio, He Gong Wei, Sai-Weng Sin, S...
82
Voted
WSC
2000
15 years 4 months ago
A practical approach to sample-path simulation optimization
We propose solving continuous parametric simulation optimizations using a deterministic nonlinear optimization algorithm and sample-path simulations. The optimization problem is w...
Michael C. Ferris, Todd S. Munson, Krung Sinapirom...
121
Voted
WSC
2008
15 years 5 months ago
Approximate dynamic programming: Lessons from the field
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
Warren B. Powell
157
Voted
VTC
2010
IEEE
167views Communications» more  VTC 2010»
15 years 14 days ago
The Impact of Fading on the Outage Probability in Cognitive Radio Networks
Abstract--This paper analyzes the outage probability in cognitive radio networks, based on the Poisson point process model of node spatial distribution and the standard propagation...
Yaobin Wen, Sergey Loyka, Abbas Yongaçoglu