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» Performance modeling using Monte Carlo simulation
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99
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WSC
1998
15 years 4 months ago
A Parametric Version of Jackknife-after-Bootstrap
In this paper, we investigate the problem of deriving precision estimates for bootstrap quantities within parametric families. Efron's [1992] jackknife-after-bootstrap is a s...
Jin Wang
152
Voted
MMB
2010
Springer
194views Communications» more  MMB 2010»
15 years 8 months ago
Searching for Tight Performance Bounds in Feed-Forward Networks
Abstract. Computing tight performance bounds in feed-forward networks under general assumptions about arrival and server models has turned out to be a challenging problem. Recently...
Andreas Kiefer, Nicos Gollan, Jens B. Schmitt
94
Voted
DAC
2009
ACM
15 years 10 months ago
Yield-driven iterative robust circuit optimization algorithm
This paper proposes an equation-based multi-scenario iterative robust optimization methodology for analog/mixed-signal circuits. We show that due to local circuit performance mono...
Yan Li, Vladimir Stojanovic
174
Voted
MA
2011
Springer
285views Communications» more  MA 2011»
14 years 10 months ago
Dual divergence estimators and tests: Robustness results
The class of dual φ-divergence estimators (introduced in Broniatowski and Keziou (2009) [6]) is explored with respect to robustness through the influence function approach. For ...
Aida Toma, Michel Broniatowski
144
Voted
ICMCS
2007
IEEE
191views Multimedia» more  ICMCS 2007»
15 years 9 months ago
Variable Number of "Informative" Particles for Object Tracking
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...
Yu Huang, Joan Llach