Sciweavers

314 search results - page 17 / 63
» Optimizing efficiency of perturbative Monte Carlo method
Sort
View
WSC
2008
14 years 12 months ago
A particle filtering framework for randomized optimization algorithms
We propose a framework for optimization problems based on particle filtering (also called Sequential Monte Carlo method). This framework unifies and provides new insight into rand...
Enlu Zhou, Michael C. Fu, Steven I. Marcus
ICC
2007
IEEE
160views Communications» more  ICC 2007»
15 years 4 months ago
Efficient Coverage Planning for Grid-Based Wireless Sensor Networks
- In this paper we study efficient triangular grid-based sensor deployment planning for coverage when sensor placements are perturbed by random errors around their corresponding gr...
Glen Takahara, Kenan Xu, Hossam S. Hassanein
TASLP
2002
109views more  TASLP 2002»
14 years 9 months ago
Particle methods for Bayesian modeling and enhancement of speech signals
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, S...
66
Voted
WSC
2000
14 years 11 months ago
Variance reduction techniques for value-at-risk with heavy-tailed risk factors
The calculation of value-at-risk (VAR) for large portfolios of complex instruments is among the most demanding and widespread computational challenges facing the financial industr...
Paul Glasserman, Philip Heidelberger, Perwez Shaha...
DCOSS
2011
Springer
13 years 9 months ago
A distributed information fusion method for localization based on Pareto optimization
—To overcome the limitations of specific positioning techniques for mobile wireless nodes and achieve a high accuracy, the fusion of heterogeneous sensor information is an appea...
Alessio De Angelis, Carlo Fischione