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WSC
2008
13 years 9 months ago
Stochastic kriging for simulation metamodeling
We extend the basic theory of kriging, as applied to the design and analysis of deterministic computer experiments, to the stochastic simulation setting. Our goal is to provide fl...
Bruce E. Ankenman, Barry L. Nelson, Jeremy Staum
EOR
2007
102views more  EOR 2007»
13 years 7 months ago
Sub-stochastic matrix analysis for bounds computation - Theoretical results
Performance evaluation of complex systems is a critical issue and bounds computation provides confidence about service quality, reliability, etc. of such systems. The stochastic ...
Serge Haddad, Patrice Moreaux
ICML
2009
IEEE
14 years 2 months ago
Grammatical inference as a principal component analysis problem
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
Raphaël Bailly, François Denis, Liva R...
ICASSP
2011
IEEE
12 years 11 months ago
Stochastic analysis of two-tier networks: Effect of spectrum allocation
Recently, there is an increasing interest in the deployment of femto access points (FAPs), which are short-range low-power home basestations, over a macro cellular network to impr...
Wang Chi Cheung, Tony Q. S. Quek, Marios Kountouri...
TSE
2002
107views more  TSE 2002»
13 years 7 months ago
Fluid Stochastic Petri Nets Augmented with Flush-Out Arcs: A Transient Analysis Technique
Fluid (or Hybrid) Petri Nets with flush-out arcs are Petri net based models with two classes of places: discrete places that carry a natural number of distinct objects (tokens), a...
Marco Gribaudo, András Horváth