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WSC
1998
15 years 6 months ago
Simulation Optimization Research and Development
Simulation optimization is rapidly becoming a mainstream tool for simulation practitioners. Simulation optimization is the practice of linking an optimization method with a simula...
Royce Bowden, John D. Hall
UAI
2007
15 years 6 months ago
"I Can Name that Bayesian Network in Two Matrixes!"
The traditional approach to building Bayesian networks is to build the graphical structure using a graphical editor and then add probabilities using a separate spreadsheet for eac...
Russell Almond
CCE
2006
15 years 5 months ago
State-of-the-art review of optimization methods for short-term scheduling of batch processes
There has been significant progress in the area of short-term scheduling of batch processes, including the solution of industrial-sized problems, in the last 20 years. The main go...
Carlos A. Méndez, Jaime Cerdá, Ignac...
CSDA
2006
169views more  CSDA 2006»
15 years 5 months ago
Generalized structured additive regression based on Bayesian P-splines
Generalized additive models (GAM) for modelling nonlinear effects of continuous covariates are now well established tools for the applied statistician. In this paper we develop Ba...
Andreas Brezger, Stefan Lang
PE
2002
Springer
176views Optimization» more  PE 2002»
15 years 4 months ago
Effective bandwidth estimation and testing for Markov sources
This work addresses the resource sharing problem in broadband communication networks that can guarantee some quality of service (QoS), and develops some results about data source ...
Juan Pechiar, Gonzalo Perera, María Simon
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