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» Simulation Modeling and Optimization using ProModel
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CORR
2011
Springer
127views Education» more  CORR 2011»
14 years 9 months ago
Is a probabilistic modeling
— A new standpoint on financial time series, without the use of any mathematical model and of probabilistic tools, yields not only a rigorous approach of trends and volatility, ...
Michel Fliess, Cédric Join, Fréd&eac...
ICASSP
2009
IEEE
15 years 9 months ago
Jitter compensation in sampling via polynomial least squares estimation
Sampling error due to jitter, or noise in the sample times, affects the precision of analog-to-digital converters in a significant, nonlinear fashion. In this paper, a polynomial...
Daniel S. Weller, Vivek K. Goyal
CODES
2008
IEEE
15 years 4 months ago
Software optimization for MPSoC: a mpeg-2 decoder case study
Using traditional software profiling to optimize embedded software in an MPSoC design is not reliable. With multiple processors running concurrently and programs interacting, trad...
Eric Cheung, Harry Hsieh, Felice Balarin
ATMOS
2007
129views Optimization» more  ATMOS 2007»
15 years 3 months ago
Applied Railway Optimization in Production Planning at DSB S-tog - tasks, tools and challenges
Efficient public transportation is becoming increasingly vital for modern capitals. DSB S-tog a/s is the major supplier of rail traffic on the infrastructure of the city-rail netwo...
Jens Clausen
QRE
2008
140views more  QRE 2008»
15 years 1 months ago
Discrete mixtures of kernels for Kriging-based optimization
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
David Ginsbourger, Céline Helbert, Laurent ...