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» On Probabilistic Alternating Simulations
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NECO
1998
121views more  NECO 1998»
15 years 3 months ago
Nonlinear Time-Series Prediction with Missing and Noisy Data
We derive solutions for the problem of missing and noisy data in nonlinear timeseries prediction from a probabilistic point of view. We discuss different approximations to the so...
Volker Tresp, Reimar Hofmann
147
Voted
QEST
2010
IEEE
15 years 2 months ago
DTMC Model Checking by SCC Reduction
Discrete-Time Markov Chains (DTMCs) are a widely-used formalism to model probabilistic systems. On the one hand, available tools like PRISM or MRMC offer efficient model checking a...
Erika Ábrahám, Nils Jansen, Ralf Wim...
ICC
2011
IEEE
272views Communications» more  ICC 2011»
14 years 3 months ago
Dynamic Anycast Routing and Wavelength Assignment in WDM Networks Using Ant Colony Optimization (ACO)
—Ant colony optimization (ACO) is a probabilistic technique used for solving complex computational problems, such as finding optimal routes in networks. It has been proved to pe...
Kavitha Bhaskaran, Joan Triay, Vinod Vokkarane
SAMOS
2005
Springer
15 years 9 months ago
A Case for Visualization-Integrated System-Level Design Space Exploration
Design space exploration plays an essential role in the system-level design of embedded systems. It is imperative therefore to have efficient and effective exploration tools in th...
Andy D. Pimentel
DATE
2010
IEEE
171views Hardware» more  DATE 2010»
15 years 9 months ago
Digital statistical analysis using VHDL
—Variations of process parameters have an important impact on reliability and yield in deep sub micron IC technologies. One methodology to estimate the influence of these effects...
Manfred Dietrich, Uwe Eichler, Joachim Haase