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» Building a Stochastic Dynamic Model of Application Use
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PE
2011
Springer
266views Optimization» more  PE 2011»
13 years 2 months ago
Lumping partially symmetrical stochastic models
Performance and dependability evaluation of complex systems by means of dynamic stochastic models (e.g. Markov chains) may be impaired by the combinatorial explosion of their stat...
Souheib Baarir, Marco Beccuti, Claude Dutheillet, ...
FLAIRS
2009
13 years 5 months ago
Dynamic Programming Approximations for Partially Observable Stochastic Games
Partially observable stochastic games (POSGs) provide a rich mathematical framework for planning under uncertainty by a group of agents. However, this modeling advantage comes wit...
Akshat Kumar, Shlomo Zilberstein
HLK
2003
IEEE
14 years 1 months ago
Interactive 3D Building Modeling Using a Hierarchical Representation
Modeling and visualization of city scenes is important for many applications including entertainment and urban mission planning. Models covering wide areas can be efficiently cons...
Sung Chun Lee, Ramakant Nevatia
ICEIS
2009
IEEE
14 years 2 months ago
A Service Composition Framework for Decision Making under Uncertainty
Proposed and developed is a service composition framework for decision-making under uncertainty, which is applicable to stochastic optimization of supply chains. Also developed is ...
Malak Al-Nory, Alexander Brodsky, Hadon Nash
LATA
2010
Springer
14 years 2 months ago
Extending Stochastic Context-Free Grammars for an Application in Bioinformatics
We extend stochastic context-free grammars such that the probability of applying a production can depend on the length of the subword that is generated from the application and sho...
Frank Weinberg, Markus E. Nebel