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» Minimization of Large State Spaces using Symbolic Branching ...
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AAAI
1997
15 years 1 months ago
Model Minimization in Markov Decision Processes
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
Thomas Dean, Robert Givan
CAV
2010
Springer
194views Hardware» more  CAV 2010»
15 years 3 months ago
LTSmin: Distributed and Symbolic Reachability
ions of ODE models (MAPLE, GNA). On the algorithmic side (Sec. 3.2), it supports two main streams in high-performance model checking: reachability analysis based on BDDs (symbolic)...
Stefan Blom, Jaco van de Pol, Michael Weber
ICCAD
2005
IEEE
90views Hardware» more  ICCAD 2005»
15 years 8 months ago
Scalable compositional minimization via static analysis
State-equivalence based reduction techniques, e.g. bisimulation minimization, can be used to reduce a state transition system to facilitate subsequent verification tasks. However...
Fadi A. Zaraket, Jason Baumgartner, Adnan Aziz
QEST
2010
IEEE
14 years 9 months ago
Symblicit Calculation of Long-Run Averages for Concurrent Probabilistic Systems
Abstract--Model checkers for concurrent probabilistic systems have become very popular within the last decade. The study of long-run average behavior has however received only scan...
Ralf Wimmer, Bettina Braitling, Bernd Becker, Erns...
EDBT
2010
ACM
185views Database» more  EDBT 2010»
15 years 1 months ago
Probabilistic threshold k nearest neighbor queries over moving objects in symbolic indoor space
The availability of indoor positioning renders it possible to deploy location-based services in indoor spaces. Many such services will benefit from the efficient support for k n...
Bin Yang 0002, Hua Lu, Christian S. Jensen