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AMAI
2004
Springer
14 years 2 months ago
Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes
The majority of the work in the area of Markov decision processes has focused on expected values of rewards in the objective function and expected costs in the constraints. Althou...
Dmitri A. Dolgov, Edmund H. Durfee
CONCUR
2000
Springer
14 years 1 months ago
Verifying Quantitative Properties of Continuous Probabilistic Timed Automata
Abstract. We consider the problem of automatically verifying realtime systems with continuously distributed random delays. We generalise probabilistic timed automata introduced in ...
Marta Z. Kwiatkowska, Gethin Norman, Roberto Segal...
FORTE
2004
13 years 10 months ago
How Synchronisation Strategy Approximation in PEPA Implementations Affects Passage Time Performance Results
Passage time densities are useful performance measurements in stochastic systems. With them the modeller can extract probabilistic quality-of-service guarantees such as: the proba...
Jeremy T. Bradley, Stephen T. Gilmore, Nigel Thoma...
NECO
2008
108views more  NECO 2008»
13 years 8 months ago
Optimal Approximation of Signal Priors
In signal restoration by Bayesian inference, one typically uses a parametric model of the prior distribution of the signal. Here, we consider how the parameters of a prior model s...
Aapo Hyvärinen
FOSSACS
2005
Springer
14 years 2 months ago
Stochastic Transition Systems for Continuous State Spaces and Non-determinism
Abstract. We study the interaction between non-deterministic and probabilistic behaviour in systems with continuous state spaces, arbitrary probability distributions and uncountabl...
Stefano Cattani, Roberto Segala, Marta Z. Kwiatkow...