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FSTTCS
2006
Springer
15 years 11 months ago
Testing Probabilistic Equivalence Through Reinforcement Learning
We propose a new approach to verification of probabilistic processes for which the model may not be available. We use a technique from Reinforcement Learning to approximate how far...
Josee Desharnais, François Laviolette, Sami...
FSTTCS
2006
Springer
15 years 11 months ago
Computationally Sound Symbolic Secrecy in the Presence of Hash Functions
The standard symbolic, deducibility-based notions of secrecy are in general insufficient from a cryptographic point of view, especially in presence of hash functions. In this paper...
Véronique Cortier, Steve Kremer, Ralf K&uum...
FSTTCS
2006
Springer
15 years 11 months ago
Game Semantics for Higher-Order Concurrency
Abstract. We describe a denotational (game) semantics for a call-byvalue functional language with multiple threads of control, which may communicate values of general type on local...
James Laird
FSTTCS
2006
Springer
15 years 11 months ago
Approximation Algorithms for 2-Stage Stochastic Optimization Problems
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
Chaitanya Swamy, David B. Shmoys
APSEC
2003
IEEE
15 years 11 months ago
An Analysis of Backward Simulation Data-Refinement for Partial Relation Semantics
This paper investigates data-refinement by backward simulation for specifications whose semantics is given by partial relations. The standard model-theoretic approach is based on ...
Moshe Deutsch, Martin C. Henson