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» Process Algebra and Markov Chains
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QEST
2010
IEEE
13 years 5 months ago
The Measurable Space of Stochastic Processes
Abstract--We introduce a stochastic extension of CCS endowed with structural operational semantics expressed in terms of measure theory. The set of processes is organised as a meas...
Luca Cardelli, Radu Mardare
EPEW
2006
Springer
13 years 11 months ago
A Precedence PEPA Model for Performance and Reliability Analysis
We propose new techniques to simplify the computation of the cycle times and the absorption times for a large class of PEPA models. These techniques allow us to simplify the model ...
Jean-Michel Fourneau, Leïla Kloul
ML
2002
ACM
246views Machine Learning» more  ML 2002»
13 years 7 months ago
Bayesian Clustering by Dynamics
This paper introduces a Bayesian method for clustering dynamic processes. The method models dynamics as Markov chains and then applies an agglomerative clustering procedure to disc...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
COMCOM
1998
95views more  COMCOM 1998»
13 years 7 months ago
Correlation properties of the token leaky bucket departure process
In this paper we focus on the behavior of the token leaky bucket mechanism with respect to second-order statistics of the departure process under various correlated cell arrival a...
Kenneth Mitchell, Appie van de Liefvoort, Jerry Pl...
ICCS
2007
Springer
14 years 1 months ago
Complexity of Monte Carlo Algorithms for a Class of Integral Equations
In this work we study the computational complexity of a class of grid Monte Carlo algorithms for integral equations. The idea of the algorithms consists in an approximation of the ...
Ivan Dimov, Rayna Georgieva