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CORR
2006
Springer
122views Education» more  CORR 2006»
13 years 10 months ago
Derivatives of Entropy Rate in Special Families of Hidden Markov Chains
Consider a hidden Markov chain obtained as the observation process of an ordinary Markov chain corrupted by noise. Zuk, et. al. [13, 14] showed how, in principle, one can explicit...
Guangyue Han, Brian Marcus
ENTCS
2006
151views more  ENTCS 2006»
13 years 10 months ago
Stochastic Simulation Methods Applied to a Secure Electronic Voting Model
We demonstrate a novel simulation technique for analysing large stochastic process algebra models, applying this to a secure electronic voting system example. By approximating the...
Jeremy T. Bradley, Stephen T. Gilmore
IJISEC
2008
119views more  IJISEC 2008»
13 years 10 months ago
Estimating the maximum information leakage
Preventing improper information leaks is a greatest challenge of the modern society. In this paper we present a technique for measuring the ability of several families of adversari...
Alessandro Aldini, Alessandra Di Pierro
IJAR
2006
197views more  IJAR 2006»
13 years 10 months ago
Rough fuzzy set based scale space transforms and their use in image analysis
In this paper we present a multi-scale method based on the hybrid notion of rough fuzzy sets, coming from the combination of two models of uncertainty like vagueness by handling r...
Alfredo Petrosino, Giuseppe Salvi
JCB
2006
185views more  JCB 2006»
13 years 10 months ago
Bayesian Sequential Inference for Stochastic Kinetic Biochemical Network Models
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...
Andrew Golightly, Darren J. Wilkinson