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ENTCS
2006
90views more  ENTCS 2006»
13 years 7 months ago
Runtime Verification for High-Confidence Systems: A Monte Carlo Approach
We present a new approach to runtime verification that utilizes classical statistical techniques such as Monte Carlo simulation, hypothesis testing, and confidence interval estima...
Sean Callanan, Radu Grosu, Abhishek Rai, Scott A. ...
TSP
2011
197views more  TSP 2011»
13 years 2 months ago
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods
—This paper proposes a technique for motion estimation of groups of targets based on evolving graph networks. The main novelty over alternative group tracking techniques stems fr...
Amadou Gning, Lyudmila Mihaylova, Simon Maskell, S...
CAV
2009
Springer
187views Hardware» more  CAV 2009»
14 years 8 months ago
A Markov Chain Monte Carlo Sampler for Mixed Boolean/Integer Constraints
We describe a Markov chain Monte Carlo (MCMC)-based algorithm for sampling solutions to mixed Boolean/integer constraint problems. The focus of this work differs in two points from...
Nathan Kitchen, Andreas Kuehlmann
FCCM
2008
IEEE
205views VLSI» more  FCCM 2008»
14 years 2 months ago
Credit Risk Modelling using Hardware Accelerated Monte-Carlo Simulation
The recent turmoil in global credit markets has demonstrated the need for advanced modelling of credit risk, which can take into account the effects of changing economic condition...
David B. Thomas, Wayne Luk
ICRA
2005
IEEE
115views Robotics» more  ICRA 2005»
14 years 1 months ago
Language-based Feedback Control Using Monte Carlo Sensing
Abstract— Landmark-based graphs are a useful and parsimonious tool for representing large scale environments. Relating landmarks by means of feedback-control algorithms encoded i...
Sean B. Andersson, Dimitrios Hristu-Varsakelis