Sciweavers

ICPP
2007
IEEE
13 years 11 months ago
Parallel Algorithms for Bayesian Indoor Positioning Systems
We present two parallel algorithms and their Unified Parallel C implementations for Bayesian indoor positioning systems. Our approaches are founded on Markov Chain Monte Carlo si...
Konstantinos Kleisouris, Richard P. Martin
FOCS
2007
IEEE
13 years 11 months ago
Mixing Time Power Laws at Criticality
We study the mixing time of some Markov Chains converging to critical physical models. These models are indexed by a parameter β and there exists some critical value βc where th...
Yun Long, Asaf Nachmias, Yuval Peres
DSN
2007
IEEE
13 years 11 months ago
Dynamic Fault Tree Analysis Using Input/Output Interactive Markov Chains
Dynamic Fault Trees (DFT) extend standard fault trees by allowing the modeling of complex system components’ behaviors and interactions. Being a high level model and easy to use...
Hichem Boudali, Pepijn Crouzen, Mariëlle Stoe...
HYBRID
2010
Springer
13 years 11 months ago
On the connections between PCTL and dynamic programming
Probabilistic Computation Tree Logic (PCTL) is a wellknown modal logic which has become a standard for expressing temporal properties of finite-state Markov chains in the context...
Federico Ramponi, Debasish Chatterjee, Sean Summer...
ICPR
2006
IEEE
14 years 5 months ago
A Combined Bayesian Markovian Approach for Behaviour Recognition
Numerous techniques exist which can be used for the task of behavioural analysis and recognition. Common amongst these are Bayesian networks and Hidden Markov Models. Although the...
David Paul Young, James M. Ferryman, Nicholas L. C...

Tutorial
1525views
15 years 3 months ago
Markov Chain Monte Carlo
This tutorial was held within the Maths Club at the University of Leeds Topics covered (briefly): Monte Carlo Integration Markov Chain Markov Chain Monte Carlo Sampling Metrop...
Dima Damen