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DSN
2007
IEEE
16 years 27 days 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...
ATAL
2008
Springer
15 years 8 months ago
Multi-robot Markov random fields
We propose Markov random fields (MRFs) as a probabilistic mathematical model for unifying approaches to multi-robot coordination or, more specifically, distributed action selectio...
Jesse Butterfield, Odest Chadwicke Jenkins, Brian ...
NIPS
1997
15 years 8 months ago
Nonlinear Markov Networks for Continuous Variables
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
Reimar Hofmann, Volker Tresp
NIPS
1996
15 years 7 months ago
Hidden Markov Decision Trees
We study a time series model that can be viewed as a decision tree with Markov temporal structure. The model is intractable for exact calculations, thus we utilize variational app...
Michael I. Jordan, Zoubin Ghahramani, Lawrence K. ...
CORR
2006
Springer
95views Education» more  CORR 2006»
15 years 6 months ago
A Markov Chain based method for generating long-range dependence
This paper describes a model for generating time series which exhibit the statistical phenomenon known as long-range dependence (LRD). A Markov Modulated Process based upon an inf...
Richard G. Clegg, Maurice Dodson