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» Estimation of non-stationary Markov Chain transition models
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ICST
2010
IEEE
13 years 4 months ago
Generating Transition Probabilities for Automatic Model-Based Test Generation
—Markov chains with Labelled Transitions can be used to generate test cases in a model-based approach. These test cases are generated by random walks on the model according to pr...
Abderrahmane Feliachi, Hélène Le Gue...
ICALP
2000
Springer
13 years 9 months ago
Amalgamation of Transition Sequences in the PEPA Formalism
This report presents a formal approach to reducing sequences in PEPA components. Performing the described amalgamation procedure we may remove, from the underlying Markov chain, t...
Jane Hillston, J. Tomasik
GLOBECOM
2006
IEEE
13 years 11 months ago
Multi-Antenna Limited Feedback for Temporally-Correlated Channels: Feedback Compression
— A novel method is proposed for reducing the feedback rate of a transmit beamforming system with feedback of quantized channel state information. Specifically, the channel is m...
Kaibin Huang, Bishwarup Mondal, Robert W. Heath Jr...
JMLR
2010
145views more  JMLR 2010»
13 years 16 days ago
Parallelizable Sampling of Markov Random Fields
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
James Martens, Ilya Sutskever
ICPR
2000
IEEE
14 years 6 months ago
Image Distance Using Hidden Markov Models
We describe a method for learning statistical models of images using a second-order hidden Markov mesh model. First, an image can be segmented in a way that best matches its stati...
Daniel DeMenthon, David S. Doermann, Marc Vuilleum...