161 search results - page 9 / 33 » Inferring Mixtures of Markov Chains |
ORL
2007
14 years 11 months ago
2007
In ergodic MDPs we consider stationary distributions of policies that coincide in all but n states, in which one of two possible actions is chosen. We give conditions and formulas...
165
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IVC
2008
14 years 11 months ago
2008
Reversible jump Markov chain Monte Carlo (RJMCMC) is a recent method which makes it possible to construct reversible Markov chain samplers that jump between parameter subspaces of...
AMAI
2004
Springer
15 years 5 months ago
2004
Springer
Bayesian Model Averaging (BMA) is well known for improving predictive accuracy by averaging inferences over all models in the model space. However, Markov chain Monte Carlo (MCMC)...
246
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SIGMOD
2011
ACM
14 years 2 months ago
2011
ACM
In the database community, work on information extraction (IE) has centered on two themes: how to effectively manage IE tasks, and how to manage the uncertainties that arise in th...
114
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ECCV
2006
Springer
16 years 1 months ago
2006
Springer
A nonparametric Bayesian model for histogram clustering is proposed to automatically determine the number of segments when Markov Random Field constraints enforce smooth class assi...