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» Diffusion Approximation for Bayesian Markov Chains
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ICIP
2010
IEEE
14 years 7 months ago
Bayesian regularization of diffusion tensor images using hierarchical MCMC and loopy belief propagation
Based on the theory of Markov Random Fields, a Bayesian regularization model for diffusion tensor images (DTI) is proposed in this paper. The low-degree parameterization of diffus...
Siming Wei, Jing Hua, Jiajun Bu, Chun Chen, Yizhou...
AUTOMATICA
2006
67views more  AUTOMATICA 2006»
14 years 9 months ago
Numerical methods for controlled regime-switching diffusions and regime-switching jump diffusions
This work is concerned with numerical methods for controlled regime-switching diffusions, and regime-switching jump diffusions. Numerical procedures based on Markov chain approxim...
Q. S. Song, Gang George Yin, Z. Zhang
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ICML
2005
IEEE
15 years 10 months ago
Tempering for Bayesian C&RT
This paper concerns the experimental assessment of tempering as a technique for improving Bayesian inference for C&RT models. Full Bayesian inference requires the computation ...
Nicos Angelopoulos, James Cussens
ICML
2008
IEEE
15 years 10 months ago
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
Ruslan Salakhutdinov, Andriy Mnih