347 search results - page 12 / 70 » Markov Chain Monte Carlo |
SAC
2010
ACM
13 years 7 months ago
2010
ACM
Simulated tempering (ST) is an established Markov Chain Monte Carlo (MCMC) methodology for sampling from a multimodal density π(θ). The technique involves introducing an auxilia...
NIPS
2003
13 years 10 months ago
2003
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
AAAI
2006
13 years 10 months ago
2006
Intelligent agents must be able to handle the complexity and uncertainty of the real world. Logical AI has focused mainly on the former, and statistical AI on the latter. Markov l...
SAC
2008
ACM
13 years 8 months ago
2008
ACM
Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...
ICIP
2008
IEEE
14 years 3 months ago
2008
IEEE
We propose a new image and blur prior model, based on nonstationary autoregressive (AR) models, and use these to blindly deconvolve blurred photographic images, using the Gibbs sa...