190 search results - page 27 / 38 » On solving integral equations using Markov chain Monte Carlo... |
ICML
2007
IEEE
16 years 16 days ago
2007
IEEE
This paper presents a novel Gaussian process (GP) approach to regression with inputdependent noise rates. We follow Goldberg et al.'s approach and model the noise variance us...
102
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AUSAI
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
WSCG
2003
15 years 1 months ago
2003
This paper presents our work on an experimental system for visualization of the light load. The light load is thought as the total amount of light radiation received by all areas ...
CDC
2008
IEEE
15 years 6 months ago
2008
IEEE
— We define the concept of approximate domain optimizer for deterministic and expected value optimization criteria. Roughly speaking, a candidate optimizer is an approximate dom...
128
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JMLR
2010
14 years 6 months ago
2010
Many probabilistic models introduce strong dependencies between variables using a latent multivariate Gaussian distribution or a Gaussian process. We present a new Markov chain Mo...