183 search results - page 16 / 37 » Markov Chain Monte Carlo using Tree-Based Priors on Model St... |
IJCAI
2001
13 years 10 months ago
2001
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
AUSAI
2006
Springer
14 years 17 days 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...
STOC
1997
ACM
14 years 1 months ago
1997
ACM
For a large class of examples arising in statistical physics known as attractive spin systems (e.g., the Ising model), one seeks to sample from a probability distribution π on an...
ICASSP
2011
IEEE
13 years 16 days ago
2011
IEEE
In this paper we present Poisson sum series representations for α-stable (αS) random variables and α-stable processes, in particular concentrating on continuous-time autoregres...
IPSN
2004
Springer
14 years 2 months ago
2004
Springer
We present a methodology for a sensor network to answer queries with limited and stochastic information using probabilistic techniques. This capability is useful in that it allows...