65 search results - page 1 / 13 » Bayesian system identification via Markov chain Monte Carlo ... |
AUTOMATICA
2010
13 years 4 months ago
2010
The work here explores new numerical methods for supporting a Bayesian approach to parameter estimation of dynamic systems. This is primarily motivated by the goal of providing ac...
NAACL
2007
13 years 6 months ago
2007
This paper presents two Markov chain Monte Carlo (MCMC) algorithms for Bayesian inference of probabilistic context free grammars (PCFGs) from terminal strings, providing an altern...
BIOINFORMATICS
2008
13 years 4 months ago
2008
BMVC
2000
13 years 6 months ago
2000
We tackle the problem of object recognition using a Bayesian approach. A marked point process [1] is used as a prior model for the (unknown number of) objects. A sample is generat...
UAI
2001
13 years 6 months ago
2001
We present a general framework for defining priors on model structure and sampling from the posterior using the Metropolis-Hastings algorithm. The key ideas are that structure pri...