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» Bayesian Inference for PCFGs via Markov Chain Monte Carlo
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NAACL
2007
13 years 5 months ago
Bayesian Inference for PCFGs via Markov Chain Monte Carlo
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...
Mark Johnson, Thomas L. Griffiths, Sharon Goldwate...
BIOINFORMATICS
2008
148views more  BIOINFORMATICS 2008»
13 years 4 months ago
Bayesian inference of the sites of perturbations in metabolic pathways via Markov chain Monte Carlo
Bayu Jayawardhana, Douglas B. Kell, Magnus Rattray
AAAI
2004
13 years 5 months ago
Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo
Based on the probabilistic reformulation of principal component analysis (PCA), we consider the problem of determining the number of principal components as a model selection prob...
Zhihua Zhang, Kap Luk Chan, James T. Kwok, Dit-Yan...
KI
2010
Springer
13 years 2 months ago
Soft Evidential Update via Markov Chain Monte Carlo Inference
The key task in probabilistic reasoning is to appropriately update one’s beliefs as one obtains new information in the form of evidence. In many application settings, however, th...
Dominik Jain, Michael Beetz
AUTOMATICA
2010
122views more  AUTOMATICA 2010»
13 years 4 months ago
Bayesian system identification via Markov chain Monte Carlo techniques
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...
Brett Ninness, Soren J. Henriksen