200 search results - page 21 / 40 » Variational nonparametric Bayesian Hidden Markov Model |
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JCST
2010
14 years 9 months ago
2010
In the Bayesian mixture modeling framework it is possible to infer the necessary number of components to model the data and therefore it is unnecessary to explicitly restrict the n...
ICIP
2002
IEEE
16 years 5 days ago
2002
IEEE
In this paper, we demonstrate that multiscale Bayesian image segmentation can be enhanced by improving both contextual modeling and statistical texture characterization. Firstly, ...
JMLR
2010
14 years 5 months ago
2010
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
ICGI
1994
Springer
15 years 2 months ago
1994
Springer
We describe a framework for inducing probabilistic grammars from corpora of positive samples. First, samples are incorporated by adding ad-hoc rules to a working grammar; subseque...
JMLR
2011
14 years 5 months ago
2011
A logistic stick-breaking process (LSBP) is proposed for non-parametric clustering of general spatially- or temporally-dependent data, imposing the belief that proximate data are ...