112 search results - page 15 / 23 » Bayesian density estimation and model selection using nonpar... |
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SAC
2011
ACM
14 years 4 months ago
2011
ACM
We propose a more efficient version of the slice sampler for Dirichlet process mixture models described by Walker (2007). This sampler allows the fitting of infinite mixture mod...
ICDAR
2007
IEEE
15 years 3 months ago
2007
IEEE
We address document image classification by visual appearance. An image is represented by a variable-length list of visually salient features. A hierarchical Bayesian network is ...
101
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TMI
2010
14 years 4 months ago
2010
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
PE
2010
Springer
14 years 8 months ago
2010
Springer
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...