64 search results - page 6 / 13 » Matrix-Variate Dirichlet Process Mixture Models |
108
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ICML
2004
IEEE
16 years 12 days ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
248
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ICML
2010
IEEE
15 years 20 days ago
2010
IEEE
The hierarchical Dirichlet process (HDP) is a Bayesian nonparametric mixed membership model--each data point is modeled with a collection of components of different proportions. T...
100
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NIPS
2004
15 years 1 months ago
2004
We propose the hierarchical Dirichlet process (HDP), a nonparametric Bayesian model for clustering problems involving multiple groups of data. Each group of data is modeled with a...
NIPS
2001
15 years 29 days ago
2001
We present an extension to the Mixture of Experts (ME) model, where the individual experts are Gaussian Process (GP) regression models. Using an input-dependent adaptation of the ...
111
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EMNLP
2009
14 years 9 months ago
2009
This paper presents preliminary results on the detection of cultural differences from people's experiences in various countries from two perspectives: tourists and locals. Ou...