18 search results - page 3 / 4 » A bayesian mixture model with linear regression mixing propo... |
MA
2010
Springer
14 years 8 months ago
2010
Springer
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
159
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ICML
2010
IEEE
14 years 10 months 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...
104
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NIPS
2008
14 years 11 months ago
2008
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
ML
2002
ACM
14 years 9 months ago
2002
ACM
When simple parametric models such as linear regression fail to adequately approximate a relationship across an entire set of data, an alternative may be to consider a partition o...
PR
2006
14 years 9 months ago
2006
: We address the pose mismatch problem which can occur in face verification systems that have only a single (frontal) face image available for training. In the framework of a Bayes...