120 search results - page 3 / 24 » Collapsed Variational Dirichlet Process Mixture Models |
JMLR
2010
13 years 3 days ago
2010
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
PKDD
2009
Springer
13 years 12 months ago
2009
Springer
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
NIPS
2007
13 years 6 months ago
2007
A wide variety of Dirichlet-multinomial ‘topic’ models have found interesting applications in recent years. While Gibbs sampling remains an important method of inference in su...
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
Users of topic modeling methods often have knowledge about the composition of words that should have high or low probability in various topics. We incorporate such domain knowledg...
JCST
2010
13 years 3 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...