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UAI
2008
13 years 11 months ago
Hybrid Variational/Gibbs Collapsed Inference in Topic Models
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...
Max Welling, Yee Whye Teh, Bert Kappen
UAI
2004
13 years 11 months ago
The Author-Topic Model for Authors and Documents
Michal Rosen-Zvi, Thomas L. Griffiths, Mark Steyve...
BMCBI
2006
130views more  BMCBI 2006»
13 years 10 months ago
Identifying biological concepts from a protein-related corpus with a probabilistic topic model
Background: Biomedical literature, e.g., MEDLINE, contains a wealth of knowledge regarding functions of proteins. Major recurring biological concepts within such text corpora repr...
Bin Zheng, David C. McLean Jr, Xinghua Lu
IEICET
2008
50views more  IEICET 2008»
13 years 10 months ago
Entity Network Prediction Using Multitype Topic Models
Hitohiro Shiozaki, Koji Eguchi, Takenao Ohkawa