2009

Latent Dirichlet Bayesian Co-Clustering.
Machine Learning and Knowledge Discovery in Databases:522-537, 2009.
Pu Wang, Carlotta Domeniconi and Kathryn Laskey.
[doi]  [abstract]  [BibTeX] 

2008

Bayesian Co-clustering..
In: ICDM, pages 530-539. IEEE Computer Society, 2008.
Hanhuai Shan and Arindam Banerjee.
[doi]  [BibTeX] 
Collapsed Variational Inference for HDP.
In: Advances in Neural Information Processing Systems, volume 20. 2008.
Y. W. Teh, K. Kurihara and M. Welling.
[BibTeX] 
Bayesian approach to clustering real value, categorical and network data: solution via variational methods.
2008. cite arxiv:0805.2689 Comment: 12 pages, 5 figures. New sections added.
Alexei Vazquez.
[doi]  [abstract]  [BibTeX] 

2006

Hierarchical dirichlet processes.
Journal of the American Statistical Association, 101(476):1566-1581, 2006.
Y.W. Teh, M.I. Jordan, M.J. Beal and D.M. Blei.
[doi]  [BibTeX] 

2005

Clustering with Bregman Divergences..
Journal of Machine Learning Research, 6:1705-1749, 2005.
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon and Joydeep Ghosh.
[doi]  [BibTeX] 
Parameter estimation for text analysis.
Web: http://www. arbylon. net/publications/text-est. pdf, 2005.
G. Heinrich.
[doi]  [BibTeX] 

2004

Introduction to Bayesian learning.
In: SIGGRAPH '04: ACM SIGGRAPH 2004 Course Notes, pages 22. ACM, New York, NY, USA, 2004.
Aaron Hertzmann.
[doi]  [abstract]  [BibTeX] 

2001

An introduction to graphical models.
Web. 2001.
Kevin Murphy.
[doi]  [BibTeX] 

1999

Introduction to inference for Bayesian networks.
Learning in graphical models:9-26, 1999.
R. Cowell.
[doi]  [BibTeX] 
An Introduction to Variational Methods for Graphical Models.
Mach. Learn., 37(2):183-233, 1999.
Michael I. Jordan, Zoubin Ghahramani, Tommi S. Jaakkola and Lawrence K. Saul.
[doi]  [BibTeX] 

1998

Advanced inference in Bayesian networks.
1998.
R. Cowell.
[doi]  [BibTeX] 
Learning in Graphical Models.
1998.
[BibTeX] 
Learning in graphical models.
1998.
M.I. Jordan.
[doi]  [BibTeX] 

1994

Operations for Learning with Graphical Models.
Journal of Artificial Intelligence Research, 2:159-225, 1994.
Wray L. Buntine.
[doi]  [abstract]  [BibTeX] 

1984

Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images.
IEEE Trans. Pattern Anal. Machine Intell, 6:721-741, 1984.
S.G.E.M. AN and D.G.E.M. AN.
[doi]  [BibTeX]