Publications

Alexei Vazquez. Bayesian approach to clustering real value, categorical and network data: solution via variational methods. 2008. [PUMA: bayesian clustering community detection] URL

G. Heinrich. Parameter estimation for text analysis. Web: http://www. arbylon. net/publications/text-est. pdf, 2005. [PUMA: bayesian introduction lda tutorial] URL

Pu Wang, Carlotta Domeniconi, und Kathryn Laskey. Latent Dirichlet Bayesian Co-Clustering. Machine Learning and Knowledge Discovery in Databases, 522--537, 2009. [PUMA: 2009 bayesian clustering ecml lda pkdd] URL

Hanhuai Shan, und Arindam Banerjee. Bayesian Co-clustering.. ICDM, 530-539, IEEE Computer Society, 2008. [PUMA: bayesian clustering co-clustering lda] URL

Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, und Joydeep Ghosh. Clustering with Bregman Divergences.. Journal of Machine Learning Research, (6):1705-1749, 2005. [PUMA: bayesian clustering lda mixture models] URL

Michael I. Jordan, Zoubin Ghahramani, Tommi S. Jaakkola, und Lawrence K. Saul. An Introduction to Variational Methods for Graphical Models. Mach. Learn., (37)2:183--233, Kluwer Academic Publishers, Hingham, MA, USA, 1999. [PUMA: bayesian graphical models variational] URL

Learning in Graphical Models. In M. Jordan (Hrsg.), MIT Press, 1998. [PUMA: bayesian graphical learning ml model]

R. Cowell. Introduction to inference for Bayesian networks. Learning in graphical models, 9--26, 1999. [PUMA: bayesian inference networks] URL

R. Cowell. Advanced inference in Bayesian networks. Learning in Graphical Models. MIT Press, 1998. [PUMA: bayesian introduction ml networks] URL

S.G.E.M. AN, und D.G.E.M. AN. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans. Pattern Anal. Machine Intell, (6):721--741, 1984. [PUMA: bayesian distribution estimation gibbs parameter sampling] URL

Y. W. Teh, K. Kurihara, und M. Welling. Collapsed Variational Inference for HDP. Advances in Neural Information Processing Systems, (20)2008. [PUMA: bayesian collapsed hierachical inference lda variational]

Wray L. Buntine. Operations for Learning with Graphical Models. Journal of Artificial Intelligence Research, (2):159--225, 1994. [PUMA: bayesian graphical introduction ml models notation plate] URL

Kevin Murphy. An introduction to graphical models. 2001. [PUMA: bayesian graphical introduction models] URL

Aaron Hertzmann. Introduction to Bayesian learning. SIGGRAPH '04: ACM SIGGRAPH 2004 Course Notes, 22, ACM, New York, NY, USA, 2004. [PUMA: bayesian introduction learning] URL

M.I. Jordan. Learning in graphical models. Kluwer Academic Publishers, 1998. [PUMA: bayesian graphical introduction models] URL

Y.W. Teh, M.I. Jordan, M.J. Beal, und D.M. Blei. Hierarchical dirichlet processes. Journal of the American Statistical Association, (101)476:1566--1581, Citeseer, 2006. [PUMA: bayesian dirichlet gibbs hierarchical lda] URL