Login Help

keywords = Dirichlet (19 entries)  Select: All None   Action: Show BibTeX

Y. W. Teh , D. Görür and Z. Ghahramani. 2007. Stick-breaking Construction for the Indian Buffet Process. In Proceedings of the International Conference on Artificial Intelligence and Statistics, vol 11. [Dirichlet, npbayes] pdf google scholar
Y. W. Teh . 2007. Dirichlet Processes. Submitted to Encyclopedia of Machine Learning. [Dirichlet, npbayes] pdf google scholar
R. Thibaux and M.I. Jordan. 2007. Hierarchical beta processes and the Indian buffet process. In Proceedings of the International Workshop on Artificial Intelligence and Statistics, vol 11. [Dirichlet, npbayes] pdf google scholar
Y. W. Teh , M. I. Jordan , M. J. Beal and D. M. Blei . 2006. Hierarchical Dirichlet Processes. Journal of the American Statistical Association, vol 101, no 476, pp 1566-1581. [Dirichlet, cl09bib, npbayes, comp542] pdf pdf pdf google scholar
D.M. Blei and M.I. Jordan. 2006. Variational inference for Dirichlet process mixtures. Bayesian Analysis, vol 1, no 1, pp 121--144. [Dirichlet, npbayes] pdf google scholar
Volker Tresp. 2006. Dirichlet Processes and Nonparametric Bayesian Modelling. [Bayes, Nonparametric, Dirichlet, npbayes] pdf google scholar
Y. W. Teh , M. I. Jordan , M. J. Beal and D. M. Blei . 2005. Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes. In Advances in Neural Information Processing Systems, vol 17. [Dirichlet, npbayes] pdf google scholar
Michael I. Jordan. 2005. Dirichlet Processes, Chinese Restaurant Processes and all that. NIPS Tutorial. [Bayes, Nonparametric, Dirichlet, npbayes] pdf ps google scholar
Y. W. Teh , M. I. Jordan , M. J. Beal and D. M. Blei . 2004. Hierarchical Dirichlet Processes, no 653. Department of Statistics, University of California at Berkeley. [Dirichlet, npbayes] pdf google scholar
D.M. Blei, T.L. Griffiths, M.I. Jordan and J.B. Tenenbaum. 2004. Hierarchical topic models and the nested Chinese restaurant process. In Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference, pp 17. [Dirichlet, npbayes] pdf google scholar
A. Ranganathan. 2004. The Dirichlet Process Mixture (DPM) Model. Internet draft, October 2006. [Dirichlet, npbayes] pdf google scholar
S. Jain and R.M. Neal. 2004. A split-merge Markov chain Monte Carlo procedure for the Dirichlet process mixture model. Journal of Computational and Graphical Statistics, vol 13, no 1, pp 158--182. [Dirichlet, npbayes] pdf google scholar
T.P. Minka. 2003. Estimating a Dirichlet distribution. Annals of Physics, vol 2000, no 8, pp 1--13. Technical report, MIT, 2000. [Dirichlet, npbayes] pdf url google scholar
David M. Blei, Andrew Y. Ng and Michael I. Jordan. 2003. Latent Dirichlet Allocation. Journal of Machine Learning Research. [Bayes, Dirichlet, npbayes, fulbright] url pdf google scholar
C.E. Rasmussen. 2000. The infinite Gaussian mixture model. Advances in Neural Information Processing Systems, vol 12, pp 554--560. [Dirichlet, npbayes] pdf google scholar
R.M. Neal. 2000. Markov chain sampling methods for Dirichlet process mixture models. Journal of computational and graphical statistics, pp 249--265. [Dirichlet, npbayes] url google scholar
R.E. Kass and A.E. Raftery. 1995. Bayes factors. Journal of the American Statistical Association, pp 773--795. [Dirichlet, npbayes] pdf google scholar
M.D. Escobar and M. West. 1995. Bayesian density estimation and inference using mixtures. Journal of the american statistical association, pp 577--588. [Dirichlet, npbayes] url google scholar
R. M. Neal. 1991. Bayesian mixture modeling by Monte Carlo simulation. Technical Report, no CRG-TR-91-2. Dept. of Computer Science, University of Toronto. [Dirichlet, npbayes] pdf google scholar

x$Id: bibtex.php,v 1.59 2021/01/12 08:36:11 dyuret Exp $   download