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author = Jordan, Michael I. (8 entries)  Select: All None   Action: Show BibTeX

Michael I. Jordan. 2005. Dirichlet Processes, Chinese Restaurant Processes and all that. NIPS Tutorial. [Bayes, Nonparametric, Dirichlet, npbayes] pdf ps google scholar
Michael I. Jordan. 2004. Graphical Models. Statistical Science, vol 19, pp 140--155. [Bayes, npbayes] ps 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. Andrieu, N. de Freitas, A. Doucet and Michael I. Jordan. 2003. An introduction to MCMC for machine learning. Machine Learning, vol 50, pp 5--43. [MCMC] pdf google scholar
M. J. Wainwright and Michael I. Jordan. 2003. Graphical models, exponential families and variational inference, no 649. UC Berkeley, Dept. of Statistics. [Variational] ps google scholar
Michael I. Jordan and Y. Weiss. 2002. Graphical models: Probabilistic inference. In The Handbook of Brain Theory and Neural Networks, Cambridge, MA. MIT Press. [Bayes, npbayes] ps google scholar
Michael I. Jordan. 1995. Computational aspects of motor control and motor learning. In press:Heuer & Keele, Handbook of Perception and Action. [COG] google scholar
Michael I. Jordan. 1995. Computational motor control, pp 597-609. From:Gazzaniga, The Cognitive Neurosciences. [COG] google scholar

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