CiteULike: bertelsen's Jordan:MI [8 articles]

Variational Inference for Dirichlet Process Mixtures

(2006)

by David M. Blei, Michael I. Jordan

posted to variational-inference nonparametric mixture dirichlet-process bayesian by bertelsen on 2009-09-25 13:45:28 as

along with 2 people matjes maximzhao

Variational methods for the Dirichlet process

In ICML '04: Proceedings of the twenty-first international conference on Machine learning (2004), 12.

by David M. Blei, Michael I. Jordan

posted to bayesian dirichlet-process inference probabilistic variational by bertelsen on 2009-07-10 12:35:22 as

along with 2 people zhengyun cbosuna

The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies

(27 Aug 2009)

by David M. Blei, Thomas L. Griffiths, Michael I. Jordan

posted to dirichlet-process hierarchical models nested nonparametric by bertelsen on 2009-07-05 23:38:47 as

along with 2 people ngehlenborg ldietz

An Introduction to Variational Methods for Graphical Models

Machine Learning, Vol. 37, No. 2. (1 November 1999), pp. 183-233.

by Michael I. Jordan, Zoubin Ghahramani, Tommi S. Jaakkola, Lawrence K. Saul

posted to bayesian graphical-modelling methods variational by bertelsen on 2009-06-11 22:08:23 as

along with 9 people zhengyun ktsianos ppeeling arthur ldietz Ayest wnpx wasteland93 asterix77

Modeling annotated data

In SIGIR '03: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval (2003), pp. 127-134.

by David M. Blei, Michael I. Jordan

posted to annotation data dirichlet hierarchical latent modeling probabilistic by bertelsen on 2009-06-05 18:35:46 as

along with 10 people and 4 groups zhengyun maximzhao erain eddymier mehrbod rayzhang ldietz jekky Mohan-S cbosuna CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR

Hierarchical Bayesian Nonparametric Models with Applications.

In Bayesian Nonparametrics: Principles and Practice (to appear) (2009)

by Y. W. Teh, M. I. Jordan

edited by N. Hjort, C. Holmes, P. Mueller, S. Walker

posted to bayesian hierarchical nonparametric probability by bertelsen on 2009-04-20 21:01:15 as

along with 1 person bhaddow

Hierarchical Beta Processes and the Indian Buffet Process

by Romain Thibaux, Michael I. Jordan

posted to buffet hierarchical indian learning machine process by bertelsen on 2009-03-31 15:03:49 as

The phylogenetic Indian buffet process: A non-exchangeable nonparametric prior for latent features

In Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI 2008) (2008)

by K. T. Miller, T. L. Griffiths, M. I. Jordan

posted to bayesian models nonparametric prior by bertelsen on 2008-09-30 21:10:22 as

along with 1 person vlachmore

	Variational Inference for Dirichlet Process Mixtures [My Copy] (2006) by David M. Blei, Michael I. Jordan posted to variational-inference nonparametric mixture dirichlet-process bayesian by bertelsen on 2009-09-25 13:45:28 as along with 2 people matjes maximzhao
	Variational methods for the Dirichlet process [My Copy] In ICML '04: Proceedings of the twenty-first international conference on Machine learning (2004), 12. by David M. Blei, Michael I. Jordan posted to bayesian dirichlet-process inference probabilistic variational by bertelsen on 2009-07-10 12:35:22 as along with 2 people zhengyun cbosuna
	The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies [My Copy] (27 Aug 2009) by David M. Blei, Thomas L. Griffiths, Michael I. Jordan posted to dirichlet-process hierarchical models nested nonparametric by bertelsen on 2009-07-05 23:38:47 as along with 2 people ngehlenborg ldietz
	An Introduction to Variational Methods for Graphical Models [My Copy] Machine Learning, Vol. 37, No. 2. (1 November 1999), pp. 183-233. by Michael I. Jordan, Zoubin Ghahramani, Tommi S. Jaakkola, Lawrence K. Saul posted to bayesian graphical-modelling methods variational by bertelsen on 2009-06-11 22:08:23 as along with 9 people zhengyun ktsianos ppeeling arthur ldietz Ayest wnpx wasteland93 asterix77
	Modeling annotated data [My Copy] In SIGIR '03: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval (2003), pp. 127-134. by David M. Blei, Michael I. Jordan posted to annotation data dirichlet hierarchical latent modeling probabilistic by bertelsen on 2009-06-05 18:35:46 as along with 10 people and 4 groups zhengyun maximzhao erain eddymier mehrbod rayzhang ldietz jekky Mohan-S cbosuna CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
	Hierarchical Bayesian Nonparametric Models with Applications. [My Copy] In Bayesian Nonparametrics: Principles and Practice (to appear) (2009) by Y. W. Teh, M. I. Jordan edited by N. Hjort, C. Holmes, P. Mueller, S. Walker posted to bayesian hierarchical nonparametric probability by bertelsen on 2009-04-20 21:01:15 as along with 1 person bhaddow
	Hierarchical Beta Processes and the Indian Buffet Process [My Copy] by Romain Thibaux, Michael I. Jordan posted to buffet hierarchical indian learning machine process by bertelsen on 2009-03-31 15:03:49 as
	The phylogenetic Indian buffet process: A non-exchangeable nonparametric prior for latent features [My Copy] In Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI 2008) (2008) by K. T. Miller, T. L. Griffiths, M. I. Jordan posted to bayesian models nonparametric prior by bertelsen on 2008-09-30 21:10:22 as along with 1 person vlachmore

bertelsen's Jordan:MI [8 articles] Export Sort

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