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we will need to cover parameter learning in graphical models; ..... The EM procedure for learning directed graphical models with hidden variables can be ...

http://www.gatsby.ucl.ac.uk/~zoubin/course04/hbtnn2e-II.pdf

by MI Jordan - Cited by 9

http://www.gatsby.ucl.ac.uk/~zoubin/course04/hbtnn2e-I.pdf

4 Aug 2009 ... course will also cover learning in Graphical Models, ... Please register me for Machine Learning Using Graphical Models on 18-19 August 2009 ...

http://atp-webproxy1.it.nicta.com.au/__data/assets/pdf_file/0020/17345/MachineLearning.pdf

by CM Bishop - Cited by 4

http://research.microsoft.com/en-us/um/people/cmbishop/downloads/bishop-variational-icann-98.pdf

by E InferenceLearning in Graphical Models. M. I. Jordan, Ed (1998). MIT Press. •. Graphical Models for Machine Learning and Digital Communication. B. J.. Frey (1998). ...

http://research.microsoft.com/en-us/um/people/cmbishop/downloads/bishop-nato-2.pdf

by FR Bach - Cited by 26

http://books.nips.cc/papers/files/nips15/AA67.pdf

to many operations with graphical models, e.g., active learning and sen- sitivity analysis. Previously, pairwise information gain calculation has ...

http://books.nips.cc/papers/files/nips18/NIPS2005_0672.pdf

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http://cs.ubc.ca/~murphyk/Papers/intro_gm.pdf

by M Schmidt - Cited by 17

http://www.cs.ubc.ca/~murphyk/Papers/aaai07.pdf

We focus on learning graphical models of object classes from arbitrary instances of objects. Large intra-class variability of object ap- ...

http://www.springerlink.com/index/2j4qk33m27783v63.pdf

Here we derive an algorithm for learning topologies of graphical models ... Keywords MCMC · Equivalence search · Learning graphical models ...

http://www.springerlink.com/index/T078264557313177.pdf

by I Murray - Cited by 34

http://learning.eng.cam.ac.uk/zoubin/papers/uai04murray.pdf

by MJ Beal - 2006 - Cited by 21

http://learning.eng.cam.ac.uk/zoubin/papers/BeaGha06.pdf

by MI Jordan - Cited by 251

http://www.stat.columbia.edu/~liam/teaching/neurostat-spr09/papers/hmm/jordan-graphical-models.pdf

by S MEGANCK - Cited by 4

http://placid.insa-rouen.fr/-Livrable09.pdf

Learning Gaussian Graphical Models with Unknown Group Sparsity. Kevin Murphy. Ben Marlin. Depts. of Statistics & Computer Science. Univ. British Columbia ...

http://people.ee.duke.edu/~lcarin/murphy.pdf

lems of inference and learning in graphical models. We hope to have con- vinced the reader that variational methods can provide a powerful and ...

http://www.cs.cmu.edu/~tom/10-702/zoubin-varintro.pdf

by WL Buntine - 1994 - Cited by 405

http://www.cs.cmu.edu/afs/cs/project/jair/pub/volume2/buntine94a.pdf

by V Manfredi - Cited by 3

http://www.cs.umass.edu/~mahadeva/papers/icml-rrfrl.pdf

My research centers around parametric and nonparametric machine learning with graphical models. This includes kernel methods and exponential families, ...

http://www.stat.purdue.edu/~zhang305/pubDoc/research_statement.pdf

by JJ McAuley - Cited by 1

http://users.rsise.anu.edu.au/~julianm/pdfs/poster_nips08.pdf

by I Rezek - Cited by 1

http://www.robots.ox.ac.uk/~sjrob/Pubs/mlandgames_fusion05.pdf

ing with uncertainty and noise, research in machine learning and graphical models has resulted in a remarkable array of powerful algorithms for statis- ...

http://www.robots.ox.ac.uk/~argus/papers/Game Theory, Graphical Models and Probabilistic Inference - workshopProposal.pdf

by BJ Frey - Cited by 81

http://www.psi.toronto.edu/~psi/pubs2/2005/freyJojicTutorial.pdf

the editor of Learning in Graphical Models (MIT Press, 1999). Terrence J. Sejnowski is Head of the Department of Computational ...

http://papers.cnl.salk.edu/PDFs/Graphical Models_ Foundations of Neural Computation 2001-3654.pdf

1 May 2000 ... 67 ）−. Inference and Learning with Graphical Models. Inference and Learning with Graphical Models. Hideki ASOH, Yoichi MOTOMURA, ...

http://www.aist.go.jp/ETL/jp/results/bulletin/pdf/64-4to5/11aso72.pdf

by D Verma - Cited by 2

http://www.cs.washington.edu/homes/rao/ecml-imitation-graphical-models-07.pdf

by Z Ghahramani - Related articles

http://www.cis.upenn.edu/~mkearns/papers/barbados/jordan-tut.pdf

by MIT LIDS - Related articles

http://www.mit.edu/~vtan/ssp2007.pdf

tic graphical models (5, 6) for model-based analysis of cellular networks. These models were developed in the fields of machine learning and statistics for ...

http://stke.sciencemag.org/cgi/reprint/sci;303/5659/799.pdf

these papers will appeal both to vision researchers who are actively engaged in the use of graphical models and machine learning researchers looking for a ...

http://ieeexplore.ieee.org/iel5/34/27147/01206508.pdf?arnumber=1206508

Learning the structure of the graphical model presents a more difficult problem. ..... [ll] M.I. Jordan, Learning in Graphical Models, MIT ...

http://ieeexplore.ieee.org/iel5/7951/21954/01020903.pdf?arnumber=1020903

by S Lacoste-Julien - Cited by 3

http://www.eecs.berkeley.edu/~slacoste/school/cs281a/project/M3netReportpdf.pdf

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by MJ Beal - Cited by 37

http://www.goldenmetallic.com/research/eccv02.pdf

30 Jan 2009 ... Pattern Recognition and Machine Learning. Springer. Jordan, M. I., editor (1998). Learning in Graphical Models. Cambridge, MA: MIT Press. ...

http://idiom.ucsd.edu/~rlevy/teaching/winter2009/ligncse256/lectures/directed_graphical_models_short_intro.pdf

by S Roy - Cited by 1

http://www.cs.mcgill.ca/~icml2009/papers/276.pdf

by MF Tappen - Cited by 1

http://www.eecs.ucf.edu/~mtappen/pubs/cvpr08.pdf

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by A Deshpande - Cited by 2

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by D Margaritis - Cited by 2

http://archives.cs.iastate.edu/documents/disk0/00/00/03/40/00000340-00/TR-ISU-CS-04-06.pdf

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