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Graphical models
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#	Item
191	EE12A – Advanced Inference in Graphical Models — Fall Quarter, Lecture 1 — http://j.ee.washington.edu/~bilmes/classes/ee512a_fall_2014/ Prof. Jeﬀ Bilmes University of Washington, Seattle Add to Reading List Source URL: j.ee.washington.edu Language: English - Date: 2014-10-02 20:05:59
192	Intro: Graphical Models & Belief Propagation Loop Calculus: Exact Inference with BP Matching & Learning with BP Future Challenges (Loop Calculus +) Statistical Inference and Loop Calculus in Add to Reading List Source URL: landau100.itp.ac.ru Language: English - Date: 2008-06-24 22:09:10
193	EE512A – Advanced Inference in Graphical Models — Fall Quarter, Lecture 10 — http://j.ee.washington.edu/~bilmes/classes/ee512a_fall_2014/ Prof. Jeff Bilmes University of Washington, Seattle Add to Reading List Source URL: j.ee.washington.edu Language: English - Date: 2014-11-05 03:01:38
194	EE596A – Dynamic Graphical Models Winter Quarter 2013 Prof. Jeff Bilmes University of Washington, Seattle Department of Electrical Engineering Winter Quarter, 2013 Add to Reading List Source URL: j.ee.washington.edu Language: English - Date: 2013-03-13 19:32:46
195	Kernel Belief Propagation 1 Le Song,1 Arthur Gretton,1,2 Danny Bickson,1 Yucheng Low,1 Carlos Guestrin1 School of Computer Science, CMU; 2 Gatsby Computational Neuroscience Unit & MPI for Biological Cybernetics Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2011-07-19 21:41:57 Statistics Probability Mathematical analysis Machine learning Hilbert space Graphical models Probability theory Belief propagation Coding theory Positive-definite kernel Mixture model Normal distribution
196	Nonparametric Tree Graphical Models via Kernel Embeddings 1 Le Song,1 Arthur Gretton,1,2 Carlos Guestrin1 School of Computer Science, Carnegie Mellon University; 2 MPI for Biological Cybernetics Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2010-04-01 17:58:33 Mathematics Mathematical analysis Hilbert space Topology Probability theory Model theory Graphical models Reproducing kernel Hilbert space Positive-definite kernel Embedding Belief propagation Kalman filter
197	EE512A – Advanced Inference in Graphical Models — Fall Quarter, Lecture 4 — http://j.ee.washington.edu/~bilmes/classes/ee512a_fall_2014/ Prof. Jeff Bilmes University of Washington, Seattle Add to Reading List Source URL: j.ee.washington.edu Language: English - Date: 2014-10-13 05:14:12
198	EE512A – Advanced Inference in Graphical Models — Fall Quarter, Lecture 18 — http://j.ee.washington.edu/~bilmes/classes/ee512a_fall_2014/ Prof. Jeff Bilmes University of Washington, Seattle Add to Reading List Source URL: j.ee.washington.edu Language: English - Date: 2014-12-03 00:45:07
199	Closed-form Gibbs Sampling for Graphical Models with Algebraic Constraints Hadi Mohasel Afshar Christfried Webers Scott Sanner Add to Reading List Source URL: www.web-port.net Language: English - Date: 2016-02-22 01:27:18
200	EE512A – Advanced Inference in Graphical Models — Fall Quarter, Lecture 19 — http://j.ee.washington.edu/~bilmes/classes/ee512a_fall_2014/ Prof. Jeff Bilmes University of Washington, Seattle Add to Reading List Source URL: j.ee.washington.edu Language: English - Date: 2014-12-03 13:47:30

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