Active Bibliography

564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
18 Unsupervised learning – Zoubin Ghahramani - 2004
Accepted to IEEE Transactions on Information Theory – unknown authors - 2005
Proposed design for gR, a graphical models toolkit for R – Kevin P. Murphy - 2003
Approved as to style and content by: – Charles A. Sutton, Sridhar Mahadevan Member, Jonathan Machta Member, Tommi Jaakkola Member, Andrew Barto, Department Chair, Hanna Wallach, Max Welling - 2008
67 Graphical models and automatic speech recognition – Jeffrey A. Bilmes - 2003
27 Log-Determinant Relaxation for Approximate Inference in Discrete Markov Random Fields – Martin J. Wainwright, Martin I. Jordan - 2006
Inconsistent parameter estimation in Markov random fields: Benefits in the computation-limited setting – Martin J. Wainwright - 2006
12 Estimation and marginalization using Kikuchi approximation methods – Payam Pakzad, Venkat Anantharam - 2003
414 Constructing Free Energy Approximations and Generalized Belief Propagation Algorithms – Jonathan S. Yedidia, William T. Freeman, Yair Weiss - 2005
1 Graphical model, message-passing algorithms and convex optimization. [Online]. Available: http://www.eecs.berkeley. edu/ ∼wainwrig/Talks/A GraphModel Tutorial.pdf – Martin J. Wainwright - 2003
1 Hidden Dynamic Models for Speech Processing Applications – Leo Jingyu Lee
Low-Complexity Message-Passing Algorithms for Distributed Computation – Nima Noorshams - 2013
2 Graphical Models for Statistical Inference and Data Assimilation – Alexander T. Ihler, Sergey Kirshner, Michael Ghil, Andrew W. Robertson, Padhraic Smyth - 2005
102 Tree-Based Reparameterization Framework for Analysis of Belief Propagation and Related Algorithms – Martin Wainwright, Tommi Jaakkola, Alan Willsky - 2001
Graphical Models for Biclustering . . . – José Caldas - 2012
11 Advances in Algorithms for Inference and Learning in Complex Probability Models for Vision – Brendan J. Frey, Nebojsa Jojic - 2002
1 Discriminative Adaptive Training and Bayesian Inference for Speech Recognition – Chandra Kant Raut - 2009
10 Structured variational distributions in VIBES – Christopher M. Bishop - 2003