Documents Related by Co-Citation

7069 Probabilistic Reasoning in Intelligent Systems – J Pearl - 1988
8569 Elements of Information Theory – T M Cover, J A Thomas - 1991
830 An introduction to variational methods for graphical models – Michael I. Jordan - 1999
309 Turbo decoding as an instance of Pearl’s belief propagation algorithm – Robert J. Mceliece, David J. C. Mackay, Jung-fu Cheng - 1998
400 Generalized Belief Propagation – Jonathan S. Yedidia, William T. Freeman, Yair Weiss - 2000
298 The generalized distributive law – S M Aji, R J McEliece
1230 Bayesian Data Analysis – Andrew Gelman, Christian Robert, Nicolas Chopin, Judith Rousseau - 1995
1163 Factor Graphs and the Sum-Product Algorithm – Frank R. Kschischang, Brendan J. Frey, Hans-Andrea Loeliger - 1998
300 Understanding belief propagation and its generalizations – J Yedidia, W T Freeman, Y Weiss - 2001
544 Markov Chain Monte Carlo in Practice – W R Gilks, S Richardson, D J Spiegelhalter - 1996
3721 Stochastic relaxation, Gibbs distribution, and the Bayesian restoration of images – S Geman, D Geman - 1984
8058 Maximum likelihood from incomplete data via the EM algorithm – A. P. Dempster, N. M. Laird, D. B. Rubin - 1977
178 Correctness of Local Probability Propagation in Graphical Models with Loops – Yair Weiss - 2000
4251 A tutorial on hidden markov models and selected applications in speech recognition – Lawrence R. Rabiner - 1989
305 Expectation propagation for approximate bayesian inference – Thomas P Minka - 2001
632 Probabilistic Networks and Expert Systems – R Cowell, P A Dawid, S Lauritzen, D Spiegelhalter - 1999
60 Stable Local Computation with Conditional Gaussian Distributions – Steffen L. Lauritzen, Frank Jensen - 1999
468 Learning low-level vision – William T. Freeman, Egon C. Pasztor - 2000
766 A View Of The Em Algorithm That Justifies Incremental, Sparse, And Other Variants – Radford Neal, Geoffrey E. Hinton - 1998