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Tag graphical-models [104 articles]

Recent papers classified by the tag graphical-models.
  • Tree-based reparameterization framework for analysis of sum-product and related algorithms
    Information Theory, IEEE Transactions on, Vol. 49, No. 5. (2003), pp. 1120-1146.
  • Efficient Training of Conditional Random Fields
    (2002)
    by Hanna Wallach
  • Markov random field modeling for speech recognition
    (1998)
    posted to graphical-models speech-recognition by whym on 2007-06-13 11:12:12 as **
  • Semi-Markov Conditional Random Fields for Information Extraction
    by Sunita Sarawagi, William W Cohen
  • notes Morphology-based language modeling for conversational Arabic speech recognition
    Computer Speech & Language, Vol. 20, No. 4. (October 2006), pp. 589-608.
    by Katrin Kirchhoff, Dimitra Vergyri, Jeff Bilmes, Kevin Duh, Andreas Stolcke
    posted to backoff graphical-models language-modeling by whym on 2008-02-19 02:41:31 as *** along with 1 person dah44
  • Latent dirichlet allocation
    Journal of Machine Learning Research, Vol. 3 (2003), pp. 993-1022.
    by David M Blei, Andrew Y Ng, Michael I Jordan
  • Strong Markov Random Field Model
    by Rupert Paget
    posted to graphical-models machine-learning maximum-entropy by whym on 2007-05-29 23:58:20 as **
  • notes Inducing Features of Random Fields
    IEEE Trans. Pattern Anal. Mach. Intell., Vol. 19, No. 4. (April 1997), pp. 380-393.
    by Stephen Della Pietra, Vincent Della Pietra, John Lafferty
  • Gibbs Sampling for a Bayesian Hierarchical Version of the General Linear Mixed Model
    (18 Dec 2007)
    by Alicia A Johnson, Galin L Jones
    posted to graphical-models by whym on 2008-04-14 14:27:48 as ** along with 3 people dah ansobol rsantana
  • An empirical Bayes approach to inferring large-scale gene association networks.
    Bioinformatics, Vol. 21, No. 6. (March 2005), pp. 754-764.
  • Causal diagrams for epidemiologic research.
    Epidemiology, Vol. 10, No. 1. (January 1999), pp. 37-48.
    by S Greenland, J Pearl, JM Robins
    posted to graphical-models by StatAnika on 2007-11-22 16:16:17 as **** along with 1 person mariliasa
  • On the criteria to be used in decomposing systems into modules
    Communications of the ACM, Vol. 15, No. 12. (December 1972), pp. 1053-1058.
    by DL Parnas
    edited by R Morris
  • Graphical Models (Oxford Statistical Science Series)
    (25 July 1996)
    by Steffen L Lauritzen
  • Survey propagation: an algorithm for satisfiability
    (4 Apr 2006)
  • Mixture Approximations to Bayesian Networks
    by Morgan K Publishers
    posted to bayesian graphical-models mixtures by rsantana on 2007-03-09 10:19:11 as ** along with 1 person ldfu
  • Quantum Graphical Models and Belief Propagation
    (9 Aug 2007)
    by Matthew Leifer, David Poulin
  • Information theory, multivariate dependence, and genetic network inference
    (7 June 2004)
    by Ilya Nemenman
  • Iterative join-graph propagation
    (2002)
    by R Dechter, R Mateescu, K Kask
  • Dynamic Conditional Random Fields
    by For J Labeling
  • Sorting and Selection in Posets
    (10 Jul 2007)
    by Constantinos Daskalakis, Richard M Karp, Elchanan Mossel, Samantha Riesenfeld, Elad Verbin
  • Cluster graph modification problems
    Discrete Appl. Math., Vol. 144, No. 1-2. (2004), pp. 173-182.
    by Ron Shamir, Roded Sharan, Dekel Tsur
  • Informed Dynamic Scheduling for Belief-Propagation Decoding of LDPC Codes
    Communications, 2007. ICC '07. IEEE International Conference on (2007), pp. 932-937.
    by AIV Casado, M Griot, RD Wesel
    posted to graphical-models inference propagation by rsantana on 2008-02-18 09:52:29 as ** along with 1 person pcarbo
  • Embracing Statistical Challenges in the Information Technology Age
    Technometrics, Vol. 49, No. 3. (August 2007), pp. 237-248.
    by Yu, Bin
    posted to graphical-models learning by rsantana on 2008-03-14 16:56:28 as ***** along with 1 person davidr
  • Constructing free-energy approximations and generalized belief propagation algorithms
    Information Theory, IEEE Transactions on, Vol. 51, No. 7. (2005), pp. 2282-2312.
    by JS Yedidia, WT Freeman, Y Weiss
  • Mining functional modules in genetic networks with decomposable graphical models.
    OMICS, Vol. 8, No. 2. (2004), pp. 176-188.
  • Factor Graphs and the Sum-Product Algorithm
    IEEETIT: IEEE Transactions on Information Theory, Vol. 47 (2001)
  • Cluster variation method in statistical physics and probabilistic graphical models
    Journal of Physics A: Mathematical and General, Vol. 38, No. 33. (19 August 2005), pp. R309-R339.
    by Alessandro Pelizzola
  • A Simple Approach for Finding
    by The G Optimal
  • Predicting Protein Folds with Structural Repeats Using a Chain Graph Model
    by Yan Liu, Eric P Xing, Jaime Carbonell
    posted to graphical-models protein by rsantana on 2007-04-03 10:42:35 as ***
  • Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition
    by Yan Liu, Jaime Carbonell, Peter Weigele, Vanathi Gopalakrishnan
    posted to factor-graphs graphical-models protein by rsantana on 2007-04-03 10:41:47 as ***
  • Bethe Free energy and contrastive divergence approximations for undirected graphical models
    (2003)
    by Y Teh
  • Understanding belief propagation and its generalizations
    (2003), pp. 239-269.
    by Jonathan S Yedidia, William T Freeman, Yair Weiss
  • Factor graphs and the sum-product algorithm
    Information Theory, IEEE Transactions on, Vol. 47, No. 2. (2001), pp. 498-519.
    by FR Kschischang, BJ Frey, HA Loeliger
  • Generalized Belief Propagation
    (2000), pp. 689-695.
    by Jonathan S Yedidia, William T Freeman, Yair Weiss
  • Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence)
    (2006)
    by Martin Pelikan, Kumara Sastry, Erick Cant&\#250;-Paz
  • Information Theory, Inference & Learning Algorithms
    (15 June 2002)
    by David JC Mackay
  • Estimating Continuous Distributions in Bayesian Classifiers
    pp. 338-345.
    by George H John, Pat Langley
  • Learning Gaussian Networks
    No. MSR-TR-94-10. (1994)
    by Dan Geiger, David Heckerman
  • On Bayesian Analysis of Mixtures with an Unknown Number of Components
    by Sylvia Richardson, Peter J Green
    posted to graphical-models mcmc rjmcmc by pcarbo on 2007-04-26 02:51:07 as **
  • A new class of upper bounds on the log partition function
    Information Theory, IEEE Transactions on, Vol. 51, No. 7. (2005), pp. 2313-2335.
  • Probabilistic Reasoning in Intelligent Systems : Networks of Plausible Inference
    (01 September 1988)
    by Judea Pearl
  • MAP estimation via agreement on trees: message-passing and linear programming
    Information Theory, IEEE Transactions on, Vol. 51, No. 11. (2005), pp. 3697-3717.
  • Learning Markov networks: maximum bounded tree-width graphs
    (2001), pp. 392-401.
    by David Karger, Nathan Srebro
    posted to graphical-models by pcarbo on 2007-04-23 03:28:46 as read
  • Inference of Population Structure Using Multilocus Genotype Data
    Genetics, Vol. 155, No. 2. (1 June 2000), pp. 945-959.
    by Jonathan K Pritchard, Matthew Stephens, Peter Donnelly
  • Iterative decoding of compound codes by probability propagation in graphical models
    Selected Areas in Communications, IEEE Journal on, Vol. 16, No. 2. (1998), pp. 219-230.
    by FR Kschischang, BJ Frey
    posted to belief-propagation graphical-models information-theory by pcarbo on 2007-04-27 01:15:32 as **
  • Good error-correcting codes based on very sparse matrices
    Information Theory, IEEE Transactions on, Vol. 45, No. 2. (1999), pp. 399-431.
    by DJC Mackay
  • On conditional and intrinsic autoregressions
    Biometrika, Vol. 82, No. 4. (1 December 1995), pp. 733-746.
    by Julian Besag, Charles Kooperberg
    posted to graphical-models by pcarbo on 2006-04-13 07:26:46 as **
  • Approximating discrete probability distributions with dependence trees
    Information Theory, IEEE Transactions on, Vol. 14, No. 3. (1968), pp. 462-467.
    by C Chow, C Liu
  • Turbo decoding as an instance of Pearl's “belief propagation” algorithm
    Selected Areas in Communications, IEEE Journal on, Vol. 16, No. 2. (1998), pp. 140-152.
    by RJ Mceliece, DJC Mackay, Jung-Fu Cheng
    posted to belief-propagation graphical-models information-theory by pcarbo on 2007-04-27 00:51:27 as **
  • A new look at survey propagation and its generalizations
    (2005), pp. 1089-1098.
    by Elitza Maneva, Elchanan Mossel, Martin J Wainwright
    posted to belief-propagation graphical-models variational-methods by pcarbo on 2006-02-22 18:29:32 as **
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