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rsantana's graphical-models [75 articles]

Recent papers added to rsantana's library classified by the tag graphical-models. You can also see everyone's graphical-models.
  • Causation, Prediction, and Search
    (08 January 2001)
    by Peter Spirtes, Clark Glymour, Richard Scheines
  • Learning Bayesian Networks From Dependency Networks: A Preliminary Study
    (Jan 3-6 2003)
    by Geoff Hulten, David M Chickering, David Heckerman
    edited by Christopher M Bishop, Brendan J Frey
    posted to graphical-models learning by rsantana on 2008-08-13 17:50:00 as read along with 1 person naegele
  • Gibbs Sampling for a Bayesian Hierarchical Version of the General Linear Mixed Model
    (18 Dec 2007)
    by Alicia A Johnson, Galin L Jones
  • 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
  • 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
  • Information theory, multivariate dependence, and genetic network inference
    (7 June 2004)
    by Ilya Nemenman
  • Bethe Free energy and contrastive divergence approximations for undirected graphical models
    (2003)
    by Y Teh
  • Factor Graphs and the Sum-Product Algorithm
    IEEETIT: IEEE Transactions on Information Theory, Vol. 47 (2001)
  • Quantum Graphical Models and Belief Propagation
    (9 Aug 2007)
    by Matthew Leifer, David Poulin
  • Mining functional modules in genetic networks with decomposable graphical models.
    OMICS, Vol. 8, No. 2. (2004), pp. 176-188.
  • Iterative join-graph propagation
    (2002)
    by R Dechter, R Mateescu, K Kask
  • Dynamic Conditional Random Fields
    by For J Labeling
  • Graphical Models (Oxford Statistical Science Series)
    (25 July 1996)
    by Steffen L Lauritzen
  • Sorting and Selection in Posets
    (10 Jul 2007)
    by Constantinos Daskalakis, Richard M Karp, Elchanan Mossel, Samantha Riesenfeld, Elad Verbin
  • Survey propagation: an algorithm for satisfiability
    (4 Apr 2006)
  • 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
  • Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence)
    (2006)
    by Martin Pelikan, Kumara Sastry, Erick Cant&\#250;-Paz
  • 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
  • Maximum Likelihood Bounded Tree-Width Markov Networks
    (2001)
    by Nathan Srebro
    posted to graphical-models markov-network tree by rsantana on 2007-05-14 19:52:43 as read along with 1 person pcarbo
  • Random Forests
    Machine Learning, Vol. 45, No. 1. (October 2001), pp. 5-32.
    by Leo Breiman
  • 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
  • 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
  • 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 ***
  • A Simple Approach for Finding
    by The G Optimal
  • Cluster graph modification problems
    Discrete Appl. Math., Vol. 144, No. 1-2. (2004), pp. 173-182.
    by Ron Shamir, Roded Sharan, Dekel Tsur
  • Generalized Belief Propagation
    (2000), pp. 689-695.
    by Jonathan S Yedidia, William T Freeman, Yair Weiss
  • 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
  • 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
  • Learning Factor Graphs in Polynomial Time and Sample Complexity
    JMLR (2006)
    by Pieter Abbeel, Daphne Koller, Andrew Y Ng
  • Algorithms for learning decomposable models and chordal graphs
    No. DECSAI 970213. (1997)
    by Luis, JF Huete
    posted to chordal-graphs graphical-models learning by rsantana on 2006-12-20 19:22:38 as **
  • Independency relationship and learning algorithms for singly connected networks
    Journal of Experimental and Theoretical Artificial Intelligence (1998), pp. 511-549.
    by Luis
    posted to graphical-models learning by rsantana on 2006-12-20 19:22:38 as **
  • Constructing Free Energy Approximations and Generalized Belief Propagation Algorithms
    IEEE Transactions on Information Theory, Vol. 51, No. 7. (2005), pp. 2282-2312.
    by JS Yedidia, WT Freeman, Y Weiss
  • Constructing Free Energy Approximations and Generalized Belief Propagation Algorithms
    No. TR-2002-35. (August 2002)
    by JS Yedidia, WT Freeman, Y Weiss
    posted to graphical-models kikuchi-approximations propagation by rsantana on 2006-12-20 19:22:37 as **
  • Approximate inference and protein-folding.
    (2003), pp. 1457-1464.
    by C Yanover, Y Weiss
    edited by S Becker, S Thrun, K Obermayer
    posted to graphical-models inference propagation protein by rsantana on 2006-12-20 19:22:37 as **
  • Graph partition strategies for generalized mean field inference
    (2004), pp. 602-610.
    by EP Xing, MI Jordan, S Russell
    posted to region-graphs inference graphical-models by rsantana on 2006-12-20 19:22:37 as **
  • A generalized mean field algorithm for variational inference in exponential families
    (2003), pp. 583-591.
    by EP Xing, MI Jordan, S Russell
    posted to graphical-models inference mean-field region-graphs by rsantana on 2006-12-20 19:22:37 as **
  • Graph partition strategies for generalized mean field inference
    No. CSD-03-1274. (2003)
    by EP Xing, MI Jordan
    posted to region-graphs mean-field inference graphical-models by rsantana on 2006-12-20 19:22:37 as **
  • On Undirected Representations of Bayesian Networks
    pp. 52-59.
    by SKM Wong, CJ Butz, D Wu
    posted to graphical-models bayesian by rsantana on 2006-12-20 19:22:37 as **
  • Variational Approximations between Mean Field Theory and the Junction Tree Algorithm
    (2000), pp. 626-633.
    by Wim Wiegerinck
    posted to region-graphs mean-field graphical-models by rsantana on 2006-12-20 19:22:37 as **
  • Graphical Models in Applied Multivariate Statistics
    (1991)
    posted to graphical-models by rsantana on 2006-12-20 19:22:37 as **
  • Graphical Models, Exponential Families, and Variational Inference
    No. 649. (September 2003)
    by MJ Wainwright, MI Jordan
    posted to graphical-models kikuchi-approximations region-graphs by rsantana on 2006-12-20 19:22:37 as **
  • Learning Mixtures of Bayesian Networks
    No. MSR-TR-97-30. (February 1997)
    posted to mixtures learning graphical-models bayesian by rsantana on 2006-12-20 19:22:37 as **
  • On Improving the Efficiency of the Iterative Proportional Fitting Procedure
    Vol. 9 (2003)
    by YW Teh, M Welling
    posted to ipf graphical-models by rsantana on 2006-12-20 19:22:36 as **
  • Decomposition by Clique Separators
    Discrete Mathematics, Vol. 55 (1985), pp. 221-232.
    by R Tarjan
    posted to graphical-models approximations by rsantana on 2006-12-20 19:22:36 as **
  • Embedded Trees: Estimation of Gaussian processes on graphs with cycles
    No. MIT LIDS Technical Report P-2562. (April 2003)
    by Erik B Sudderth, Martin J Wainwright, Alan S Willsky
    posted to graphical-models propagation tree by rsantana on 2006-12-20 19:22:36 as **
  • Causation, Prediction and Search
    Vol. 81 (1993)
    posted to learning graphical-models by rsantana on 2006-12-20 19:22:36 as **
  • Learning Bayesian networks with discrete variables from data
    (1995), pp. 294-299.
    by P Spirtes, C Meek
    posted to learning graphical-models bayesian-networks by rsantana on 2006-12-20 19:22:36 as **
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