Tag graphical_models [99 articles] Export

Recent papers classified by the tag graphical_models.

	Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data [My Copy] (2001) by John Lafferty, Andrew Mccallum, Fernando Pereira posted to random_fields probabilistic_models graphical_models by kgabani on 2009-11-26 00:05:48 as along with 3 people and 1 group albert_swart rockelegancy eddymier CIIR
	Regression on a Graph [My Copy] (10 Nov 2009) by Arne Kovac, Andrew D. A. C. Smith posted to nonparametrics graphical_models arxiv by dah on 2009-11-11 09:46:09 as
	Bayesian Learning of Measurement and Structural Models [My Copy] In Proceedings of the 23rd International Conference on Machine Learning (ICML '06) (2006), pp. 825-832. by Ricardo Silva, Richard Scheines posted to graphical_models bayesian by bsilverthorn on 2009-10-30 18:26:13 as
	A New Class of Upper Bounds on the Log Partition Function [My Copy] In In Uncertainty in Artificial Intelligence, Vol. 51 (2002), pp. 536-543. by Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky posted to partition_function graphical_models by rsabbadin to the group Modèles Graphiques UBIAT on 2009-10-29 13:07:36 as
	Bayesian inference in hidden Markov random fields for binary data defined on large lattices [My Copy] (2005) by N. Friel, A. N. Pettitt, R. Reeves, E. Wit posted to lattice_models graphical_models by rsabbadin to the group Modèles Graphiques UBIAT on 2009-10-26 08:48:19 as
	Exploiting Problem Structure for Solution Counting [My Copy] Principles and Practice of Constraint Programming - CP 2009 (2009), pp. 335-343. by Aurélie Favier, Simon de Givry, Philippe Jégou posted to graphical_models counting-csp by rsabbadin to the group Modèles Graphiques UBIAT on 2009-10-26 08:37:22 as
	A Linear Programming Approach to Max-Sum Problem: A Review [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 29, No. 7. (21 May 2007), pp. 1165-1179. by T. Werner posted to graphical_models by rsabbadin to the group Modèles Graphiques UBIAT on 2009-10-22 16:25:01 as along with 1 person ThomasSchiex
	Overlapping Stochastic Block Models [My Copy] (12 Oct 2009) by Pierre Latouche, Etienne Birmelé, Christophe Ambroise posted to misc graphical_models clustering arxiv by dah on 2009-10-13 08:21:49 as
	Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data [My Copy] In Proc. 18th International Conf. on Machine Learning (2001), pp. 282-289. by John Lafferty, Andrew Mccallum, Fernando Pereira posted to random_fields hidden_markov_models graphical_models by kabus on 2009-10-08 15:45:43 as along with 26 people and 5 groups pprett ttylenda jkominek krisl mehrbod davidr halacsy unnonouno balajis buescher76 wcohen sids j3xucite knmnyn student_t dwf bundschu johnkork koji_matsuda mkolar markusd vlachmore kohei-h oyen jmackay idornescu Information Extraction oktave-labs generif_paper Statistical Machine Learning WLV-RGCL
	Graphical Models (Oxford Statistical Science Series) [My Copy] (25 July 1996) by Steffen L. Lauritzen posted to graphical_models books by casutton on 2009-10-01 12:00:34 as along with 5 people psychorav wnpx rsantana naegele quianominorleo
	Sparse probabilistic state mapping and its application to speech bandwidth expansion [My Copy] Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on (26 May 2009), pp. 4005-4008. by K. Kalgaonkar, M. A. Clements posted to speech graphical_models bandwidth_expansion by bklynbam on 2009-09-27 02:34:00 as
	The Graphical Models Toolkit: an open source software system for speech and time-series processing [My Copy] Acoustics, Speech, and Signal Processing, 2002. Proceedings. (ICASSP '02). IEEE International Conference on, Vol. 4 (07 August 2002), pp. IV-3916-IV-3919 vol.4. by J. Bilmes, G. Zweig posted to graphical_models asr by bklynbam on 2009-09-26 10:59:31 as
	Rumors in a Network: Who's the Culprit? [My Copy] (24 Sep 2009) by Tauhid Zaman, Devavrat Shah posted to network misc graphical_models arxiv by dah on 2009-09-25 09:21:02 as
	A stochastic grammar of images [My Copy] Found. Trends. Comput. Graph. Vis., Vol. 2, No. 4. (2006), pp. 259-362. by Song C. Zhu, David Mumford posted to vision structure_learning sparse_coding probability object_detection mrfs markov_models machine_learning hierarchical_learning graphical_models grammars computer_vision appearance_models ai by markstoehr on 2009-08-29 20:04:25 as along with 5 people alexander_bauer forefinger brandyn mthomure pwais
	Latent semantic models for collaborative filtering [My Copy] ACM Trans. Inf. Syst., Vol. 22, No. 1. (January 2004), pp. 89-115. by Thomas Hofmann posted to mixture_models graphical_models collaborative_filtering application by mdreid to the group Statistical Machine Learning on 2009-08-13 01:14:47 as along with 19 people and 4 groups clickstone briordan zhaomin jamborta eastkim accessrajesh sergiolopez abellogin pprett ldietz horeis sids anon_pl macle ocelma ransombriggs imrchen zhangl adamsi Adaptive-Web CompIntelligentSystems MTG oktave-labs
	Learning in graphical models [My Copy] Vol. 19, No. 1. (2004), pp. 140-155. by Michael I. Jordan posted to graphical_models by roys on 2009-08-12 23:35:37 as along with 2 people matjes danielkcook
	Statistical ranking and combinatorial Hodge theory [My Copy] (10 Aug 2009) by Xiaoye Jiang, Lek-Heng Lim, Yuan Yao, Yinyu Ye posted to arxiv graphical_models ranking by dah on 2009-08-11 09:51:32 as along with 1 person and 1 group mdreid Statistical Machine Learning
	Multi-Label MRF Optimization via Least Squares s-t Cuts [My Copy] (1 Jul 2009) by Ghassan Hamarneh posted to approximation_algorithms computer_vision graph_theory graphical_models by shivak on 2009-07-06 05:39:58 as
	Information-theoretic limits of selecting binary graphical models in high dimensions [My Copy] (16 May 2009) by Narayana Santhanam, Martin J. Wainwright posted to graphical_models information_theory ising_model model_selection by shivak on 2009-07-02 00:27:16 as
	What Does Newcomb's Paradox Teach Us? [My Copy] Social Science Research Network Working Paper Series (16 April 2009) by Gregory Benford, David Wolpert posted to game_theory graphical_models paradoxes prediction by shivak on 2009-07-02 00:19:58 as
	Inference for graphs and networks: Extending classical tools to modern data [My Copy] (26 Jun 2009) by Benjamin P. Olding, Patrick J. Wolfe posted to arxiv graphical_models misc network by dah on 2009-06-29 09:42:25 as along with 1 person arsyed
	Percolation Thresholds of Updated Posteriors for Tracking Causal Markov Processes in Complex Networks [My Copy] (14 May 2009) by Patrick L. Harrington, Alfred O. Hero posted to arxiv graphical_models markov_model network by dah on 2009-05-15 10:01:40 as along with 1 person deanmalmgren
	Regularized estimation of large-scale gene association networks using graphical Gaussian models [My Copy] (30 Aug 2009) by Nicole Kraemer, Juliane Schaefer, Anne-Laure Boulesteix posted to arxiv graphical_models high_dimensionality lasso multivariate_normal sparsity by dah on 2009-05-06 09:21:15 as along with 1 person fastjoe23
	The geometry of conditional independence tree models with hidden variables [My Copy] (13 Apr 2009) by Piotr Zwiernik, Jim Q. Smith posted to arxiv geometry graphical_models markov_model by dah on 2009-04-14 09:32:04 as along with 1 person ematsen
	Decomposition and Model Selection for Large Contingency Tables [My Copy] (9 Apr 2009) by Corinne Dahinden, Peter Bühlmann posted to arxiv contingency_table graphical_models log_linear_model model_selection by dah on 2009-04-10 09:52:18 as
	Detection of network motifs by local concentration [My Copy] (2 Apr 2009) by Etienne Birmele posted to arxiv graphical_models sysbio by dah on 2009-04-03 09:30:37 as along with 2 people deanmalmgren Borelli
	Searching for Bayesian network structures in the space of restricted acyclic partially directed graphs [My Copy] Journal of Artificial Intelligence Research, Vol. 18 (2003), pp. 445-490. by Luis M. De Campos posted to graphical_models pdags structure_learning by roys on 2009-03-29 19:52:17 as
	Adaptive Lasso for High Dimensional Regression and Gaussian Graphical Modeling [My Copy] (13 Mar 2009) by Shuheng Zhou, Sara van de Geer, Peter Bühlmann posted to arxiv graphical_models high_dimensionality lasso model_selection multivariate_normal by dah on 2009-03-17 09:24:30 as
	Flexible covariance estimation in graphical Gaussian models [My Copy] (21 Jan 2009) by Bala Rajaratnam, Hélène Massam, Carlos M. Carvalho posted to arxiv bayes graphical_models high_dimensionality mcmc by dah on 2009-01-22 09:35:06 as
	Identification of direct residue contacts in protein–protein interaction by message passing [My Copy] Proceedings of the National Academy of Sciences, Vol. 106, No. 1. (6 January 2009), pp. 67-72. by Martin Weigt, Robert A. White, Hendrik Szurmant, James A. Hoch, Terence Hwa posted to graphical_models inference protein_protein_interactions protein_structure by hmk on 2009-01-07 06:08:31 as along with 6 people and 2 groups orr cactus haisent sobolevnrm sjcockell akraemer KeatingJClub baker-group
	An Introduction to Variational Methods for Graphical Models [My Copy] Mach. Learn., Vol. 37, No. 2. (1999), pp. 183-233. by Michael I. Jordan, Zoubin Ghahramani, Tommi S. Jaakkola, Lawrence K. Saul posted to graphical_models by ktsianos on 2008-11-17 17:40:20 as along with 8 people bertelsen ppeeling arthur ldietz Ayest wnpx wasteland93 asterix77
	Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks [My Copy] Machine Learning, Vol. 50, No. 1-2. (January 2003), pp. 95-125. by Nir Friedman, Daphne Koller posted to graphical_models learning by zeppe on 2008-10-30 16:46:22 as along with 7 people oyen markusd abhik eustatic wnpx yoh dimatura
	Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems [My Copy] Journal of the Royal Statistical Society, Series B, Vol. 50 (1988), pp. 157-224. by Steffen L. Lauritzen, David J. Spiegelhalter posted to graphical_models junction_tree by zeppe on 2008-10-23 14:48:13 as along with 7 people Viperus frohike tmmurali wasteland93 sutovsky lcigler roys
	Inference in belief networks: A procedural guide [My Copy] International Journal of Approximate Reasoning, Vol. 15, No. 3. (1996), pp. 225-263. by C. Huang, A. Darwiche posted to graphical_models junction_tree by zeppe on 2008-10-23 14:45:06 as along with 6 people espriggs markusd wnpx suizan peterhearty dcoates
	Prestructuring Neural Networks via Extended Dependency Analysis with Application to Pattern Classification [My Copy] by George G. Lendaris, Thaddeus T. Shannon, Martin Zwick posted to eda extended_dependency_analysis graphical_models structure-selection by BBoyButzemann on 2008-10-06 15:03:16 as
	Correctness of belief propagation in Gaussian graphical models of arbitrary topology. [My Copy] Neural Comput, Vol. 13, No. 10. (October 2001), pp. 2173-2200. by Y. Weiss, W. T. Freeman posted to bayes_nets belief_propagation graphical_models markov_random_fields proofs by BBoyButzemann to the group Bernstein Frankfurt on 2008-10-06 14:55:27 as along with 3 people davidr memphisphil poluxmoon
	Network inference using informative priors [My Copy] Proceedings of the National Academy of Sciences, Vol. 105, No. 38. (2008), pp. 14313-14318. by Sach Mukherjee, Terence P. Speed posted to bayesian graphical_models inference networks by markstoehr on 2008-09-29 15:11:24 as along with 10 people and 1 group zufar bertelsen ggallone guhjy Borelli ptrobajo jfr stringertheory roys tmmurali Jarman Lab
	Tropical geometry of statistical models [My Copy] Proceedings of the National Academy of Sciences of the United States of America, Vol. 101, No. 46. (16 November 2004), pp. 16132-16137. by Lior Pachter, Bernd Sturmfels posted to algebraic_geometry graphical_models hmm modelling statistics theory by mdreid to the group Statistical Machine Learning on 2008-08-12 06:43:22 as
	Building Hyper Dirichlet Processes for Graphical Models [My Copy] (22 Jul 2008) by Daniel Heinz posted to arxiv bayes graphical_models multivariate_normal by dah on 2008-07-23 10:20:10 as
	Causal inference from graphical models [My Copy] (2001) by S. Lauritzen posted to causality graphical_models by roys on 2008-07-11 18:29:29 as along with 4 people ansobol Borelli christoph_study sugarexpletive
	Probabilistic Reasoning in Intelligent Systems : Networks of Plausible Inference [My Copy] (01 September 1988) by Judea Pearl posted to bayesian_network graphical_models by naegele on 2008-06-05 12:26:38 as along with 17 people alexander_bauer psychorav rockelegancy mthomure pprett tvdbulck tdlt leidner pcarbo fheintz wnpx wasteland93 fsteeg lcigler 1like quianominorleo robotact
	Bayesian Networks and Decision Graphs [My Copy] (06 July 2001) by Finn V. Jensen posted to bayesian_network graphical_models by naegele on 2008-06-05 12:17:51 as along with 5 people and 1 group tvdbulck dariusb wnpx winschel quianominorleo Statistical Machine Learning
	Probabilistic Networks and Expert Systems (Information Science and Statistics) [My Copy] (20 May 2003) by Robert G. Cowell, Philip A. Dawid, Steffen L. Lauritzen, David J. Spiegelhalter posted to graphical_models by naegele on 2008-06-05 12:14:56 as along with 3 people namunet wnpx chechetka
	Graphical Models [My Copy] Statistical Science (Special Issue on Bayesian Statistics), Vol. 19 (2004), pp. 140-155. by Michael Jordan posted to bayesian_network graphical_models by naegele on 2008-06-04 14:49:24 as along with 2 people markusd dimatura
	Graphical Models in Applied Multivariate Statistics (Wiley Series in Probability & Statistics) [My Copy] (28 March 1990) by Joe Whittaker posted to graphical_models by naegele on 2008-06-03 16:14:07 as along with 1 person wnpx
	Using process diagrams for the graphical representation of biological networks [My Copy] Nat Biotech, Vol. 23, No. 8. (04 August 2005), pp. 961-966. by Hiroaki Kitano, Akira Funahashi, Yukiko Matsuoka, Kanae Oda posted to graphical_models pathway_analysis by srp33 on 2008-05-17 16:06:34 as along with 8 people antonkratz lflorez dullhunk massivemayhem maralena pmendes csanford lenov
	Blazing Pathways Through Genetic Mountains [My Copy] Science, Vol. 293, No. 5537. (14 September 2001), pp. 2049-2051. by David K. Gifford posted to graphical_models pathway_analysis by srp33 on 2008-05-17 16:04:52 as
	Co-clustering of biological networks and gene expression data [My Copy] Bioinformatics, Vol. 18, No. suppl_1. (1 July 2002), pp. S145-154. by Daniel Hanisch, Alexander Zien, Ralf Zimmer, Thomas Lengauer posted to graphical_models by srp33 on 2008-05-17 16:00:16 as along with 4 people poirel saket chad_davis carlk
	Inferring Cellular Networks Using Probabilistic Graphical Models [My Copy] Science, Vol. 303, No. 5659. (6 February 2004), pp. 799-805. by Nir Friedman posted to graphical_models by srp33 on 2008-05-17 15:51:50 as along with 24 people and 2 groups antonkratz jxl phoenixzxl abhishek_tiwari richardbickerton ruichu ggallone bertelsen ldfu ujh lfriedl opheliav ryang wnpx nirfriedman neveaire koller helsley dimatura edwardmorrissey vietanh0 Yumyai saman_vp jo_davies Jarman Lab kdl
	An empirical Bayes approach to inferring large-scale gene association networks [My Copy] Bioinformatics, Vol. 21, No. 6. (15 March 2005), pp. 754-764. by Juliane Schafer, Korbinian Strimmer posted to empirical_bayes graphical_models by srp33 on 2008-05-17 15:49:33 as along with 5 people abhishek_tiwari mqbphcw3 capitall jo_davies Borelli

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