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タグ: graphical_models [67 articles]

Recent papers classified by the tag graphical_models.
  • Understanding belief propagation and its generalizations
    (2003), pp. 239-269.
    by Jonathan S Yedidia, William T Freeman, Yair Weiss
    posted to graphical_models machine_learning by zeppe on 2008-02-01 16:05:57 as read along with 7 people bhaddow dowlingj rsantana ElQuijote42 lcigler mmcgloho matjes
  • Training Products of Experts by Minimizing Contrastive Divergence
    Neural Comp., Vol. 14, No. 8. (1 August 2002), pp. 1771-1800.
    by Geoffrey E Hinton
    posted to graphical_models learning by zeppe on 2008-01-09 14:38:37 as ** along with 2 people and 1 group zheaton bpacker vision-ng
  • Object Recognition via Local Patch Labelling
    Deterministic and Statistical Methods in Machine Learning (2005), pp. 1-21.
    by Christopher Bishop, Ilkay Ulusoy
    posted to graphical_models image_classification image_labelling machine_learning by zeppe on 2007-06-06 12:22:14 as read
  • Man-made structure detection in natural images using a causal multiscale random field
    Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on, Vol. 1 (2003), pp. 119-126.
    by S Kumar, M Hebert
    posted to features graphical_models image_classification by zeppe on 2007-06-01 12:19:45 as **
  • Generative versus Discriminative Methods for Object Recognition
    (2005), pp. 258-265.
    by Ilkay Ulusoy, Christopher M Bishop
    posted to conditional_random_fields graphical_models by zeppe on 2008-03-18 19:59:36 as ** along with 1 person markusd
  • Latent Dirichlet allocation
    (2002)
    by D Blei, A Ng, M Jordan
    posted to graphical_models by viditjain on 2006-02-25 00:06:12 as *** along with 13 people and 4 groups pdlug jekky jeonghochang mshafiei llamerada anon_pl bayes bhaddow koji_matsuda ehohman cbosuna markusd avulanov CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
  • Probabilistic Latent Semantic Analysis
    (1999)
    by Thomas Hofmann
    posted to graphical_models by viditjain on 2006-02-25 00:06:47 as read along with 12 people and 5 groups davidr takeha-e jekky omo anon_pl bundschu jsun iansimon telnet2 phlow ejmeij adamsi CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR LanguageModeling
  • Inferring cellular networks using probabilistic graphical models.
    Science, Vol. 303, No. 5659. (6 February 2004), pp. 799-805.
    by N Friedman
    posted to graphical_models by srp33 on 2008-05-17 15:51:50 as ** along with 17 people and 1 group bertelsen ldfu ujh lfriedl opheliav ryang wnpx nirfriedman neveaire koller helsley dimatura edwardmorrissey vietanh0 Yumyai saman_vp jo_davies kdl
  • Blazing Pathways Through Genetic Mountains
    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 **
  • Sparse graphical models for exploring gene expression data
    Journal of Multivariate Analysis, Vol. 90, No. 1. (July 2004), pp. 196-212.
    by Adrian Dobra, Chris Hans, Beatrix Jones, Nevins, Guang Yao, Mike West
    posted to graphical_models by srp33 on 2008-05-17 15:47:18 as ** along with 2 people csgillespie jo_davies
  • Using process diagrams for the graphical representation of biological networks
    Nature Biotechnology, 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 6 people dullhunk massivemayhem maralena pmendes csanford lenov
  • An empirical Bayes approach to inferring large-scale gene association networks
    Bioinformatics, Vol. 21, No. 6. (15 March 2005), pp. 754-764.
    by Schafer Juliane, Strimmer Korbinian
    posted to empirical_bayes graphical_models by srp33 on 2008-05-17 15:49:33 as ** along with 3 people jo_davies gabe_rosser Borelli
  • Co-clustering of biological networks and gene expression data.
    Bioinformatics, Vol. 18 Suppl 1 (2002)
    by D Hanisch, A Zien, R Zimmer, T Lengauer
    posted to graphical_models by srp33 on 2008-05-17 16:00:16 as ** along with 2 people chad_davis carlk
  • Causal inference from graphical models
    (2001)
    by S Lauritzen
    posted to causality graphical_models by roys on 2008-07-11 18:29:29 as ** along with 1 person sugarexpletive
  • Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems
    by SL Lauritzen, DJ Spiegelhalter
    posted to graphical_gaussian graphical_models mrf by roys on 2008-05-01 03:23:40 as ** along with 5 people frohike tmmurali wasteland93 sutovsky lcigler
  • Learning Probabilistic Relational Models
    (1999), pp. 1300-1309.
    by Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer
    posted to bayesian_networks graphical_models prm statistical_relational_models by roys on 2007-11-06 05:07:53 as ** along with 7 people weimer wnpx tvdbulck Maderlock ichbins81 krokicki sboisen
  • Being Bayesian about Network Structure
    (2000), pp. 201-210.
    by Nir Friedman, Daphne Koller
    posted to bayesian_networks graphical_models structure_learning by roys on 2008-03-14 02:23:21 as **
  • Independence properties of directed markov fields
    Networks, Vol. 20, No. 5. (1990), pp. 491-505.
    by SL Lauritzen, AP Dawid, BN Larsen, HG Leimer
    posted to graphical_models markov_networks by roys on 2008-01-24 05:52:18 as **
  • The max-min hill-climbing Bayesian network structure learning algorithm
    Machine Learning, Vol. 65, No. 1. (October 2006), pp. 31-78.
    by Ioannis Tsamardinos, Laura E Brown, Constantin Aliferis
    posted to bayesian_network graphical_models machine_learning structure_learning by naegele on 2007-11-28 14:38:58 as read along with 2 people pliz dhein1030
  • Graphical Models
    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 1 person dimatura
  • Growing Bayesian network models of gene networks from seed genes.
    Bioinformatics, Vol. 21 Suppl 2 (1 September 2005)
    by JM Peña, J Björkegren, J Tegnér
    posted to bayesian_network gene_expression genetic_network graphical_models machine_learning microarray regulatory_network structure_learning systems_biology by naegele on 2007-10-19 15:39:43 as ** along with 5 people and 1 group abhik imouthesmp wnpx ramakris heliopais ic4
  • Modularized learning of genetic interaction networks from biological annotations and mRNA expression data
    Bioinformatics, Vol. 21, No. 11. (1 June 2005), pp. 2739-2747.
    by Phil H Lee, Doheon Lee
    posted to bayesian_network gene_expression genetic_network graphical_models machine_learning microarray regulatory_network structure_learning systems_biology by naegele on 2007-11-14 13:20:21 as read along with 5 people beete saman_vp patrycja_missiuro roys tvdbulck
  • Probabilistic Reasoning in Intelligent Systems : Networks of Plausible Inference
    (01 September 1988)
    by Judea Pearl
    posted to bayesian_network graphical_models by naegele on 2008-06-05 12:26:38 as ** along with 11 people tdlt leidner pcarbo fheintz wnpx wasteland93 fsteeg lcigler 1like quianominorleo robotact
  • Dependency networks for inference, collaborative filtering, and data visualization
    J. Mach. Learn. Res., Vol. 1 (2001), pp. 49-75.
    by David Heckerman, David M Chickering, Christopher Meek, Robert Rounthwaite, Carl Kadie
    posted to bayesian collaborative_filtering dependency_network graphical_models by naegele on 2008-01-07 12:52:08 as read along with 5 people and 2 groups pliz knowlengr bsowell ransombriggs rlai MITCCI DarkMarkGroup
  • Causation, Prediction, and Search
    (08 January 2001)
    by Peter Spirtes, Clark Glymour, Richard Scheines
    posted to bayesian_network graphical_models by naegele on 2007-11-28 15:19:45 as read along with 4 people wnpx chechetka frohike rsantana
  • Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining
    Decision Support Systems, Vol. 43, No. 4. (August 2007), pp. 1207-1225.
    by Zan Huang, Jiexun Li, Hua Su, George S Watts, Hsinchun Chen
    posted to association_rule_mining bayesian_network genetic_network graphical_models machine_learning microarray regulatory_network systems_biology by naegele on 2007-11-12 09:24:45 as read
  • 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 bayesian_network dependency_network graphical_models by naegele on 2008-01-07 13:00:17 as read along with 1 person rsantana
  • A hybrid Bayesian network learning method for constructing gene networks.
    Comput Biol Chem, Vol. 31, No. 5--6. (19 August 2007), pp. 361-372.
    by Mingyi Wang, Zuozhou Chen, Sylvie Cloutier
    posted to bayesian_network genetic_network graphical_models machine_learning regulatory_network structure_learning systems_biology by naegele on 2007-11-12 09:10:05 as ***** along with 2 people ramakris julianjonker
  • Bayesian Networks and Decision Graphs
    (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
  • Graphical Models in Applied Multivariate Statistics (Wiley Series in Probability & Statistics)
    (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
  • Improving Markov Chain Monte Carlo Model Search for Data Mining
    Machine Learning, Vol. 50, No. 1. (1 January 2003), pp. 127-158.
    by Paolo Giudici, Robert Castelo
    posted to bayesian_network graphical_models machine_learning mcmc structure_learning by naegele on 2007-11-14 09:10:51 as **** along with 1 person helsley
  • A novel algorithm for scalable and accurate Bayesian network learning.
    Medinfo, Vol. 11, No. Pt 1. (2004), pp. 711-715.
    by LE Brown, I Tsamardinos, CF Aliferis
    posted to bayesian_network graphical_models machine_learning structure_learning by naegele on 2007-09-06 10:26:16 as read along with 2 people and 2 groups gangli ramakris tulip ic4
  • Graphical Models
    (25 July 1996)
    by Steffen L Lauritzen
    posted to graphical_models by naegele on 2008-06-05 12:22:59 as ** along with 3 people wnpx rsantana quianominorleo
  • Probabilistic Networks and Expert Systems (Information Science and Statistics)
    (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 2 people wnpx chechetka
  • Tropical geometry of statistical models
    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 on 2008-08-12 06:43:22 as ** along with 1 group Statistical Machine Learning
  • Network inference using informative priors
    Proceedings of the National Academy of Sciences, Vol. 105, No. 38. (2008), pp. 14313-14318.
    by Sach Mukherjee, Terence P Speed
    posted to networks inference graphical_models bayesian by markstoehr on 2008-09-29 15:11:24 as ** along with 3 people stringertheory roys tmmurali
  • An Introduction to Variational Methods for Graphical Models
    Machine Learning, Vol. 37, No. 2. (1999), pp. 183-233.
    by Michael I Jordan, Zoubin Ghahramani, Tommi Jaakkola, Lawrence K Saul
    posted to graphical_models statistical_learning statistics variational_methods by jsr on 2008-03-24 12:40:39 as ** along with 7 people mukundn wnpx jvangael alad phitastic pythia2k ecome
  • Computational design of antibody-affinity improvement beyond in vivo maturation.
    Nat Biotechnol (23 September 2007)
    by Shaun M M Lippow, K Dane D Wittrup, Bruce Tidor
    posted to data free_energy graphical_models protein_design protein_fold protein_structure by hmk on 2007-10-31 14:06:33 as ***** along with 1 person and 1 group zwang group
  • Construction of effective free energy landscape from single-molecule time series
    Proceedings of the National Academy of Sciences, Vol. 104, No. 49. (4 December 2007), pp. 19297-19302.
    by Akinori Baba, Tamiki Komatsuzaki
    posted to free_energy graphical_models protein_folding protein_structure by hmk on 2007-12-07 03:49:47 as ** along with 6 people and 1 group zwang cactus sobolevnrm Diego_Prada arnaudriegert hsekiguc baker-group
  • Graphical models of residue coupling in protein families
    (2005), pp. 12-20.
    by John Thomas, Naren Ramakrishnan, Chris Bailey-Kellogg
    posted to protein_structure graphical_models by hmk on 2007-01-26 16:03:43 as ** along with 1 group Dartmouth Computer Science
  • Protein Free Energy Landscapes Remodeled by Ligand Binding
    Biophys. J., Vol. 93, No. 2. (15 July 2007), pp. 579-585.
    by Troy C Messina, David S Talaga
    posted to free_energy graphical_models protein_folding protein_structure by hmk on 2007-12-07 03:46:10 as **
  • Coarse-Grained Biomolecular Simulation with REACH: Realistic Extension Algorithm via Covariance Hessian
    Biophys. J., Vol. 93, No. 10. (15 November 2007), pp. 3460-3469.
    by Kei Moritsugu, Jeremy C Smith
    posted to alternatives graphical_models molecular_dynamics protein_folding by hmk on 2007-12-09 03:09:17 as ** along with 3 people and 1 group aqeel sobolevnrm choonpeng baker-group
  • Sampling Realistic Protein Conformations Using Local Structural Bias.
    PLoS Comput Biol, Vol. 2, No. 9. (22 September 2006)
    by Thomas Hamelryck, John T T Kent, Anders Krogh
    posted to free_energy graphical_models protein_fold protein_structure statistics by hmk on 2007-10-31 17:54:26 as ***** along with 2 people wouterboomsma j3xucite
  • Design of a novel globular protein fold with atomic-level accuracy.
    Science, Vol. 302, No. 5649. (21 November 2003), pp. 1364-1368.
    by B Kuhlman, G Dantas, GC Ireton, G Varani, BL Stoddard, D Baker
    posted to graphical_models molecular_mechanics physics protein_structure by hmk on 2007-03-14 01:23:38 as ** along with 5 people jwm chad_davis heymiki kevinchannon ca3295
  • The atomic structure of protein-protein recognition sites
    Journal of Molecular Biology, Vol. 285, No. 5. (5 February 1999), pp. 2177-2198.
    by Loredana L Conte, Cyrus Chothia, Joel Janin
    posted to data free_energy graphical_models protein_protein_interactions by hmk on 2008-03-15 22:31:01 as **
  • The Cluster Variation Method for Efficient Linkage Analysis on Extended Pedigrees
    BMC Bioinformatics, Vol. 7, No. Suppl 1. (2006)
    by Cornelis Albers, Martijn Leisink, Hilbert Kappen
    posted to free_energy graphical_models by hmk on 2007-03-07 02:40:46 as **
  • A consensus view of protein dynamics.
    Proc Natl Acad Sci U S A (10 January 2007)
    by Manuel Rueda, Carles Ferrer-Costa, Tim Meyer, Alberto Pérez, Jordi Camps, Adam Hospital, Josep Lluis L Gelpí, Modesto Orozco
    posted to data dynamics graphical_models molecular_dynamics by hmk on 2007-12-09 02:49:20 as ** along with 13 people and 2 groups bmduggan lna dimka aqeel aswin rabio grahamc zwang biehl Ema phoenixzxl ras LamBras ParkinsonLab_at_MaRS The BMM Dome
  • Streptavidin Tetramerization and 2D Crystallization: A Mean-Field Approach
    Biophys. J., Vol. 80, No. 4. (1 April 2001), pp. 2004-2010.
    by T Coussaert, AR Volkel, J Noolandi, AP Gast
    posted to free_energy graphical_models inference protein_structure by hmk on 2007-03-09 00:01:52 as **
  • Recognition of errors in three-dimensional structures of proteins.
    Proteins, Vol. 17, No. 4. (December 1993), pp. 355-362.
    by MJ Sippl
    posted to decoy_detection free_energy graphical_models by hmk on 2007-04-28 23:50:26 as ** along with 1 person chad_davis
  • Low-dimensional, free-energy landscapes of protein-folding reactions by nonlinear dimensionality reduction
    PNAS, Vol. 103, No. 26. (27 June 2006), pp. 9885-9890.
    by Payel Das, Mark Moll, Hernan Stamati, Lydia E Kavraki, Cecilia Clementi
    posted to dynamics free_energy graphical_models protein_folding by hmk on 2007-12-06 00:10:32 as ** along with 2 people and 2 groups samjlord sobolevnrm moernerlab baker-group
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