新規登録 | ログイン | FAQ      [?] 

タグ: bayesian_network [62 articles]

Recent papers classified by the tag bayesian_network.
  • Learning a restricted Bayesian network for object detection
    Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on, Vol. 2 (2004), pp. II-639-II-646 Vol.2.
    by H Schneiderman
    posted to bayesian_network belief_networks computational_complexity image_classification log-likelihood_ratio_function np_complete_learning_structure object_detection sparse_structure statistical_analysis statistical_dependency by wowbagger on 2006-07-11 14:39:29 as *** along with 1 person tkollar
  • Learning Equivalence Classes of Bayesian-Network Structures
    Journal of Machine Learning Research, Vol. 2 (2002), pp. 445-498.
    by David M Chickering
    posted to bayesian_network equivalence_class structure_learning by naegele on 2008-07-02 12:14:38 as ** along with 2 people and 1 group ible helsley VivesMinions
  • 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
    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
  • Gibbs Sampling in Bayesian Networks
    Artificial Intelligence, Vol. 46, No. 3. (1990), pp. 351-363.
    by Tomas Hrycej
    posted to bayesian_network gibbs by naegele on 2007-12-20 10:27:00 as **
  • 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
  • Generating Realistic Large Bayesian Networks by Tiling
    (2006), pp. 592-597.
    by Ioannis Tsamardinos, Alexander R Statnikov, Laura E Brown, Constantin F Aliferis
    edited by Geoff Sutcliffe, Randy Goebel, Geoff Sutcliffe, Randy Goebel
    posted to bayesian_network large by naegele on 2007-12-06 11:18:18 as read
  • 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
  • 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
  • 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
  • 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
  • Data Analysis with Bayesian Networks: A Bootstrap Approach
    (1999), pp. 196-205.
    by Nir Friedman, Moises Goldszmidt, Abraham Wyner
    edited by Kathryn B Laskey, Henri Prade
    posted to bayesian_network bootstrap structure_learning by naegele on 2007-12-20 10:03:00 as read along with 1 person luispedro
  • 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
  • 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
  • Adapting Bayes network structures to non-stationary domains
    International Journal of Approximate Reasoning, Vol. In Press, Uncorrected Proof
    by Soren H Nielsen, Thomas D Nielsen
    posted to bayesian_network nonstationary by naegele on 2008-04-02 13:09:51 as read
  • Combining location and expression data for principled discovery of genetic regulatory network models.
    Pacific Symposium on Biocomputing (2002), pp. 437-449.
    by AJ Hartemink, DK Gifford, TS Jaakkola, RA Young
    posted to bayesian_network regulatory_network by naegele on 2008-01-16 11:48:39 as ** along with 5 people brl ldfu wnpx noano frohike
  • 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
  • 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
  • Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks
    Machine Learning, Vol. V50, No. 1. (1 January 2003), pp. 95-125.
    by Nir Friedman, Daphne Koller
    posted to bayesian_network mcmc structure_learning by naegele on 2008-08-11 14:36:56 as ** along with 5 people and 1 group garyfeng Borelli wnpx chechetka quianominorleo ReadingLab
  • Learning Bayesian Networks
    (01 April 2003)
    by Richard E Neapolitan
    posted to bayesian_network by naegele on 2007-11-28 15:06:33 as * along with 9 people and 1 group ldfu garyfeng balicea wnpx harriscd wasteland93 quianominorleo czeller abellogin ReadingLab
  • Bayes net graphs to understand co-authorship networks?
    (2005), pp. 1-8.
    by Anna Goldenberg, Andrew W Moore
    posted to bayesian_network coauthorship graphical_model structure_learning by naegele on 2008-07-30 10:20:22 as ** along with 1 person Repton
  • MIDAS: An Influence Diagram for Management of Mildew in Winter Wheat
    (1996), pp. 349-356.
    by Allan L Jensen, Finn V Jensen
    edited by Eric Horvitz, Finn V Jensen, Eric Horvitz, Finn V Jensen
    posted to bayesian_network hailfinder by naegele on 2007-12-11 13:37:56 as *
  • Bayesian Networks for Data Mining
    Data Mining and Knowledge Discovery, Vol. V1, No. 1. (1 March 1997), pp. 79-119.
    by David Heckerman
    posted to bayesian_network by mcoloberti on 2006-12-21 10:04:00 as **
  • Causal Protein-Signaling Networks Derived from Multiparameter Single-Cell Data
    Science, Vol. 308, No. 5721. (22 April 2005), pp. 523-529.
    by Karen Sachs, Omar Perez, Dana Pe'er, Douglas A Lauffenburger, Garry P Nolan
    posted to signaling_pathways machine_learning bayesian_network by kaarsinogen on 2007-01-22 19:33:56 as ** along with 13 people and 1 group kentsis balajis rand_bayes ryang wnpx os252 j3xucite noano koller jhatrimatri cdppublications lp2 saman_vp CDP
  • Identification of co-regulated genes through Bayesian clustering of predicted regulatory binding sites.
    Nat Biotechnol, Vol. 21, No. 4. (April 2003), pp. 435-439.
    by ZS Qin, LA McCue, W Thompson, L Mayerhofer, CE Lawrence, JS Liu
    posted to bayesian_network dna_binding protein-dna_interaction by kaarsinogen on 2005-11-11 20:05:51 as ** along with 3 people balajis nklee wenhan
  • A Bayesian network approach to operon prediction.
    Bioinformatics, Vol. 19, No. 10. (1 July 2003), pp. 1227-1235.
    by J Bockhorst, M Craven, D Page, J Shavlik, J Glasner
    posted to bayesian_network operon by kaarsinogen on 2005-05-11 15:53:41 as *** along with 1 person ziquje
  • Using Bayesian networks to analyze expression data.
    J Comput Biol, Vol. 7, No. 3-4. (2000), pp. 601-620.
    by N Friedman, M Linial, I Nachman, D Pe'er
    posted to bayesian_network genetic_regulatory_network microarray_inference by heliopais on 2008-01-11 13:48:50 as **** along with 7 people brl ldfu dragonrez Schmidtc wnpx helsley srp33
  • An effective structure learning method for constructing gene networks
    Bioinformatics, Vol. 22, No. 11. (1 June 2006), pp. 1367-1374.
    by Chen, Xue-Wen, Anantha, Gopalakrishna, Wang, Xinkun
    posted to bayesian_network genetic_regulatory_network by heliopais on 2008-01-07 11:56:23 as * along with 1 person helsley
  • Fast discovery of unexpected patterns in data, relative to a Bayesian network
    (2005), pp. 118-127.
    by Szymon Jaroszewicz, Tobias Scheffer
    posted to bayesian_network fpm by feasel to the group unc_cs_eve on 2007-02-14 04:16:42 as read along with 1 person and 1 group duckysherwood UNC-FPM
  • The Backwards Arrow of Time of the Coherently Bayesian Statistical Mechanic
    (8 Nov 2004)
    by Cosma R Shalizi
    posted to bayesian_network by mattjb to the group DSTO-CAS on 2007-08-21 05:19:25 as read along with 4 people and 3 groups BrendaChng livingthingdan qwermish wnoise ComplexAdaptiveSystems livingthing Philosophy of physics
  • Extracting biology from high-dimensional biological data.
    J Exp Biol, Vol. 210, No. Pt 9. (May 2007), pp. 1507-1517.
    by J Quackenbush
    posted to bayesian_network priors text_mining by frohike on 2008-06-17 15:40:41 as ** along with 6 people jyuh balicea Sharpshoot jo_davies jfr AlexanderPico
  • Bayesian Statistics without Tears: A Sampling-Resampling Perspective
    The American Statistician, Vol. 46, No. 2. (1992), pp. 84-88.
    by AFM Smith, AE Gelfand
    posted to bayesian_network by frohike on 2008-06-17 15:44:42 as ** along with 3 people icosma abbie_riner markusd
  • A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae).
    Proc Natl Acad Sci U S A, Vol. 100, No. 14. (8 July 2003), pp. 8348-8353.
    by OG Troyanskaya, K Dolinski, AB Owen, RB Altman, D Botstein
    posted to bayesian_integration bayesian_network gene_ontology by frohike on 2008-06-25 09:01:18 as ** along with 17 people and 2 groups BioGeek serak dragonrez okarsligil lfriedl balajis eckart_bindewald eweaver luispedro opheliav wnpx nedwards Evangelia kallberg isimpson carlk srp33 kdl Bioinformatics
  • Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical Gaussian models and Bayesian networks.
    Bioinformatics (14 July 2006)
    by Adriano V V Werhli, Marco Grzegorczyk, Dirk Husmeier
    posted to bayesian_network benchmark regulatory by frohike on 2008-02-01 10:03:33 as ** along with 3 people wnpx edwardmorrissey roys
  • A Bayesian networks approach for predicting protein-protein interactions from genomic data.
    Science, Vol. 302, No. 5644. (17 October 2003), pp. 449-453.
    by R Jansen, H Yu, D Greenbaum, Y Kluger, NJ Krogan, S Chung, A Emili, M Snyder, JF Greenblatt, M Gerstein
    posted to bayesian_network protein_interaction_network by frohike on 2008-06-25 09:12:21 as ** along with 18 people and 2 groups lfriedl balajis opheliav yuval wnpx nickluscombe ruvido raiyar massivemayhem kdang dbgrant nedwards karfunkel Evangelia shung phoenixzxl penpen926 carlk kdl EBI-regulation
  • Seeded Bayesian Networks: constructing genetic networks from microarray data
    BMC Systems Biology, Vol. 2, No. 1. (2008)
    by Amira Djebbari, John Quackenbush
    posted to text_prior microarray_data_analysis data_integration bayesian_network by frohike on 2008-09-09 14:38:14 as ** along with 5 people jfr renatomilani beete phoenixzxl jyuh
  • Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems
    Journal of the Royal Statistical Society, Series B, Vol. 50, No. 2. (1988), pp. 157-224.
    by SL Lauritzen, DJ Spiegelhalter
    posted to pptc inference bayesian_network by frohike on 2008-09-10 16:05:21 as ** along with 5 people tmmurali wasteland93 sutovsky lcigler roys
  • A Bayesian approach to reconstructing genetic regulatory networks with hidden factors
    Bioinformatics, Vol. 21, No. 3. (01 February 2005), 349.
    by Matthew J Beal, Francesco Falciani, Zoubin Ghahramani, Claudia Rangel, David L Wild
    posted to bayesian_network by frohike on 2008-06-25 09:07:33 as ** along with 4 people Borelli edwardmorrissey helsley cswinburne
  • Integration of microarray and textual data improves the prognosis prediction of breast, lung and ovarian cancer patients.
    Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing (2008), pp. 279-290.
    by O Gevaert, S Van Vooren, B de Moor
    posted to bayesian_network integration literature microarray by frohike on 2008-04-07 14:49:29 as ** along with 2 people and 1 group mitko jfr Bioinformatics
  • Rich probabilistic models for gene expression.
    Bioinformatics, Vol. 17 Suppl 1 (2001)
    by E Segal, B Taskar, A Gasch, N Friedman, D Koller
    posted to bayesian_network probabilistic by frohike on 2008-06-03 10:12:39 as ** along with 3 people and 1 group lfriedl balicea wnpx kdl
  • Bayesian Orthogonal Least Squares (BOLS) algorithm for reverse engineering of gene regulatory networks
    BMC Bioinformatics, Vol. 8, No. 1. (2007)
    by Chang S Kim
    posted to bayesian_network regulatory by frohike on 2008-02-01 10:02:10 as ** along with 4 people jyuh rdiaz shigepong zwang
  • A Framework for Elucidating Regulatory Networks Based on Prior Information and Expression Data
    Annals of the New York Academy of Sciences, Vol. 1115, No. 1. (December 2007), pp. 240-248.
    by Olivier Gevaert, Steven Van Vooren, Bart De Moor
    posted to protein priors microarray integration dream bayesian_network by frohike on 2008-04-07 14:48:49 as ** along with 1 person and 1 group jyuh Bioinformatics
  • Cluster analysis of gene expression dynamics.
    Proc Natl Acad Sci U S A, Vol. 99, No. 14. (9 July 2002), pp. 9121-9126.
    by MF Ramoni, P Sebastiani, IS Kohane
    posted to bayesian_network clustering by dragonrez on 2007-06-18 19:35:42 as ** along with 2 people hms dps
  • Dynamic User Model Construction with Bayesian Networks for Intelligent Information Queries
    (1999), pp. 3-7.
    by Eugene Santos, Scott M Brown, Moises Lejter, Grace Ngai, Sheila B Banks, Martin R Stytz
    posted to bayesian_network user_model by codex on 2008-02-18 22:00:31 as read
  • An introduction to graphical models
    (2001)
    by K Murphy
    posted to bayesian_network tutorial by Borelli on 2006-07-26 19:44:20 as read along with 2 people wnpx dedrop
  • A Fast Learning Algorithm for Deep Belief Nets
    Neural Comp., Vol. 18, No. 7. (1 July 2006), pp. 1527-1554.
    by Geoffrey E Hinton, Simon Osindero, Yee-Whye Teh
    posted to bayesian_network by Borelli on 2006-11-03 09:12:13 as ** along with 8 people and 1 group zheaton garyfeng haidai dwf markcrowley marcusfrean whym Dukhat ReadingLab
  • Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks
    Bioinformatics, Vol. 22, No. 20. (15 October 2006), pp. 2523-2531.
    by Werhli, V Adriano, Grzegorczyk, Marco, Husmeier, Dirk
    posted to bayesian_network bioinformatics genomics pathway by Borelli on 2006-11-13 10:25:08 as ** along with 3 people czeller alokm roys
  • Bayesian network analysis of signaling networks: a primer.
    Sci STKE, Vol. 2005, No. 281. (26 April 2005)
    by D Pe'er
    posted to bayesian_network tutorial by Borelli on 2006-11-16 22:27:16 as ** along with 6 people ptrobajo saman_vp tmmurali ryang wnpx jhatrimatri
  • Inference in Bayesian networks
    Nature Biotechnology, Vol. 24, No. 1. (2006), pp. 51-53.
    by Chris J Needham, James R Bradford, Andrew J Bulpitt, David R Westhead
    posted to bayesian bayesian_network network by Borelli on 2006-02-13 12:12:42 as read along with 10 people and 3 groups Yanno jrw garyfeng okarsligil ddahlem lujiec kozlak jo_davies quianominorleo Pragmatist ReadingLab Bioinformatics ThinkBridge
    • 注: このページを引用する時は次のURLでどうぞ: http://www.citeulike.org/tag/bayesian_network

    Result page: 1 2 Next RIS BibTeX
    CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.