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naegele bayesian_network [39 articles]

最近 naegele さんのライブラリに追加された論文の中から タグ bayesian_network. You can also see everyone's bayesian_network.
  • Learning Bayesian networks from postgenomic data with an improved structure MCMC sampling scheme
    (March 2008)
    by Marco Grzegorczyk, Dirk Husmeier
    posted to bayesian_network mcmc by naegele on 2008-08-19 13:07:27 as **
  • 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
  • Bayesian Integration of Biological Prior Knowledge into the Reconstruction of Gene Regulatory Networks with Bayesian Networks
    Vol. 6 (2007), pp. 85-95.
    by Dirk Husmeier, Adriano V Werhli
    edited by Y Xu, P Markstein
    posted to bayesian_network genetic_network mcmc by naegele on 2008-08-08 14:25:18 as **
  • 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
  • Constraint-Based Structural Learning in Bayesian Networks using Finite Data Sets
    (18 May 2001)
    by Harald Steck
    posted to bayesian_network constraint structure_learning by naegele on 2008-07-11 14:19:52 as **
  • Causal Inference and Causal Explanation with Background Knowledge
    (August 1995), pp. 403-441.
    by Christopher Meek
    edited by Philippe Besnard, Steve Hanks
    posted to bayesian_network causality dag by naegele on 2008-07-10 13:50:54 as **
  • Bayesian Network Induction via Local Neighborhoods
    (2000), pp. 505-511.
    by Dimitris Margaritis, Sebastian Thrun
    edited by Sara A Solla, Todd K Leen, Klaus-Robert Müller
    posted to bayesian_network machine_learning markov by naegele on 2008-07-07 12:37:39 as **
  • 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
  • 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
  • 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
  • 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
  • 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 **
  • 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
  • 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 *
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures
    Vol. 4701 (September 2007), pp. 238-249.
    by Andreas Nägele, Mathäus Dejori, Martin Stetter
    edited by Joost N Kok, Jacek Koronacki, Ramon L de Mántaras, Stan Matwin, Dunja Mladenic, Andrzej Skowron
    posted to bayesian_network graphical_models machine_learning own_publication structure_learning by naegele on 2007-09-05 10:31:57 as read along with 1 person and 2 groups rsantana ic4 generif_paper
  • "Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks
    Journal of Machine Learning Research, Vol. 8 (August 2007), pp. 1799-1833.
    by Gal Elidan, Iftach Nachman, Nir Friedman
    posted to bayesian_network continous_variables graphical_models machine_learning structure_learning by naegele on 2007-09-04 08:36:58 as **** along with 1 person and 1 group tdanford ic4
  • The ALARM Monitoring System: A Case Study with Two Probabilistic Inference Techniques for Belief Networks
    Vol. 38 (1989), pp. 247-256.
    by IA Beinlich, HJ Suermondt, RM Chavez, GF Cooper
    edited by J Hunter, J Cookson, J Wyatt
    posted to alarm bayesian_network by naegele on 2007-09-03 16:53:17 as read along with 1 person and 1 group michen ic4
  • Adaptive Probabilistic Networks with Hidden Variables
    Machine Learning, Vol. 29, No. 2-3. (1997), pp. 213-244.
    by John Binder, Daphne Koller, Stuart Russell, Keiji Kanazawa
    posted to bayesian_network insurance by naegele on 2007-09-03 16:53:17 as read along with 1 group ic4
  • The Bayesian structural EM algorithm
    (1998), pp. 129-138.
    by Nir Friedman
    edited by GF Cooper, S Moral
    posted to bayesian_network machine_learning structure_learning by naegele on 2007-09-03 16:53:17 as read along with 1 group ic4
  • Learning Belief Networks in the Presence of Missing Values and Hidden Variables
    (1997), pp. 125-133.
    by Nir Friedman
    edited by Douglas H Fisher
    posted to bayesian_network missing_variables structure_learning by naegele on 2007-09-03 16:53:17 as read along with 1 group ic4
  • A Bayesian method for constructing Bayesian belief networks from databases
    (1991), pp. 86-94.
    by Gregory F Cooper, Edward Herskovits
    edited by GF Cooper, S Moral
    posted to bayesian_network structure_learning by naegele on 2007-09-03 16:53:17 as read along with 1 group ic4
  • Learning Bayesian Network Structure from Massive Datasets: The ”Sparse Candidate” Algorithm
    (1999), pp. 206-215.
    by Nir Friedman, Iftach Nachman, Dana Pe'er
    edited by Kathryn B Laskey, Henri Prade
    posted to bayesian_network machine_learning structure_learning by naegele on 2007-09-03 16:53:17 as read along with 1 group ic4
  • Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
    Machine Learning, Vol. 20, No. 3. (1995), pp. 197-243.
    by David Heckerman, Dan Geiger, David M Chickering
    posted to bayesian_network structure_learning by naegele on 2007-09-03 16:53:17 as read along with 1 group ic4
  • A Transformational Characterization of Equivalent Bayesian Network Structures
    (1995), pp. 87-98.
    by David M Chickering
    edited by Philippe Besnard, Steve Hanks
    posted to bayesian_network equivalence_class by naegele on 2007-09-03 16:53:17 as read along with 1 group ic4
  • Equivalence and synthesis of causal models
    (1990), pp. 255-268.
    by Thomas S Verma, Judea Pearl
    edited by PP Bonissone, M Henrion, LN Kanal, JF Lemmer
    posted to bayesian_network equivalence_class by naegele on 2007-09-03 16:53:17 as read along with 1 group ic4
  • Using Bayesian networks to analyze expression data
    (2000), pp. 127-135.
    by Nir Friedman, Michal Linial, Iftach Nachman, Dana Pe'er
    edited by Ron Shamir, Satoru Miyano, Sorin Istrail, Pavel Pevzner, Michael Waterman
    posted to bayesian_network regulatory_network systems_biology by naegele on 2007-09-03 16:53:17 as read along with 1 group ic4
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