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wnpx's Koller [23 articles]

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  • From promoter sequence to expression: a probabilistic framework
    (2002), pp. 263-272.
    by Eran Segal, Yoseph Barash, Itamar Simon, Nir Friedman, Daphne Koller
    posted to dt probabilistic by wnpx on 2007-10-18 04:49:45 as **
  • Module Networks: Discovering Regulatory Modules and their Condition Specific Regulators from Gene Expression Data
    by Eran Segal, Michael Shapira, Aviv Regev, Dana Pe'er, David Botstein, Daphne Koller, Nir Friedman
    posted to bayesian gene modeule network regulation by wnpx on 2007-06-11 07:20:10 as ** along with 2 people dimatura lp2
  • Link prediction in relational data
    (2004)
    by B Taskar, M Wong, P Abbeel, D Koller
    posted to markov network prm probabilistic by wnpx on 2006-12-07 19:47:19 as ** along with 2 people donade roys
  • 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 structure by wnpx on 2006-11-17 06:16:03 as **** along with 5 people and 1 group garyfeng Borelli chechetka quianominorleo naegele ReadingLab
  • Local Learning in Probabilistic Networks with Hidden Variables
    (1995), pp. 1146-1152.
    by Stuart J Russell, John Binder, Daphne Koller, Keiji Kanazawa
    posted to learning network probabilistic by wnpx on 2006-08-24 18:37:38 as ** along with 3 people anon_pl wlyu2001 luispedro
  • Probabilistic Classification and Clustering in Relational Data
    (2001), pp. 870-878.
    by Benjamin Taskar, Eran Segal, Daphne Koller
    edited by Bernhard Nebel
    posted to clustering relational by wnpx on 2006-07-30 17:08:07 as ** along with 1 person ichbins81
  • Active Learning for Structure in Bayesian Networks
    (2001)
    by S Tong, D Koller
    posted to active bayesian learning nework structurelearning by wnpx on 2006-07-30 16:48:10 as ** along with 2 people anon_pl helsley
  • A Gene-Coexpression Network for Global Discovery of Conserved Genetic Modules
    Science, Vol. 302, No. 5643. (10 October 2003), pp. 249-255.
    by Joshua M Stuart, Eran Segal, Daphne Koller, Stuart K Kim
    posted to gene module network by wnpx on 2006-07-30 16:45:34 as ** along with 19 people and 7 groups saket pengchy nolodie jeremymiller tharris dragonrez textoris lfriedl balajis nuke2005 maryee tardigrade opheliav neveaire macle raylim lp2 karfunkel vertikalist C. elegans / WormBase kdl Biostatistics Computational-Genomics Bioinformatics Neuroscience BTS-PT-AS-CS
  • From promoter sequence to expression: A probabilistic framework
    (2002)
    by E Segal, Y Barash, I Simon, N Friechnan, D Koller
    posted to dt probabilistic by wnpx on 2006-07-17 21:10:49 as ** along with 2 people lyongu noano
  • Decomposing gene expression into cellular processes.
    Pac Symp Biocomput (2003), pp. 89-100.
    by E Segal, A Battle, D Koller
    posted to no-tag by wnpx on 2006-07-12 22:39:52 as ** along with 2 people noano frohike
  • Discovering molecular pathways from protein interaction and gene expression data.
    Bioinformatics, Vol. 19 Suppl 1 (2003)
    by E Segal, H Wang, D Koller
    posted to bio expressiondata gene interactiondata learning network pathway protein structure by wnpx on 2006-05-28 15:49:04 as ** along with 6 people and 1 group jfr lfriedl noano bhaddow edwardmorrissey jiny kdl
  • Learning Probabilistic Relational Models
    (1999), pp. 1300-1309.
    by Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer
    posted to learning models prm probabilistic relational by wnpx on 2006-05-28 15:48:19 as ** along with 7 people weimer tvdbulck Maderlock ichbins81 krokicki roys sboisen
  • Learning Probabilistic Models of Relational Structure
    (2001), pp. 170-177.
    by Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar
    posted to learning prm probabilistic relational structure by wnpx on 2006-05-28 15:47:57 as ** along with 3 people ldietz student_t tvdbulck
  • Learning probabilistic models of link structure
    J. Mach. Learn. Res., Vol. 3 (2003), pp. 679-707.
    by Lisa Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar
    posted to learning structure by wnpx on 2006-05-28 15:47:04 as ** along with 3 people lyongu student_t iris_2001
  • Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data.
    Nat Genet, Vol. 34, No. 2. (June 2003), pp. 166-176.
    by E Segal, M Shapira, A Regev, D Pe'er, D Botstein, D Koller, N Friedman
    posted to data expression gene module networks by wnpx on 2006-04-18 14:38:44 as ** along with 18 people and 1 group cswinburne ggallone ealloza orzenil tuck bayesian tabu koller olympos fishtank dimatura karfunkel roys pkm dragonrez tvdbulck chrisamiller aviad_work Jarman Lab
  • Active Learning for Structure in Bayesian Networks
    (2001), pp. 863-869.
    by Simon Tong, Daphne Koller
    posted to active bayesnet bayesnets learning structure by wnpx on 2006-02-24 15:13:45 as **** along with 2 people abhik ebrochu
  • Max margin Markov networks
    (2003)
    by B Taskar, C Guestrin, D Koller
    posted to graphicalmodels machinelearning markovnets svm by wnpx on 2006-02-24 14:45:59 as ** along with 5 people and 1 group davidr buescher76 wcohen mdreid wenhan Statistical Machine Learning
  • From signatures to models: understanding cancer using microarrays.
    Nat Genet, Vol. 37 Suppl (June 2005)
    by E Segal, N Friedman, N Kaminski, A Regev, D Koller
    posted to cancer expressiondata modeling by wnpx on 2006-01-05 22:23:17 as ***** along with 9 people and 1 group cswinburne aalibes textoris troels_marstrand nirfriedman rdiaz sampath shikin srp33 GeneGo
  • 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 clustering expression gene probabilistic by wnpx on 2006-01-03 18:44:03 as ** along with 3 people and 1 group lfriedl balicea frohike kdl
  • Active Learning for Parameter Estimation in Bayesian Networks
    (2000), pp. 647-653.
    by Simon Tong, Daphne Koller
    posted to active activelearning bayesian bayesnet learning by wnpx on 2006-01-03 06:13:00 as **** along with 1 person abhik
  • Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks
    (January 2003)
    by N Friedman, D Koller
    posted to bayesian bayesnets learning structure by wnpx on 2006-01-03 06:11:20 as **** along with 6 people markusd zeppe abhik eustatic yoh dimatura
  • Learning Probabilistic Relational Models
    (1999), pp. 1300-1309.
    by Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer
    posted to prm by wnpx on 2005-12-30 17:16:54 as ** along with 1 person 1like
  • Probabilistic frame-based systems
    (1998), pp. 580-587.
    by Daphne Koller, Avi Pfeffer
    posted to prm by wnpx on 2005-12-30 17:13:38 as ** along with 1 person tvdbulck
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