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wnpx's learning [36 articles]

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  • Learning Bayesian Networks with Local Structure
    pp. 252-262.
    by Nir Friedman, Moises Goldszmidt
    posted to bayesian learning by wnpx on 2007-03-22 21:52:03 as ** along with 1 person hcs
  • An effective structure learning method for constructing gene networks.
    Bioinformatics, Vol. 22, No. 11. (1 June 2006), pp. 1367-1374.
    by XW Chen, G Anantha, X Wang
    posted to bayesian gene learning network structure by wnpx on 2006-09-02 11:29:44 as ** along with 1 person ramakris
  • 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
  • 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
  • Learning Hidden Variable Networks: The Information Bottleneck Approach
    J. Mach. Learn. Res., Vol. 6 (2005), pp. 81-127.
    by Gal Elidan, Nir Friedman
    posted to bayesian learning network by wnpx on 2006-07-30 16:44:33 as ** along with 1 person anon_pl
  • Fusion of domain knowledge with data for structural learning in object oriented domains
    (2003)
    by H Langseth, T Nielsen
    posted to bayesian learning network structure by wnpx on 2006-07-13 19:45:53 as **
  • Guided incremental construction of belief networks
    (2003)
    by C Sutton, B Burns, C Morrison, P Cohen
    posted to bayesian bayesnet learning network structure by wnpx on 2006-07-13 19:45:05 as **
  • Learning With Graphical Models
    No. FIA-94-02. (1994)
    by WL Buntine
    posted to bayesian bayesnet graphicalmodels learning network by wnpx on 2006-07-13 18:42:52 as **
  • Learning Bayes net structure from sparse data sets
    (2001)
    by K Murphy
    posted to bayesian bayesnet learning structure by wnpx on 2006-07-13 18:14:59 as **
  • Operations for Learning with Graphical Models
    Journal of Artificial Intelligence Research, Vol. 2 (1994), pp. 159-225.
    by Wray L Buntine
    posted to bayesian bayesnet graphicalmodels learning plates review by wnpx on 2006-07-13 18:08:04 as **** along with 3 people ldietz awllee helsley
  • Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
    (1994), pp. 85-96.
    by David Heckerman, Dan Geiger, David M Chickering
    posted to bayesian bayesnet learning networks by wnpx on 2006-07-13 18:03:21 as ** along with 4 people dongnl roys wlyu2001 peskin
  • Inference and Learning in Hybrid Bayesian Networks
    No. CSD-98-990. (November, 1998)
    by Kevin P Murphy
    posted to bayesian bayesnet dbn hybrid inference learning by wnpx on 2006-07-13 17:59:27 as **
  • Scaling-Up Bayesian Network Learning to Thousands of Variables Using Local Learning Techniques
    by Ioannis Tsamardinos, Constantin F Aliferis, Alexander Statnikov, Laura E Brown
    posted to bayesian bayesnet learning local by wnpx on 2006-07-13 17:53:55 as **
  • 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
  • On the Sample Complexity of Learning Bayesian Networks
    (1996)
    by Friedman
    posted to bayesnets learning by wnpx on 2006-02-24 15:47:52 as ** along with 1 person yaroslavvb
  • Reconstruction of gene networks using Bayesian learning and manipulation experiments
    Bioinformatics, Vol. 20, No. 17. (22 November 2004), pp. 2934-2942.
    by Iosifina Pournara, Lorenz Wernisch
    posted to active bayesian bayesnets intervention learning by wnpx on 2006-02-24 15:35:15 as ** along with 1 person yoh
  • 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
  • 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 bayesnet gene learning network by wnpx on 2006-02-24 15:08:42 as **** along with 5 people and 1 group abhik imouthesmp ramakris naegele heliopais ic4
  • Learning in Graphical Models (Adaptive Computation and Machine Learning)
    (27 November 1998)
    by Jordan
    posted to loan lib-hut learning dt book bayesnets bayesian bayes by wnpx on 2006-02-23 11:51:58 as *** along with 5 people and 1 group buescher76 tvdbulck garyfeng frohike euclid ReadingLab
  • Learning the Structure of Dynamic Probabilistic Networks
    (1999), pp. 139-147.
    by Nir Friedman, Kevin Murphy, Stuart Russell
    posted to bayesian bayesnets inference learning structure by wnpx on 2006-01-30 16:35:12 as ** along with 3 people ryang ddahlem sj777
  • Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
    No. MSR-TR-94-09. (1995)
    by David Heckerman, Dan Geiger, David M Chickering
    posted to bayesian bayesnet learning machinelearning by wnpx on 2006-01-30 16:20:16 as ** along with 1 person ryang
  • 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 Bayesian networks with local structure
    (1999), pp. 421-459.
    by Nir Friedman, Moises Goldszmidt
    posted to bayesian bayesnet learning structure by wnpx on 2006-01-03 06:08:50 as ** along with 2 people yaroslavvb eustatic
  • Learning Probabilistic Relational Models
    Lecture Notes in Computer Science, Vol. 1864 (2000), pp. 322-??.
    by Lise Getoor
    posted to learning prm toread by wnpx on 2005-12-30 17:22:45 as ** along with 3 people and 1 group bpacker krisl paulomagalhaes vision-ng
  • Learning probabilistic relational models
    (2000), pp. 307-333.
    by Douglas C Schmidt
    posted to learning prm by wnpx on 2005-12-30 17:22:21 as **
  • Construction and Methods of Learning of Bayesian Networks
    Cybernetics and Systems Analysis, Vol. 41, No. 4. (July 2005), pp. 587-598.
    by P Bidyuk, A Terent'ev, A Gasanov
    posted to basics bayesian learning by wnpx on 2005-12-30 17:19:39 as **
  • Inferring Parameters and Structure of Latent Variable Models by Variational Bayes
    pp. 21-30.
    by Hagai Attias
    posted to bayesian learning structure variationalbayes by wnpx on 2005-12-30 17:17:19 as ***
  • Learning Hybrid Bayesian Networks from Data
    by S Monti, G Cooper
    posted to bayesian bayesnet continuous discrete learning structure by wnpx on 2005-12-29 17:30:21 as ** along with 1 person ldfu
  • A tutorial on learning with bayesian networks
    (1995)
    by D Heckerman
    posted to bayesian learning tutorial by wnpx on 2005-12-29 17:29:22 as *** along with 9 people tvdbulck ldfu macle sugarexpletive mistersheik dimatura markusd pgan delip
  • Learning Graphical Models
    by Francis R Bach, Michael I Jordan
    posted to bayesian learning probabilisticgraphicalmodels structure by wnpx on 2005-12-29 17:28:06 as *** along with 2 people ldfu heshifu
  • Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
    Machine Learning, Vol. 20, No. 3. (September 1995), pp. 197-243.
    by D Heckerman, D Geiger, DM Chickering
    posted to algorithm bayesian bayesnets learning structure by wnpx on 2005-12-29 17:27:27 as **** along with 7 people ldfu yaroslavvb abhik famoreira i-stevenson Pragmatist HugoMarcelo
  • A Bayesian Method for the Induction of Probabilistic Networks from Data
    Machine Learning, Vol. 09, No. 4. (October 1992), pp. 309-347.
    by GF Cooper, E Herskovits
    posted to algorithm bayesian induction learning network structure by wnpx on 2005-12-29 17:26:15 as ** along with 5 people tvdbulck misovalko ldfu famoreira roys
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