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	Sequential update of Bayesian network structure [My Copy] In Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (1997), pp. 165-174. by Nir Friedman, Moises Goldszmidt posted to bayesian_network sequential structure_learning by naegele on 2008-11-01 15:58:00 as
	Learning Bayesian networks from postgenomic data with an improved structure MCMC sampling scheme [My Copy] (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 [My Copy] 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 [My Copy] In Proceedings of the International Conference on Computational Systems Bioinformatics (CSB 2007), 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? [My Copy] In LinkKDD '05: Proceedings of the 3rd international workshop on Link discovery (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 [My Copy] (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 [My Copy] In Proceedings of the 11th Annual Conference on Uncertainty in Artificial Intelligence (UAI-95) (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 [My Copy] In Advances in Neural Information Processing Systems, NIPS 12 (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 [My Copy] 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 [My Copy] (01 September 1997) by Judea Pearl posted to bayesian_network graphical_models by naegele on 2008-06-05 12:26:38 as along with 18 people dglane001 alexander_bauer psychorav rockelegancy mthomure pprett tvdbulck tdlt leidner pcarbo fheintz wnpx wasteland93 fsteeg lcigler 1like quianominorleo robotact
	Bayesian Networks and Decision Graphs [My Copy] (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 [My Copy] 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 2 people markusd dimatura
	Adapting Bayes network structures to non-stationary domains [My Copy] International Journal of Approximate Reasoning, Vol. 49, No. 2. (2008), pp. 379-397. by Soren H. Nielsen, Thomas D. Nielsen posted to bayesian_network nonstationary by naegele on 2008-04-02 13:09:51 as
	Combining location and expression data for principled discovery of genetic regulatory network models. [My Copy] Pacific Symposium on Biocomputing (2002), pp. 437-449. by A. J. Hartemink, D. K. Gifford, T. S. Jaakkola, R. A. Young posted to bayesian_network regulatory_network by naegele on 2008-01-16 11:48:39 as along with 6 people stharward brl ldfu wnpx noano frohike
	Learning Bayesian Networks From Dependency Networks: A Preliminary Study [My Copy] In Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, Jan 3-6, 2003, Key West, FL. (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 along with 1 person rsantana
	Gibbs Sampling in Bayesian Networks [My Copy] 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 [My Copy] In UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (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 along with 1 person luispedro
	MIDAS: An Influence Diagram for Management of Mildew in Winter Wheat [My Copy] In UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence (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 [My Copy] In Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference (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
	Causation, Prediction, and Search [My Copy] (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 along with 5 people livingthingdan wnpx chechetka frohike rsantana
	Learning Bayesian Networks [My Copy] (01 April 2003) by Richard E. Neapolitan posted to bayesian_network by naegele on 2007-11-28 15:06:33 as along with 10 people and 1 group tvdbulck ldfu garyfeng balicea wnpx harriscd wasteland93 quianominorleo czeller abellogin ReadingLab
	The max-min hill-climbing Bayesian network structure learning algorithm [My Copy] 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 along with 2 people pliz dhein1030
	Modularized learning of genetic interaction networks from biological annotations and mRNA expression data [My Copy] 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 along with 7 people frohike verdicchio beete saman_vp patrycja_missiuro roys tvdbulck
	Improving Markov Chain Monte Carlo Model Search for Data Mining [My Copy] 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 [My Copy] Decision Support Systems In Special Issue Clusters, 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
	A hybrid Bayesian network learning method for constructing gene networks. [My Copy] 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. [My Copy] Bioinformatics, Vol. 21 Suppl 2 (1 September 2005) by J. M. 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 6 people and 1 group frohike abhik imouthesmp wnpx ramakris heliopais ic4
	A novel algorithm for scalable and accurate Bayesian network learning. [My Copy] Medinfo, Vol. 11, No. Pt 1. (2004), pp. 711-715. by L. E. Brown, I. Tsamardinos, C. F. Aliferis posted to bayesian_network graphical_models machine_learning structure_learning by naegele on 2007-09-06 10:26:16 as along with 2 people and 2 groups gangli ramakris tulip ic4
	Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures [My Copy] In Machine Learning: ECML 2007. 18th European Conference on Machine Learning, 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 along with 1 person and 2 groups rsantana ic4 generif_paper
	"Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks [My Copy] 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 [My Copy] In Second European Conference on Artificial Intelligence in Medicine, Vol. 38 (1989), pp. 247-256. by I. A. Beinlich, H. J. Suermondt, R. M. Chavez, G. F. Cooper edited by J. Hunter, J. Cookson, J. Wyatt posted to alarm bayesian_network by naegele on 2007-09-03 16:53:17 as along with 1 person and 1 group michen ic4
	Adaptive Probabilistic Networks with Hidden Variables [My Copy] 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 along with 1 group ic4
	The Bayesian structural EM algorithm [My Copy] In Proc. Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI '98) (1998), pp. 129-138. by Nir Friedman edited by G. F. Cooper, S. Moral posted to bayesian_network machine_learning structure_learning by naegele on 2007-09-03 16:53:17 as along with 1 group ic4
	Learning Belief Networks in the Presence of Missing Values and Hidden Variables [My Copy] In Proc. 14th International Conference on Machine Learning (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 along with 1 group ic4
	A Bayesian method for constructing Bayesian belief networks from databases [My Copy] In UAI '95: Proceedings of the seventh conference on Uncertainty in artificial intelligence (1991), pp. 86-94. by Gregory F. Cooper, Edward Herskovits edited by G. F. Cooper, S. Moral posted to bayesian_network structure_learning by naegele on 2007-09-03 16:53:17 as along with 1 group ic4
	Learning Bayesian Network Structure from Massive Datasets: The ”Sparse Candidate” Algorithm [My Copy] In UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (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 along with 1 group ic4
	Learning Bayesian Networks: The Combination of Knowledge and Statistical Data [My Copy] 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 along with 1 group ic4
	A Transformational Characterization of Equivalent Bayesian Network Structures [My Copy] In Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (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 along with 1 group ic4
	Equivalence and synthesis of causal models [My Copy] In UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence (1990), pp. 255-268. by Thomas S. Verma, Judea Pearl edited by P. P. Bonissone, M. Henrion, L. N. Kanal, J. F. Lemmer posted to bayesian_network equivalence_class by naegele on 2007-09-03 16:53:17 as along with 1 group ic4
	Using Bayesian networks to analyze expression data [My Copy] In The Fourth Annual International Conference on Computational Molecular Biology (RECOMB) (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 along with 1 group ic4

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bibtex-import	43
bayesian_network	40
structure_learning	22
graphical_models	21
regulatory_network	12
machine_learning	12
genetic_network	12
gene_expression	11
microarray	10
systems_biology	9
graphical_model	7
mcmc	7
own_publication	6
bayesian	4
dag	4
equivalence_class	4
markov_equivalence	4
chain_graph	4
yeast	3
iron_homeostasis	3
bootstrap	3
ancestral_graph	2
markov	2
graph	2
dependency_network	2
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model	2
pdag	2
causality	2
network	2
conditional_random_fields	1
leukemia	1
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association_rule_mining	1
large	1
continous_variables	1
insurance	1
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sequential	1
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coauthorship	1
constraint	1
generation	1
missing_values	1
collaborative_filtering	1
breast_cancer	1
feature_selection	1
gene_ontology	1
strong_connectivity	1
hailfinder	1
medical	1
kegg	1
simulated_annealing	1
relation_extraction	1
genetics	1
depth_first	1
classification	1
information_content	1
undirected_graph	1
biological_network	1
independence	1
disease	1
nonstationary	1
missing_variables	1
latent_variable	1
bayes	1
semantic_similarity	1
chip_chip	1
genome	1
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