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タグ: bayesian_networks [79 articles]

Recent papers classified by the tag bayesian_networks.
  • Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems
    by SL Lauritzen, DJ Spiegelhalter
    posted to bayesian_networks by tmmurali on 2005-06-25 05:09:56 as * along with 5 people frohike wasteland93 sutovsky lcigler roys
  • A causal mapping approach to constructing Bayesian networks
    Decision Support Systems, Vol. 38, No. 2. (November 2004), pp. 259-281.
    by Sucheta Nadkarni, Prakash P Shenoy
    posted to bayesian_networks network_reconstruction by srp33 on 2008-05-29 19:33:41 as ** along with 1 person holidaynow
  • BNArray: an R package for constructing gene regulatory networks from microarray data by using Bayesian network
    Bioinformatics, Vol. 22, No. 23. (1 December 2006), pp. 2952-2954.
    by Chen, Xiaohui, Chen, Ming, Ning, Kaida
    posted to bayesian_networks microarray pathway_analysis by srp33 on 2008-05-22 15:51:27 as ** along with 2 people pengchy jhatrimatri
  • Parameter Learning in Object-Oriented Bayesian Networks
    Annals of Mathematics and Artificial Intelligence, Vol. 32, No. 1. (2001), pp. 221-243.
    by Helge Langseth, Olav Bangsø
    posted to bayesian_networks object_oriented by srp33 on 2008-06-19 19:39:16 as **
  • 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_networks data_aggregation by srp33 on 2008-05-27 17:42:13 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 frohike kdl Bioinformatics
  • A Programming Language for Probabilistic Computation
    by Sungwoo Park
    posted to bayesian_networks object_oriented by srp33 on 2008-07-23 20:48:19 as **
  • Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks.
    Bioinformatics, Vol. 22, No. 14. (15 July 2006)
    by O Gevaert, FD Smet, D Timmerman, Y Moreau, BD Moor
    posted to bayesian_networks microarray by srp33 on 2008-05-21 19:40:31 as ** along with 5 people jfr wnpx frohike welchr macavity1g
  • 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_networks microarray by srp33 on 2008-05-30 19:56:15 as ** along with 7 people brl ldfu dragonrez Schmidtc wnpx helsley heliopais
  • Combining microarrays and biological knowledge for estimating gene networks via Bayesian networks
    Bioinformatics Conference, 2003. CSB 2003. Proceedings of the 2003 IEEE (2003), pp. 104-113.
    by S Imoto, T Higuchi, T Goto, K Tashiro, S Kuhara, S Miyano
    posted to bayesian_networks prior_knowledge by srp33 on 2008-05-29 18:24:16 as ** along with 1 person helsley
  • A Comparative Study of Discretization Methods for Naive-Bayes Classifiers
    by Ying Yang, Geoffrey I Webb
    posted to bayesian_networks discretization naive_bayes by srp33 on 2008-07-15 17:37:59 as **
  • Scalable Techniques for Mining Causal Structures
    Data Mining and Knowledge Discovery, Vol. 4, No. 2. (10 July 2000), pp. 163-192.
    by Craig Silverstein, Sergey Brin, Rajeev Motwani, Jeff Ullman
    posted to association_rule_mining bayesian_networks causality by srp33 on 2008-05-29 23:00:59 as **
  • Disease gene explorer: display disease gene dependency by combining Bayesian networks with clustering
    Computational Systems Bioinformatics Conference, 2004. CSB 2004. Proceedings. 2004 IEEE (2004), pp. 574-575.
    by Qian Diao, We Hu, Hao Zhong, Juntao Li, Feng Xue, Tao Wang, Yimin Zhang
    posted to bayesian_networks clustering pathway_analysis by srp33 on 2008-08-01 00:18:38 as **
  • Integrating large-scale functional genomic data to dissect the complexity of yeast regulatory networks.
    Nature genetics (15 June 2008)
    by Jun Zhu, Bin Zhang, Erin N N Smith, Becky Drees, Rachel B B Brem, Leonid Kruglyak, Roger E E Bumgarner, Eric E E Schadt
    posted to bayesian_networks network_reconstruction yeast by srp33 on 2008-08-28 18:41:50 as ** along with 10 people realzhang kengg maralena ptrobajo tmmurali jyuh roys marck caseybrown djkt
  • 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_networks prior_knowledge by srp33 on 2008-05-29 18:21:11 as ** along with 2 people pescar238 helsley
  • Markov logic networks
    Machine Learning, Vol. 62, No. 1-2. (February 2006), pp. 107-136.
    by Matthew Richardson, Pedro Domingos
    posted to bayesian_networks object_oriented by srp33 on 2008-07-29 23:27:32 as ** along with 4 people iris_2001 iansimon roys francolq
  • Probabilistic Frame-Based Systems
    (1998), pp. 580-587.
    by Daphne Koller, Avi Pfeffer
    posted to bayesian_networks object_oriented by srp33 on 2008-07-23 20:17:18 as **
  • SPOOK: A system for probabilistic object-oriented knowledge representation
    pp. 541-550.
    by Avi Pfeffer, Daphne Koller, Brian Milch, Ken T Takusagawa
    posted to bayesian_networks object_oriented by srp33 on 2008-07-23 00:15:56 as **
  • Object-Oriented Bayesian Networks
    (1997), pp. 302-313.
    by Daphne Koller, Avi Pfeffer
    posted to bayesian_networks object_oriented by srp33 on 2008-07-29 23:17:26 as ** along with 1 person tvdbulck
  • IBAL: A Probabilistic Rational Programming Language
    (2001), pp. 733-740.
    by Avi Pfeffer
    posted to bayesian_networks object_oriented by srp33 on 2008-07-23 20:47:28 as **
  • Validating module network learning algorithms using simulated data
    BMC Bioinformatics, Vol. 8, No. Suppl 2. (2007)
    by Tom Michoel, Steven Maere, Eric Bonnet, Anagha Joshi, Yvan Saeys, Tim Van den Bulcke, Koenraad Van Leemput, Piet van Remortel, Martin Kuiper, Kathleen Marchal, Yves Van de Peer
    posted to bayesian_networks data_simulation object_oriented by srp33 on 2008-08-04 18:36:49 as ** along with 7 people and 2 groups irinamohorianu ptrobajo shigepong ajgentles erbon vietanh0 mattjb ComplexAdaptiveSystems DSTO-CAS
  • 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_networks biological_networks network_inference scalable_nw_learning by roys on 2008-01-23 22:29:34 as ** along with 5 people beete saman_vp patrycja_missiuro naegele tvdbulck
  • Learning Probabilistic Relational Models
    (2000), pp. 322-323.
    by Lise Getoor
    posted to bayesian_networks prm statistical_relational_models by roys on 2007-11-06 22:38:40 as **
  • Advances in probabilistic reasoning
    (1991), pp. 118-126.
    by Dan Geiger, David Heckerman
    posted to bayesian_networks context_specific_indep multinet similarity_nw by roys on 2007-11-06 20:54:43 as **
  • Advances to Bayesian network inference for generating causal networks from observational biological data
    Bioinformatics, Vol. 20, No. 18. (2004), 3594.
    by Jing Yu, Anne V Smith, Paul P Wang, Alexander J Hartemink
    posted to bayesian_networks gene_expression_nw network_inference by roys on 2007-11-06 03:45:58 as ** along with 2 people csgillespie heliopais
  • Coevolutionary networks of splicing cis-regulatory elements
    Proceedings of the National Academy of Sciences (12 November 2007), 0707349104.
    by Xinshu Xiao, Zefeng Wang, Minyoung Jang, Christopher B Burge
    posted to bayesian_networks tfnets tfprograms transcription_modules by roys on 2007-11-14 06:01:21 as ** along with 2 people cjeans oelemento
  • Learning Mixtures of DAG Models
    (1998), pp. 504-513.
    by Bo Thiesson, Christopher Meek, David M Chickering, David Heckerman
    posted to bayesian_networks mdags multinets similarity_nw by roys on 2007-11-06 21:08:53 as **
  • Learning Bayesian Network Structure from Massive Datasets: The ”Sparse Candidate” Algorithm
    pp. 206-215.
    by Nir Friedman, Iftach Nachman, Dana Pe'er
    posted to bayesian_networks sparse_candidate structure_learning by roys on 2007-12-14 17:52:10 as ** along with 4 people ldfu wnpx famoreira dimatura
  • An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering
    Pattern Recogn. Lett., Vol. 21, No. 9. (July 2000), pp. 779-786.
    by JM Pe&\#241;a, JA Lozano, P Larra&\#241;aga
    posted to bayesian_networks hidden_vars structural_em by roys on 2007-11-06 20:43:36 as ** along with 2 people wnpx famoreira
  • 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 bayesian_networks bde by roys on 2007-11-06 18:46:12 as ** along with 4 people misovalko ldfu wnpx famoreira
  • 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_networks bde score_function by roys on 2007-11-06 19:02:18 as ** along with 4 people wnpx dongnl wlyu2001 peskin
  • Network inference using informative priors
    Proceedings of the National Academy of Sciences, Vol. 105, No. 38. (2008), pp. 14313-14318.
    by Sach Mukherjee, Terence P Speed
    posted to structured_prior structure_learning biological_networks bayesian_networks by roys on 2008-09-24 06:04:46 as ** along with 3 people markstoehr stringertheory tmmurali
  • Learning Bayesian Belief Networks Based on the Minimum Description Length Principle: An Efficient Algorithm Using the B & B Technique
    (1996), pp. 462-470.
    by Joe Suzuki
    posted to bayesian_networks mdl score_function by roys on 2007-11-06 19:00:20 as ** along with 2 people jrw mkuro
  • MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals
    J. Mach. Learn. Res., Vol. 7 (2006), pp. 167-189.
    by Dana Pe'er, Amos Tanay, Aviv Regev
    posted to bayesian_networks gene_expression_nw network_inference by roys on 2007-11-06 03:44:01 as **
  • Bayesian Network Decomposition for Modeling Breast Cancer Detection
    Artificial Intelligence in Medicine (2007), pp. 346-350.
    by Marina Velikova, de Carvalho, Peter Lucas
    posted to bayesian_networks context_specific_indep by roys on 2007-11-09 05:52:57 as **
  • Reconstructing gene regulatory networks with bayesian networks by combining expression data with multiple sources of prior knowledge.
    Stat Appl Genet Mol Biol, Vol. 6 (2007)
    by AV Werhli, D Husmeier
    posted to bayesian_networks biological_networks data_integration by roys on 2008-05-17 01:55:56 as ** along with 1 person edwardmorrissey
  • Learning Bayesian Networks is NP-Hard
    No. MSR-TR-94-17. (November 1994)
    by David M Chickering, Dan Geiger, David Heckerman
    posted to bayesian_networks network_inference by roys on 2007-11-06 18:39:53 as **
  • Learning Probabilistic Relational Models
    (1999), pp. 1300-1309.
    by Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer
    posted to bayesian_networks graphical_models prm statistical_relational_models by roys on 2007-11-06 05:07:53 as ** along with 7 people weimer wnpx tvdbulck Maderlock ichbins81 krokicki sboisen
  • Learning belief networks in the presence of missing values and hidden variables
    (1997), pp. 125-133.
    by Nir Friedman
    posted to bayesian_networks hidden_vars structural_em by roys on 2007-11-06 20:47:42 as ** along with 1 person yangxian
  • 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_networks graphical_gaussian network_inference by roys on 2007-11-06 03:55:46 as ** along with 3 people czeller alokm Borelli
  • Being Bayesian about Network Structure
    (2000), pp. 201-210.
    by Nir Friedman, Daphne Koller
    posted to bayesian_networks graphical_models structure_learning by roys on 2008-03-14 02:23:21 as **
  • Constructing Bayesian network models of gene expression networks from microarray data
    (2000)
    by P Spirtes, C Glymour, R Scheines
    posted to bayesian_networks gene_expression_nw network_inference by roys on 2007-11-06 03:41:36 as **
  • A Tutorial on Learning Bayesian Networks
    No. MSR-TR-95-06. (March 1995)
    by David Heckerman
    posted to bayesian_networks by roys on 2007-11-06 18:42:00 as ** along with 2 people cpfr jwm0123
  • A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests
    J. Mach. Learn. Res., Vol. 7 (2006), pp. 2149-2187.
    by Luis M de Campos
    posted to bayesian_networks score_function by roys on 2007-11-06 18:49:43 as **
  • Dynamic Bayesian Multinets
    (2000), pp. 38-45.
    by Jeff Bilmes
    posted to bayesian_networks context_specific_indep dbn multinet by roys on 2007-11-06 20:56:32 as **
  • Probabilistic Network Construction Using the Minimum Description Length Principle
    Lecture Notes in Computer Science, Vol. 747 (1993), pp. 41-??.
    by RR Bouckaert
    posted to bayesian_networks mdl score_function by roys on 2007-11-06 18:59:42 as **
  • Learning with Mixtures of Trees
    Journal of Machine Learning Research, Vol. 1 (2000), pp. 1-48.
    by Marina Meila, Michael I Jordan
    posted to bayesian_networks mt multinet undirected_graphical_models by roys on 2007-11-06 21:10:17 as ** along with 1 person markusd
  • Bayesian analysis of signaling networks governing embryonic stem cell fate decisions
    Bioinformatics, Vol. 21, No. 6. (15 March 2005), pp. 741-753.
    by J Woolf, Prudhomme Wendy, Daheron Laurence, Q Daley, A Lauffenburger
    posted to bayesian_networks network_inference signaling_nw by roys on 2007-11-06 04:15:30 as ** along with 1 person rmk
  • Learning class-discriminative dynamic Bayesian networks
    (2005), pp. 97-104.
    by John Burge, Terran Lane
    posted to bayesian_networks context_specific_indep dbn multinet by roys on 2007-11-06 20:57:35 as **
  • A tutorial on learning with Bayesian networks
    (1998), pp. 301-354.
    by David Heckerman
    posted to bayesian bayesian_networks machine_learning tutorial by robotact on 2008-08-12 21:23:16 as ****
  • Causality : Models, Reasoning, and Inference
    (13 March 2000)
    by Judea Pearl
    posted to bayesian bayesian_networks causality textbooks by robotact on 2008-02-02 17:27:47 as ** along with 9 people czeller wnpx paulclinger mp4man helsley soc597 abbie_riner pylikosk rrbarb
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