注册 | 登录 | FAQ      [?] 
Recent | Unread | Search | Authors | Tags | Export

wnpx's bayesian [151 articles]

当前文献位于 wnpx's 文献库 标签分类为 bayesian. You can also see everyone's bayesian.
  • Representing Probabilistic Knowledge in the Semantic Web
    (October 2004)
    by Yoshio Fukushige
    posted to bayesian dt dt-n7 rdf semanticweb by wnpx on 2007-08-13 10:57:23 as **
  • Building probabilistic networks: where do the numbers come from
    (1995)
    by M Druzdzel, L van der Gaag, M Henrion, F Jensen
    posted to bayesian probability by wnpx on 2007-08-11 11:48:52 as **
  • Software Packages for Graphical Models / Bayesian Networks
    (2005)
    by Kevin Murphy
    posted to bayesian dt list software by wnpx on 2007-08-11 11:15:17 as **
  • Feature Subset Selection by Bayesian network-based optimization
    Artificial Intelligence, Vol. 123, No. 1-2. (2000), pp. 157-184.
    by Inaki Inza, Pedro Larranaga, R Etxeberria, Basilio Sierra
    posted to bayesian by wnpx on 2007-08-10 09:59:41 as ** along with 2 people dimatura eacosta
  • A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
    (1995), pp. 1137-1145.
    by Ron Kohavi
    posted to bayesian model selection by wnpx on 2007-08-05 18:15:34 as ** along with 1 person markotka
  • On supervised learning of Bayesian network parameters
    No. 2002--1. (2002)
    by H Wettig, P Grünwald, T Roos, P Myllymäki, H Tirri
    posted to bayesian by wnpx on 2007-07-27 17:28:25 as **
  • On Game-theoretic and Bayesian Prediction
    by Teemu Roos
    posted to bayesian gametheory by wnpx on 2007-06-28 12:07:33 as **
  • On Supervised Learning of Bayesian Network Parameters
    by Hannes Wettig, Peter Grünwald, Teemu Roos, Petri Myllymäki, Henry Tirri
    posted to bayesian machinelearning naive supervised by wnpx on 2007-06-28 12:04:49 as **
  • On supervised learning of Bayesian network parameters
    (2002)
    by H Wettig, P Grunwald, T Roos, P Myllymaki, H Tirri
    posted to bayesian naive by wnpx on 2007-06-28 12:03:35 as **
  • On supervised learning of Bayesian network parameters
    (2002)
    by H Wettig, P Grunwald, T Roos, P Myllymaki, H Tirri
    posted to bayesian naive by wnpx on 2007-06-28 12:03:06 as **
  • Supervised Naive Bayes Parameters
    by Hannes Wettig, Et
    posted to bayesian naive by wnpx on 2007-06-28 12:02:33 as **
  • ePrints.FRI - Bayesian Learning of Markov Network Structure
    posted to bayesian markovnetwork by wnpx on 2007-06-28 11:58:59 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
  • Bayesian Q-learning
    (1998), pp. 761-768.
    by Richard Dearden, Nir Friedman, Stuart Russell
    posted to bayesian by wnpx on 2007-04-15 20:36:17 as ** along with 2 people mistersheik AlainDutech
  • Bayesian methods in bioinformatics and computational systems biology.
    Brief Bioinform (12 April 2007)
    by Darren J J Wilkinson
    posted to bayesian sysbio toread by wnpx on 2007-04-14 20:32:01 as ** along with 14 people and 1 group jyuh Borelli jfr neveaire zwang bertelsen cabbagezs julesyoo blobbybirdman hpaces vietanh0 waszak i-stevenson quianominorleo Bioinformatics
  • Bayesian Time Series: Analysis Methods Using Simulation-Based Computation
    by Fang Liu
    posted to bayesian timeseries by wnpx on 2007-04-14 15:57:50 as ** along with 1 person rpadams
  • An introduction to hidden Markov models and Bayesian networks
    (2002), pp. 9-42.
    by Zoubin Ghahramani
    posted to bayesian hmm by wnpx on 2007-04-12 20:35:22 as ** along with 4 people and 1 group douggeiger garyfeng kira assad79 ReadingLab
  • Probabilistic independence networks for hidden Markov probability models
    (1996)
    by P Smyth, D Heckerman, M Jordan
    posted to avod bayesian dt hmm toread by wnpx on 2007-04-12 20:33:15 as ** along with 1 person and 1 group garyfeng ReadingLab
  • Bayesian Statistical Modelling
    (30 November 2006)
    by Peter Congdon
    posted to bayesian book by wnpx on 2007-04-09 18:03:49 as **
  • The Bayesian revolution in genetics.
    Nat Rev Genet, Vol. 5, No. 4. (April 2004), pp. 251-261.
    by MA Beaumont, B Rannala
    posted to bayesian dt paywall toread by wnpx on 2007-03-25 19:28:00 as ** along with 1 person oilcan
  • 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
  • Probabilistic inference of molecular networks from noisy data sources
    Bioinformatics, Vol. 20, No. 8. (22 May 2004), pp. 1205-1213.
    by Ivan Iossifov, Michael Krauthammer, Carol Friedman, Vasileios Hatzivassiloglou, Joel S Bader, Kevin P White, Andrey Rzhetsky
    posted to bayesian dt inference od toread by wnpx on 2007-03-22 21:44:29 as *** along with 1 person iris_2001
  • A probability-based approach for high-throughput protein phosphorylation analysis and site localization
    Nature Biotechnology, Vol. 24, No. 10. (10 September 2006), pp. 1285-1292.
    by Sean A Beausoleil, Judit Villén, Scott A Gerber, John Rush, Steven P Gygi
    posted to bayesian dt protein toread by wnpx on 2007-02-11 17:46:06 as ** along with 4 people jyuh csardas Ao_Li2007 Thomasah
  • A new dynamic Bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data.
    Bioinformatics, Vol. 21, No. 1. (1 January 2005), pp. 71-79.
    by M Zou, SD Conzen
    posted to inference dbn bayesian by wnpx on 2007-02-05 18:08:53 as **
  • An empirical Bayes approach to inferring large-scale gene association networks.
    Bioinformatics, Vol. 21, No. 6. (March 2005), pp. 754-764.
    by J Schäfer, K Strimmer
    posted to bayesian dt ggm toread by wnpx on 2007-02-05 18:07:28 as ** along with 6 people and 1 group gabe_rosser eldan gangli Ao_Li2007 StatAnika tmmurali tulip
  • notes Modelling gene expression data using dynamic Bayesian networks
    (1999)
    by Kevin Murphy, Saira Mian
    posted to bayesian dbn dt expression expressiondata gene network by wnpx on 2007-02-05 18:04:33 as ** along with 1 person dimatura
  • A Bayesian connectivity-based approach to constructing probabilistic gene regulatory networks.
    Bioinformatics, Vol. 20, No. 17. (22 November 2004), pp. 2918-2927.
    by X Zhou, X Wang, R Pal, I Ivanov, M Bittner, ER Dougherty
    posted to reconstruction network inference gene bayesian by wnpx on 2007-02-05 18:00:21 as **
  • Reconstructing gene-regulatory networks from time series, knock-out data, and prior knowledge
    BMC Systems Biology, Vol. 1, No. 1. (2007)
    by Florian Geier, Jens Timmer, Christian Fleck
    posted to toread inference bayesian by wnpx on 2007-02-03 19:14:18 as ** along with 5 people edwardmorrissey jyuh tuck Ao_Li2007 ptrobajo
  • Computational strategy for discovering druggable gene networks from genome-wide RNA expression profiles.
    Pac Symp Biocomput (2006), pp. 559-571.
    by S Imoto, Y Tamada, H Araki, K Yasuda, CG Print, SD Charnock-Jones, D Sanders, CJ Savoie, K Tashiro, S Kuhara, S Miyano
    posted to network gene expressiondata bayesian by wnpx on 2007-01-21 14:39:38 as ** along with 2 people eldan tardigrade
  • Bayesian Methods for Elucidating Genetic Regulatory Networks
    IEEE Intelligent Systems, Vol. 17, No. 2. (March 2002), pp. 37-43.
    by Alexander J Hartemink, David K Gifford, Tommi S Jaakkola, Richard A Young
    posted to network gene dt bayesian by wnpx on 2007-01-15 00:13:01 as **
  • Introduction to Graphical Modelling
    (15 June 2000)
    by David Edwards
    posted to dt book bayesian by wnpx on 2007-01-14 23:53:27 as **
  • Inferring genetic regulatory logic from expression data
    Bioinformatics, Vol. 21, No. 11. (1 June 2005), pp. 2706-2713.
    by Svetlana Bulashevska, Roland Eils
    posted to expressiondata dt bayesian by wnpx on 2007-01-14 23:07:49 as ** along with 1 person eldan
  • Clustering of Genes into Regulons using Integrated Modeling-COGRIM
    Genome Biology, Vol. 8 (04 January 2007), R4.
    by Guang Chen, Shane T Jensen, Christian J Stoeckert
    posted to bayesian by wnpx on 2007-01-06 18:48:06 as ** along with 1 person lusk
  • Computational Inference of Neural Information Flow Networks
    PLoS Computational Biology, Vol. 2, No. 11. (1 November 2006), e161.
    by Anne V Smith, Jing Yu, Tom V Smulders, Alexander J Hartemink, Erich D Jarvis
    posted to bayesian dbn by wnpx on 2007-01-06 18:23:52 as ** along with 4 people and 1 group bayesian balicea dolhuis josepe SNE
  • BNArray: an R package for constructing gene regulatory networks from microarray data by using Bayesian network.
    Bioinformatics (27 September 2006)
    by Xiaohui Chen, Ming Chen, Kaida Ning
    posted to bayesian bayesnet gene network r regulation by wnpx on 2006-11-18 18:09:29 as ** along with 6 people jyuh frohike jhatrimatri shigepong ramakris waszak
  • 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
  • Bayesian search of functionally divergent protein subgroups and their function specific residues.
    Bioinformatics (26 July 2006)
    by Pekka Marttinen, Jukka Corander, Petri Törönen, Liisa Holm
    posted to bayesian protein by wnpx on 2006-10-21 16:49:43 as ** along with 2 people Terkko plofje
  • 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 by wnpx on 2006-09-02 11:51:15 as ** along with 5 people jfr frohike welchr macavity1g srp33
  • Combining multi-species genomic data for microRNA identification using a Naive Bayes classifier machine learning for identification of microRNA genes.
    Bioinformatics (16 March 2006)
    by Malik Yousef, Michael Nebozhyn, Hagit Shatkay, Stathis Kanterakis, Louise C C Showe, Michael K K Showe
    posted to bayesian classification dataintegration by wnpx on 2006-09-02 11:31:57 as ** along with 2 people and 1 group jfr andersbj microRNA
  • 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
  • Bridging structural biology and genomics: assessing protein interaction data with known complexes
    Trends in Genetics, Vol. 18, No. 10. (1 October 2002), pp. 529-536.
    by Aled M Edwards, Bart Kus, Ronald Jansen, Dov Greenbaum, Jack Greenblatt, Mark Gerstein
    posted to bayesian complex dt interaction network protein toread by wnpx on 2006-08-24 18:45:59 as *** along with 4 people and 1 group lfriedl reidy ruvido wilbur kdl
  • Bayesian network approach to cell signaling pathway modeling.
    Sci STKE, Vol. 2002, No. 148. (3 September 2002)
    by K Sachs, D Gifford, T Jaakkola, P Sorger, DA Lauffenburger
    posted to bayesian hypothesis netwokr pathway signaling by wnpx on 2006-07-30 16:50:10 as ** along with 3 people dragonrez noano saman_vp
  • 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
  • Relational Dynamic Bayesian Networks
    Journal of Artificial Intelligence Research, Vol. 24 (2005), pp. 759-797.
    by Sumit Sanghai, Pedro Domingos, Daniel Weld
    posted to bayesian dbn relational by wnpx on 2006-07-28 13:03:13 as ****
  • WinBUGS – A Bayesian modelling framework: Concepts, structure, and extensibility
    Statistics and Computing, Vol. 10, No. 4. (October 2000), pp. 325-337.
    by David J Lunn, Andrew Thomas, Nicky Best, David Spiegelhalter
    posted to bayesian implementation inference by wnpx on 2006-07-28 12:48:44 as ****
  • VIBES: A Variational Inference Engine for Bayesian Networks
    (2002)
    by Christopher M Bishop, David Spiegelhalter, John Winn
    posted to bayesian implementation inference variational variationalbayes by wnpx on 2006-07-28 12:46:46 as ****
  • Selective integration of multiple biological data for supervised network inference.
    Bioinformatics, Vol. 21, No. 10. (15 May 2005), pp. 2488-2495.
    by T Kato, K Tsuda, K Asai
    posted to bayesian dataintegration supervised by wnpx on 2006-07-26 20:57:04 as ** along with 2 people rabbat mbeautru
  • Reverse engineering of genetic networks with Bayesian networks.
    Biochem Soc Trans, Vol. 31, No. Pt 6. (December 2003), pp. 1516-1518.
    by D Husmeier
    posted to bayesian gene network by wnpx on 2006-07-26 20:56:45 as ****
  • Gene network inference from incomplete expression data: transcriptional control of hematopoietic commitment.
    Bioinformatics, Vol. 22, No. 6. (15 March 2006), pp. 731-738.
    by K Missal, MA Cross, D Drasdo
    posted to bayesian gene network by wnpx on 2006-07-26 20:56:21 as **
    • ◇温馨提示◇本页的引用地址为： http://www.citeulike.org/user/wnpx/tag/bayesian

    Result page: 1 2 3 4 Next RIS BibTeX
    CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.