Регистрация | Вход в службу | FAQ      [?] 

Ключевое слово bayesian [747 articles]

Recent papers classified by the tag bayesian.
  • SimulFold: Simultaneously Inferring RNA Structures Including Pseudoknots, Alignments, and Trees Using a Bayesian MCMC Framework
    PLoS Computational Biology, Vol. 3, No. 8. (1 August 2007), e149.
    by Irmtraud M Meyer, István Miklós
  • Accurate prediction of protein-protein interactions from sequence alignments using a Bayesian method
    Mol Syst Biol, Vol. 4 (12 February 2008)
    by Lukas Burger, Erik van Nimwegen
  • Bayesian methods in bioinformatics and computational systems biology.
    Brief Bioinform (12 April 2007)
    by Darren J J Wilkinson
  • Bayesian Orthogonal Least Squares (BOLS) algorithm for reverse engineering of gene regulatory networks
    BMC Bioinformatics, Vol. 8, No. 1. (2007)
    by Chang S Kim
  • Bayesian support is larger than bootstrap support in phylogenetic inference: a mathematical argument
    Math Med Biol, Vol. 24, No. 4. (1 December 2007), pp. 401-411.
    by Tom Britton, Bodil Svennblad, Per Erixon, Bengt Oxelman
    posted to bayesian bootstrap phylogeny by zwang on 2008-03-16 15:10:59 as *** along with 1 person adacier
  • Bayesian refinement of protein functional site matching
    BMC Bioinformatics, Vol. 8 (17 July 2007), 257.
    by Kanti V Mardia, Vysaul B Nyirongo, Peter J Green, Nicola D Gold, David R Westhead
    posted to bayesian protein site by zwang on 2007-07-18 18:40:58 as ***
  • Bayesian inference of epistatic interactions in case-control studies
    Nature Genetics, Vol. 39, No. 9. (26 August 2007), pp. 1167-1173.
    by Yu Zhang, Jun S Liu
    posted to bayesian epistasis interaction by zwang on 2007-09-05 01:54:37 as ** along with 2 people jyuh mailund
  • A Primer on Learning in Bayesian Networks for Computational Biology
    PLoS Computational Biology, Vol. 3, No. 8. (1 August 2007), e129.
    by Chris J Needham, James R Bradford, Andrew J Bulpitt, David R Westhead
  • 1997, A decision-theoretic generalization of on-line learning and an application to boosting
    (1995), pp. 23-37.
    by Yoav Freund, Robert E Schapire
  • notes Vision as Bayesian inference: analysis by synthesis?
    Trends in Cognitive Sciences, Vol. 10, No. 7. (July 2006), pp. 301-308.
    by Alan Yuille, Daniel Kersten
  • Probabilistic reasoning by neurons
    Nature (03 June 2007)
    by Tianming Yang, Michael N Shadlen
  • Graphical models, causal inference, and econometric models
    Journal of Economic Methodology, Vol. 12, No. 1. (March 2005), pp. 3-34.
    by Spirtes Peter
  • 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
  • Inferring cellular networks using probabilistic graphical models.
    Science, Vol. 303, No. 5659. (6 February 2004), pp. 799-805.
  • A distance measure for bounding probabilistic belief change
    (2002), pp. 539-545.
    by Hei Chan, Adnan Darwiche
    posted to approximation bayesian by yaroslavvb on 2005-11-27 03:11:19 as ** along with 1 person bertelsen
  • Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
    Machine Learning, Vol. 20, No. 3. (September 1995), pp. 197-243.
  • Bayes and Tukey Meet at the Center Point
    Lecture Notes in Computer Science, Vol. 3120 (January 2004), pp. 549-563.
    by Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
  • Experiences in elicitation.
    Journal of the Royal Statistical Society: Series D (The Statistican), Vol. 47, No. 1. (March 1998), pp. 3-19.
    by J Kadane, LJ Wolfson
    posted to bayesian elicitation by yaroslavvb on 2005-03-09 02:01:50 as **
  • Inference, method, and decision: Towards a Bayesian philosophy of science (Synthese library ; v. 115)
    (30 September 1977)
    by Roger D Rosenkrantz
    posted to bayesian book philosophy by yaroslavvb on 2005-03-08 08:54:57 as **
  • A tutorial on learning with Bayesian networks
    (1999), pp. 301-354.
    by David Heckerman
  • Effects of priors in model selection problem of learning machines with singularities
    Electronics and Communications in Japan (Part II: Electronics), Vol. 88, No. 2. (19 January 2005), pp. 47-58.
    by Koichiro Nishiue, Sumio Watanabe
    posted to bayesian prior by yaroslavvb on 2005-11-24 19:43:51 as **
  • How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS
    Statistics in Medicine, Vol. 24, No. 15. (14 July 2005), pp. 2401-2428.
    by Paul C Lambert, Alex J Sutton, Paul R Burton, Keith R Abrams, David R Jones
    posted to bayesian prior by yaroslavvb on 2005-11-24 19:41:28 as ** along with 1 person jyuh
  • Bayes point machines
    J. Mach. Learn. Res., Vol. 1 (2001), pp. 245-279.
    by Ralf Herbrich, Thore Graepel, Colin Campbell
    posted to bayesian svm by yaroslavvb on 2005-03-14 01:38:18 as ** along with 3 people arthur claudio EmreSevinc
  • Probability, frequency and reasonable expectation
    (1990), pp. 353-365.
    by RT Cox
    posted to bayesian philosophy by yaroslavvb on 2005-09-05 20:31:54 as **
  • Bayesian Model Averaging: A Tutorial
    Statistical Science, Vol. 14, No. 4. (1999), pp. 382-401.
    by Jennifer A Hoeting, David Madigan, Adrian E Raftery, Chris T Volinsky
  • Bayes or Bust? A Critical Examination of Bayesian Confirmation Theory
    (28 May 1992)
    by John Earman
    posted to bayesian philosophy by yaroslavvb on 2005-03-11 19:07:12 as **
  • notes Bayesian Model Selection and Model Averaging.
    J Math Psychol, Vol. 44, No. 1. (March 2000), pp. 92-107.
    posted to bayesian model-selection by yaroslavvb on 2005-03-06 03:43:20 as *** along with 2 people superflunky bertdv
  • Bayesian measures of model complexity and fit
    Journal of the Royal Statistical Society: Series B (Statistical Methodology), Vol. 64, No. 4. (2002), pp. 583-639.
    by SD Spiegelhalter, NG Best, BP Carlin, AVD Linde
  • How to Tell When Simpler, More Unified, or Less Ad Hoc Theories Will Provide More Accurate Predictions
    The British Journal for the Philosophy of Science, Vol. 45, No. 1. (1994), pp. 1-35.
    by Malcolm Forster, Elliott Sober
  • notes Scientific Inference
    (01 December 1957)
    posted to bayesian philosophy by yaroslavvb on 2005-03-11 03:26:29 as **
  • Algebra of Probable Inference
    (01 February 2002)
    by Richard T Cox
    posted to bayesian philosophy by yaroslavvb on 2005-03-10 21:07:01 as ** along with 1 person mjt
  • notes Maximally Informative Statistics
    (15 Oct 2000)
    by David R Wolf, Edward I George
    posted to bayesian feature-selection by yaroslavvb on 2005-11-29 02:41:57 as **
  • Bayesian computation in recurrent neural circuits
    Neural Comput, Vol. 16, No. 1. (January 2004), pp. 1-38.
    by RP Rao
  • Neural computations that underlie decisions about sensory stimuli
    Trends Cogn Sci, Vol. 5, No. 1. (1 January 2001), pp. 10-16.
    by JI Gold, MN Shadlen
  • Inference and computation with population codes.
    Annu Rev Neurosci, Vol. 26 (2003), pp. 381-410.
    by A Pouget, P Dayan, RS Zemel
  • Sensitivity to sampling in Bayesian word learning
    Developmental Science, Vol. 10, No. 3. (May 2007), pp. 288-297.
    posted to approch bayesian by xuxg on 2007-12-03 23:28:30 as ***** along with 1 person and 1 group garyfeng ReadingLab
  • Evaluation of antiangiogenic treatment effects on tumors' microcirculation by Bayesian physiological pharmacokinetic modeling and magnetic resonance imaging
    Magnetic Resonance Imaging, Vol. 24, No. 8. (October 2006), pp. 1059-1067.
    by Celine Brochot, Bertrand Bessoud, Daniel Balvay, Charles-Andre Cuenod, Nathalie Siauve, Frederic Y Bois
    posted to bayesian dce-mri modelization by xtizon on 2007-07-26 13:25:00 as *****
  • Automatic eyeglasses removal from face images.
    IEEE Trans Pattern Anal Mach Intell, Vol. 26, No. 3. (March 2004), pp. 322-336.
    by C Wu, C Liu, HY Shum, YQ Xu, Z Zhang
    posted to bayesian face_image_analysis inference mcmc by wowbagger on 2006-07-24 13:52:50 as read
  • Data Analysis: A Bayesian Tutorial (Oxford Science Publications)
    (01 July 1996)
    by DS Sivia
  • Bayesian Inference in Cyclical Component Dynamic Linear Models
    Journal of the American Statistical Association, Vol. 90, No. 432. (???? 1995), pp. 1301-1312.
    by Mike West
    posted to bayes bayesian inference timeseries by wnpx on 2006-02-23 14:21:35 as ** along with 1 person rpadams
  • Learning in Graphical Models (Adaptive Computation and Machine Learning)
    (27 November 1998)
  • Bayesian network approach to cell signaling pathway modeling.
    Sci STKE, Vol. 2002, No. 148. (3 September 2002)
  • Active Learning for Structure in Bayesian Networks
    (2001)
    by S Tong, D Koller
  • 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
  • Probability Theory : The Logic of Science
    (10 April 2003)
    by ET Jaynes
  • Bayesian Networks and Decision Graphs
    (06 July 2001)
    by Finn V Jensen
    posted to loan lib-hut dt book bayesnet bayesian by wnpx on 2006-01-31 10:39:02 as ** along with 2 people dariusb winschel
  • Dynamic Bayesian network and nonparametric regression for nonlinear modeling of gene networks from time series gene expression data
    Biosystems, Vol. 75, No. 1-3. (July 2004), pp. 57-65.
    by Sunyong Kim, Seiya Imoto, Satoru Miyano
  • Identifying drug active pathways from gene networks estimated by gene expression data.
    Genome Inform Ser Workshop Genome Inform, Vol. 16, No. 1. (2005), pp. 182-191.
    by Y Tamada, S Imoto, K Tashiro, S Kuhara, S Miyano
  • 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 4 people jfr frohike welchr macavity1g
  • 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
  • Вы можете ссылаться на эту страницу по адресу: http://www.citeulike.org/tag/bayesian

    Result page: 1 2 3 4 5 6 7 8 9 10 Next RIS BibTeX RSS
    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.