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helsley library [80 articles]

Статьи, недавно добавленные в библиотеку helsley .
  • The Area Under an ROC Curve
    by Thomas G Tape
    posted to no-tag by helsley on 2008-05-01 01:47:53 as **
  • Variational Algorithms for Approximate Bayesian Inference
    (2003)
    by MJ Beal
    posted to no-tag by helsley on 2008-04-30 21:26:05 as **
  • A Bayesian approach to reconstructing genetic regulatory networks with hidden factors
    Bioinformatics, Vol. 21, No. 3. (01 February 2005), 349.
    by Matthew J Beal, Francesco Falciani, Zoubin Ghahramani, Claudia Rangel, David L Wild
    posted to no-tag by helsley on 2008-04-30 18:46:22 as ** along with 4 people cswinburne frohike Borelli edwardmorrissey
  • Priors on network structures. Biasing the search for Bayesian networks
    International Journal of Approximate Reasoning, Vol. 24, No. 1. (April 2000), pp. 39-57.
    by Robert Castelo, Arno Siebes
    posted to no-tag by helsley on 2008-04-29 05:41:41 as **
  • Formulas for counting acyclic digraph Markov equivalence classes
    Journal of Statistical Planning and Inference, Vol. 136, No. 4. (1 April 2006), pp. 1410-1432.
    by Steven B Gillispie
    posted to no-tag by helsley on 2008-04-28 21:03:14 as ** along with 1 person Ayest
  • Learning equivalence classes of bayesian-network structures
    J. Mach. Learn. Res., Vol. 2 (2002), pp. 445-498.
    by David M Chickering
    posted to no-tag by helsley on 2008-04-28 21:01:02 as ** along with 2 people and 1 group naegele ible VivesMinions
  • Variational Bayesian Learning of Directed Graphical Models with Hidden Variables
    Bayesian Analysis (2004), pp. 1-44.
    by Matthew J Beal, Zoubin Ghahramani
    posted to no-tag by helsley on 2008-04-23 01:31:01 as **
  • The Variational Bayesian EM Algorithm for Incomplete Data: with Application to Scoring Graphical Model Structures
    (2003)
    by Matthew J Beal, Zoubin Ghahramani
    edited by JM Bernardo, MJ Bayarri, JO Berger, AP Dawid, D Heckerman, AFM Smith, M West
    posted to no-tag by helsley on 2008-04-23 01:26:34 as **
  • BDAGL: Bayesian DAG learning
    (2007)
    by Daniel Eaton, Kevin Murphy
    posted to no-tag by helsley on 2008-04-22 21:58:06 as **
  • A Brief Introduction to Graphical Models and Bayesian Networks
    (1998)
    by Kevin Murphy
    posted to no-tag by helsley on 2008-04-22 06:30:32 as ** along with 3 people and 1 group grimm dfrankow wnpx GroupLens
  • Informative structure priors: joint learning of dynamic regulatory networks from multiple types of data.
    Pac Symp Biocomput (2005), pp. 459-470.
    by A Bernard, AJ Hartemink
    posted to no-tag by helsley on 2008-04-21 20:14:04 as ** along with 1 person naegele
  • Learning Bayesian Networks with Local Structure
    (1996), pp. 252-262.
    by Nir Friedman, Moises Goldszmidt
    posted to no-tag by helsley on 2008-04-21 19:30:55 as **
  • Markov chain Monte Carlo for Structural Inference with Prior Information
    (2007)
    by Sach Mukherjee, Terence Speed
    posted to no-tag by helsley on 2008-04-21 04:15:13 as **
  • Counting labeled acyclic digraphs
    (1973)
    by RW Robinson
    edited by F Harary
    posted to no-tag by helsley on 2008-04-21 03:04:42 as **
  • A Bayesian Approach to Causal Discovery
    Microsoft Techincal Report (1997)
    by David Heckerman, Christopher Meek, Gregory Cooper
    posted to no-tag by helsley on 2008-04-21 02:09:00 as **
  • Active Learning of Causal Bayes Net Structure
    (2001)
    by K Murphy
    posted to no-tag by helsley on 2008-04-21 02:00:37 as **
  • Exact Bayesian structure learning from uncertain interventions
    (2007)
    by Daniel Eaton, Kevin Murphy
    posted to no-tag by helsley on 2008-04-21 01:57:34 as **
  • Bayes-Ball: The rational pastime (for determining irrelevance and requisite information in belief networks and influence diagrams
    (1998)
    by R Shachter
    posted to no-tag by helsley on 2008-04-21 01:02:59 as **
  • Combining Location And Expression Data For Principled Discovery Of Genetic Regulatory Network Models
    Pac Symp Biocomput. (2002)
    by A Hartemink, D Gifford, T Jaakkola, R Young
    posted to no-tag by helsley on 2008-04-17 05:38:38 as **
  • Bayesian network and nonparametric heteroscedastic regression for nonlinear modeling of genetic network
    Bioinformatics Conference, 2002. Proceedings. IEEE Computer Society (2002), pp. 219-227.
    by S Imoto, Kim Sunyong, T Goto, S Aburatani, K Tashiro, S Kuhara, S Miyano
    posted to no-tag by helsley on 2008-04-17 03:29:16 as **
  • Annealed importance sampling
    Statistics and Computing, Vol. 11, No. 2. (1 April 2001), pp. 125-139.
    by Radford M Neal
    posted to no-tag by helsley on 2008-04-14 05:06:46 as ** along with 1 person casutton
  • Partially ordered knapsack and applications to scheduling
    Discrete Applied Mathematics, Vol. 155, No. 8. (15 April 2007), pp. 889-897.
    by Stavros G Kolliopoulos, George Steiner
    posted to no-tag by helsley on 2008-03-31 06:55:29 as read
  • Inferring cellular networks using probabilistic graphical models.
    Science, Vol. 303, No. 5659. (6 February 2004), pp. 799-805.
    by N Friedman
    posted to no-tag by helsley on 2008-03-22 05:49:16 as ** along with 14 people and 1 group srp33 ldfu ujh lfriedl opheliav ryang wnpx nirfriedman neveaire koller dimatura edwardmorrissey vietanh0 Yumyai kdl
  • On the Dirichlet Prior and Bayesian Regularization
    (2002)
    by Harald Steck, Tommi S Jaakkola
    posted to no-tag by helsley on 2008-03-21 23:42:52 as **
  • Causality : Models, Reasoning, and Inference
    (13 March 2000)
    by Judea Pearl
    posted to no-tag by helsley on 2008-03-20 03:20:41 as read along with 9 people rrbarb pylikosk quianominorleo abbie_riner wnpx paulclinger mp4man robotact soc597
  • Learning Gaussian Networks
    (1994)
    by Dan Geiger, David Heckerman
    posted to no-tag by helsley on 2008-03-19 05:14:34 as **
  • Determining the Number of Non-Spurious Arcs in a Learned DAG Model: Investigation of a Bayesian and a Frequentist Approach
    (2007)
    by Jennifer Listgarten, David Heckerman
    posted to no-tag by helsley on 2008-03-19 05:12:23 as **
  • 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 no-tag by helsley on 2008-03-07 07:24:26 as ** along with 2 people srp33 pescar238
  • The size distribution for Markov equivalence classes of acyclic digraph models
    Artificial Intelligence, Vol. 141, No. 1-2. (October 2002), pp. 137-155.
    by Steven B Gillispie, Michael D Perlman
    posted to no-tag by helsley on 2008-03-01 23:16:55 as ** along with 1 person Ayest
  • Pattern Recognition and Machine Learning (Information Science and Statistics)
    (28 August 2006)
    by Christopher M Bishop
    posted to no-tag by helsley on 2008-02-17 06:53:26 as ** along with 24 people and 5 groups ssomani singhsh filippone quianominorleo matjes delip markusd eddymier yaroslavvb sdvillal nojhan gkvas paulinus ajylha hawkes zeppe poluxmoon librain kohei-h brianmc napvasconcelos teesid robotact Hoertnagl EvolutionaryComputation Metaheuristics Optimization contact-id MuSAMA
  • Bayesian Networks for Data Mining
    Data Mining and Knowledge Discovery, Vol. 1, No. 1. (1997), pp. 79-119.
    by David Heckerman
    posted to no-tag by helsley on 2008-02-13 06:22:15 as ***
  • Consciousness as Internal Monitoring, I: The Third Philosophical Perspectives Lecture
    by William G Lycan
    posted to no-tag by helsley on 2007-11-06 06:22:59 as **
  • Improving Markov Chain Monte Carlo Model Search for Data Mining
    Machine Learning, Vol. 50, No. 1. (1 January 2003), pp. 127-158.
    by Paolo Giudici, Robert Castelo
    posted to structure-learning by helsley on 2007-11-03 01:07:47 as read along with 1 person naegele
  • 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 graphical-models by helsley on 2007-09-25 20:46:20 as *** along with 7 people srp33 brl ldfu dragonrez Schmidtc wnpx heliopais
  • Modelling gene expression data using dynamic Bayesian networks
    (1999)
    by K Murphy, S Mian
    posted to graphical-models by helsley on 2007-09-25 20:42:03 as ***
  • Bayesian structure learning using dynamic programming and MCMC
    (2007)
    by Daniel Eaton, Kevin Murphy
    posted to graphical-models by helsley on 2007-09-25 19:37:08 as read
  • Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks
    Machine Learning, Vol. 50, No. 1. (1 January 2003), pp. 95-125.
    by Nir Friedman, Daphne Koller
    posted to graphical-models by helsley on 2007-09-25 19:27:19 as *** along with 1 person stringertheory
  • Exact Bayesian Structure Discovery in Bayesian Networks
    J. Mach. Learn. Res., Vol. 5 (2004), pp. 549-573.
    by Mikko Koivisto, Kismat Sood
    posted to graphical-models by helsley on 2007-09-25 19:25:45 as **
  • Error tolerant model for incorporating biological knowledge with expression data in estimating gene networks
    Statistical Methodology, Vol. 3, No. 1. (January 2006), pp. 1-16.
    by Seiya Imoto, Tomoyuki Higuchi, Takao Goto, Satoru Miyano
    posted to graphical-models by helsley on 2007-09-23 19:56:17 as ***
  • 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 graphical-models by helsley on 2007-09-23 19:53:08 as *** along with 1 person srp33
  • Estimation of genetic networks and functional structures between genes by using Bayesian networks and nonparametric regression.
    Pac Symp Biocomput (2002), pp. 175-186.
    by S Imoto, T Goto, S Miyano
    posted to bayes graphical-models by helsley on 2007-09-23 19:51:53 as **
  • Operations for Learning with Graphical Models
    Journal of Artificial Intelligence Research, Vol. 2 (1994), pp. 159-225.
    by Wray L Buntine
    posted to graphical-models by helsley on 2007-09-23 19:03:32 as *** along with 3 people ldietz wnpx awllee
  • Operations for Learning with Graphical Models
    (1 Dec 1994)
    by WL Buntine
    posted to no-tag by helsley on 2007-09-13 02:06:17 as *** along with 1 person janne
  • Bayesian inference with probabilistic population codes
    Nature Neuroscience, Vol. 9, No. 11. (22 October 2006), pp. 1432-1438.
    by Wei J Ma, Jeffrey M Beck, Peter E Latham, Alexandre Pouget
    posted to no-tag by helsley on 2007-09-11 06:49:21 as ** along with 9 people and 2 groups dcoates klouie Borelli neilh sbarthelme ajw codonn superflunky zhenbo_cheng Glimcher_Lab S-Lab
  • Active Learning for Structure in Bayesian Networks
    (2001)
    by S Tong, D Koller
    posted to bayes structure-learning by helsley on 2007-09-11 05:21:47 as *** along with 2 people wnpx anon_pl
  • Reconstructing Gene Regulatory Networks with Bayesian Networks by Combining Expression Data with Multiple Sources of Prior Knowledge
    Statistical Applications in Genetics and Molecular Biology, Vol. 6, No. 1. (2007)
    by A Werhli, D Husmeier
    posted to bayes structure-learning by helsley on 2007-09-09 18:39:43 as **
  • Learning the Structure of Dynamic Probabilistic Networks
    (1998)
    by N Friedman, K Murphy, S Russell
    posted to bayes dbn structure-learning by helsley on 2007-09-09 18:35:13 as ***
  • An effective structure learning method for constructing gene networks
    Bioinformatics, Vol. 22, No. 11. (1 June 2006), pp. 1367-1374.
    by Chen, Xue-Wen, Anantha, Gopalakrishna, Wang, Xinkun
    posted to bayes graphical-models structure-learning by helsley on 2007-09-09 18:19:09 as *** along with 1 person heliopais
  • A tutorial on learning with bayesian networks
    (1995)
    by D Heckerman
    posted to bayes graphical-models machine-learning by helsley on 2007-09-09 18:12:12 as read along with 38 people and 8 groups frohike tessaverhoef korakot A_Olympia neilernst JoSeK jrw waffle168 davidbroadhurst biplabbose tsprau2 garyfeng aufrank grimm okarsligil wanmin rkdeexit bayesian mystiphiliac kresala stvijayanand lyongu eustatic tystl wnpx ddahlem pverstra proportional llamerada torch eman_fcis cerkut tvdbulck jaspervoskuilen ajylha eacebo pprett dcastro Philosophy_of_Information Blog_and_Wiki_Research mgh-lcs ReadingLab ur-cls Bioinformatics macc contact-id
  • Introduction to Time Series and Forecasting
    (08 March 2002)
    by Peter J Brockwell, Richard A Davis
    posted to timeseries by helsley on 2007-08-19 23:56:04 as ** along with 2 people and 1 group harald kashivishwanath sysnet
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