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pliz library [104 articles]

最近 pliz さんのライブラリ .
  • Evidence of a cerebrovascular postarteriole windkessel with delayed compliance.
    J Cereb Blood Flow Metab, Vol. 19, No. 6. (June 1999), pp. 679-689.
    by JB Mandeville, JJ Marota, C Ayata, G Zaharchuk, MA Moskowitz, BR Rosen, RM Weisskoff
    posted to hemodynamic by pliz on 2008-09-06 00:03:53 as ** along with 3 people and 1 group tingying eugeneduff schulz Autoregulation
  • LS-NMF: a modified non-negative matrix factorization algorithm utilizing uncertainty estimates.
    BMC Bioinformatics, Vol. 7 (2006)
    by G Wang, AV Kossenkov, MF Ochs
    posted to nmf by pliz on 2008-08-05 19:02:05 as *** along with 3 people dragonrez jfr aviad_work
  • Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values
    Environmetrics, Vol. 5, No. 2. (1994), pp. 111-126.
    by Pentti Paatero, Unto Tapper
    posted to nmf by pliz on 2008-07-09 18:40:04 as ** along with 3 people and 1 group tmmurali dragonrez phlow csb_journal_club_public
  • Support vector machine classification and validation of cancer tissue samples using microarray expression data.
    Bioinformatics, Vol. 16, No. 10. (October 2000), pp. 906-914.
    by TS Furey, N Cristianini, N Duffy, DW Bednarski, M Schummer, D Haussler
    posted to svm by pliz on 2008-07-08 17:45:01 as ** along with 4 people petrposik ggrot tvjagan srp33
  • Support vector machine classification of microarray data
    (1999)
    by S Mukherjee, P Tamayo, D Slonim, A Verri, T Golub, J Mesirov, T Poggio
    posted to svm by pliz on 2008-07-08 17:41:07 as ** along with 1 person srp33
  • A state-space model of the hemodynamic approach: nonlinear filtering of BOLD signals.
    Neuroimage, Vol. 21, No. 2. (February 2004), pp. 547-567.
    by JJ Riera, J Watanabe, I Kazuki, M Naoki, E Aubert, T Ozaki, R Kawashima
    posted to hemodynamic particle by pliz on 2008-06-24 02:24:42 as ** along with 1 person and 1 group alexr Autoregulation
  • Nonlinear estimation of the BOLD signal
    NeuroImage, Vol. 40, No. 2. (1 April 2008), pp. 504-514.
    by Leigh A Johnston, Eugene Duff, Iven Mareels, Gary F Egan
    posted to particle by pliz on 2008-06-24 01:44:59 as *** along with 2 people kperdue adick
  • A Tutorial on Particle Filters for On-line Non-linear/Non-Gaussian Bayesian Tracking
    IEEE Transactions on Signal Processing, Vol. 50, No. 2. (February 2002), pp. 174-188.
    by S Arulampalam, S Maskell, N Gordon, T Clapp
    posted to particle by pliz on 2008-06-24 00:48:31 as read along with 5 people and 1 group sergiodlc hawkes avaziri1 mamadoudiao kohei-h MuSAMA
  • Monte Carlo Strategies in Scientific Computing
    (17 October 2002)
    by Jun S Liu
    posted to mcmc particle by pliz on 2008-06-22 21:39:37 as *** along with 7 people and 2 groups ppeeling mullonc rpadams mshafiei ctacmo firoozye Xavier Statistics_and_Social_Science Biostatistics
  • Symmetrical event-related EEG/fMRI information fusion in a variational Bayesian framework.
    Neuroimage, Vol. 36, No. 1. (15 May 2007), pp. 69-87.
    by J Daunizeau, C Grova, G Marrelec, J Mattout, S Jbabdi, M Pélégrini-Issac, JM Lina, H Benali
    posted to bayesian eeg fmri by pliz on 2008-06-22 19:29:16 as ***
  • Bayesian brain source imaging based on combined MEG/EEG and fMRI using MCMC
    NeuroImage, Vol. 40, No. 4. (1 May 2008), pp. 1581-1594.
    by Sung C Jun, John S George, Woohan Kim, Juliana Paré-Blagoev, Sergey Plis, Doug M Ranken, David M Schmidt
    posted to bayesian fmri mcmc by pliz on 2008-06-22 18:55:18 as read along with 2 people and 1 group briordan suizan Functional_Imaging
  • Approximating discrete probability distributions with dependence trees
    Information Theory, IEEE Transactions on, Vol. 14, No. 3. (1968), pp. 462-467.
    by C Chow, C Liu
    posted to bayesian machine-learning maximum-likelihood networks pattern-recognition structure by pliz on 2008-02-09 07:32:09 as read along with 7 people and 1 group pcarbo bpacker craigtalbert dwf chechetka roys tkollar vision-ng
  • Learning relational probability trees
    (2003), pp. 625-630.
    by Jennifer Neville, David Jensen, Lisa Friedland, Michael Hay
    posted to bayesian by pliz on 2008-02-08 19:31:24 as ** along with 3 people and 1 group jrw mhay Maderlock kdl
  • Why collective inference improves relational classification
    (2004)
    by D Jensen, J Neville, B Gallagher
    posted to bayesian bayesnets by pliz on 2008-02-08 19:08:49 as *** along with 4 people roys scis0000001 iris_2001 payne
  • Dependency networks for inference, collaborative filtering, and data visualization
    J. Mach. Learn. Res., Vol. 1 (2001), pp. 49-75.
    by David Heckerman, David M Chickering, Christopher Meek, Robert Rounthwaite, Carl Kadie
    posted to bayesian bayesiannets by pliz on 2008-02-08 19:05:57 as ** along with 5 people and 2 groups knowlengr bsowell ransombriggs rlai naegele MITCCI DarkMarkGroup
  • Multiplicative updates for nonnegative quadratic programming in support vector machines
    (2003)
    by Fei Sha, Lawrence K Saul, Daniel D Lee
    edited by Sebastian, Klaus Obermayer
    posted to nmf svm by pliz on 2008-01-30 05:44:03 as **
  • A General and Efficient Multiple Kernel Learning Algorithm
    (2006), pp. 1273-1280.
    by Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer
    edited by Y Weiss, B Schölkopf, J Platt
    posted to svm by pliz on 2008-01-30 05:38:07 as **
  • An introduction to kernel-based learning algorithms
    Neural Networks, IEEE Transactions on, Vol. 12, No. 2. (2001), pp. 181-201.
    by KR Muller, S Mika, G Ratsch, K Tsuda, Bernhard Schölkopf
    posted to kernels machine-learning pattern-recognition by pliz on 2008-01-30 05:29:09 as read along with 10 people vi_z grzegorz bayesian mthomure zoop atbrew kozaki teesid jccaicedo i-stevenson
  • Semi-naive Bayesian classifier
    (1991), pp. 206-219.
    by Igor Kononenko
    posted to bayesian bayesnets trees by pliz on 2008-01-28 09:06:38 as ** along with 1 person bamberg
  • Learning sparse features for classification by mixture models
    Pattern Recognition Letters, Vol. 25, No. 2. (19 January 2004), pp. 155-161.
    by Weixiang Liu, Nanning Zheng
    posted to nmf by pliz on 2007-12-17 07:42:46 as **** along with 1 person yama_tah
  • The max-min hill-climbing Bayesian network structure learning algorithm
    Machine Learning, Vol. 65, No. 1. (October 2006), pp. 31-78.
    by Ioannis Tsamardinos, Brown, Aliferis Constantin
    posted to bayesiannets structuresearch by pliz on 2007-12-17 07:36:15 as **** along with 2 people naegele dhein1030
  • Subsystem identification through dimensionality reduction of large-scale gene expression data.
    Genome Res, Vol. 13, No. 7. (July 2003), pp. 1706-1718.
    by PM Kim, B Tidor
    posted to nmf by pliz on 2007-12-17 07:31:59 as ** along with 3 people aviad_work jfr yama_tah
  • Biclustering of gene expression data by Non-smooth Non-negative Matrix Factorization.
    BMC Bioinformatics, Vol. 7 (2006)
    by P Carmona-Saez, RD Pascual-Marqui, F Tirado, JM Carazo, A Pascual-Montano
    posted to clustering nmf by pliz on 2007-12-17 07:29:35 as read along with 3 people jfr dps aviad_work
  • Learning Gaussian Networks
    No. MSR-TR-94-10. (1994)
    by Dan Geiger, David Heckerman
    posted to bayesnets graphical-models by pliz on 2007-12-12 21:32:00 as *** along with 2 people and 1 group bpacker dimatura vision-ng
  • Advances in Neural Information Processing Systems 10, [NIPS Conference, Denver, Colorado, USA, 1997]
    ({1998})
    by Reimar Hofmann, Volker Tresp
    edited by Michael I Jordan, Michael J Kearns, Sara A Solla
    posted to bayesiannets bibtex-import structuresearch by pliz on 2007-11-06 22:27:28 as ***
  • UAI ’99
    ({1999})
    by Volker Tresp, Michael Haft, Reimar Hofmann
    edited by Kathryn B Laskey, Henri Prade
    posted to bayesiannets bibtex-import by pliz on 2007-11-06 22:27:28 as ***
  • Lecture Notes in Computer Science
    Vol. {4668} ({2007})
    by Anton Schwaighofer, Mathäus Dejori, Volker Tresp, Martin Stetter
    edited by Joaquim M de Sá, Luís A Alexandre, Wlodzislaw Duch, Danilo P Mandic
    posted to bayesiannets bibtex-import by pliz on 2007-11-06 22:27:28 as ***
  • Learning the parts of objects by non-negative matrix factorization.
    Nature, Vol. 401, No. 6755. (21 October 1999), pp. 788-791.
    by DD Lee, HS Seung
    posted to nmf by pliz on 2007-10-19 17:36:49 as read along with 14 people and 4 groups JacquesC davidr dragonrez anar jfr yas yama_tah scis0000001 oannes cerkut atbrew zeppe kintoki cager NU-PRL T_lab Regulomics_UCHSC contact-id
  • Algorithms for Non-negative Matrix Factorization
    (2000), pp. 556-562.
    by Daniel D Lee, Sebastian H Seung
    posted to nmf by pliz on 2007-10-19 17:32:50 as read along with 14 people and 3 groups pprett ppeeling anar yas luispedro walkking aviad_work atbrew sugarexpletive phlow vsree007 dragonrez vlachmore cager T_lab Computer_Graphics csb_journal_club_public
  • A model of the hemodynamic response and oxygen delivery to brain.
    Neuroimage, Vol. 16, No. 3 Pt 1. (July 2002), pp. 617-637.
    by Y Zheng, J Martindale, D Johnston, M Jones, J Berwick, J Mayhew
    posted to fmri forward by pliz on 2007-10-19 02:32:18 as ** along with 2 people and 1 group alexr tingying Autoregulation
  • Models of brain function in neuroimaging.
    Annu Rev Psychol, Vol. 56 (2005), pp. 57-87.
    by KJ Friston
    posted to forward hemodynamic by pliz on 2007-10-18 23:35:04 as ** along with 7 people and 4 groups mbolding drmabuse balicea jclau j_hsieh xinian bhamcnil Functional_Imaging Neuroscience ilyajune Foresight
  • An Introduction to MCMC for Machine Learning
    Machine Learning, Vol. {50}, No. {1}. ({January} {2003})
    by Christophe Andrieu, Nando de Freitas, Arnaud Doucet, Michael I Jordan
    posted to mcmc bibtex-import by pliz on 2007-10-18 07:01:34 as **
  • Sampling-50 years after Shannon
    Proceedings of the IEEE, Vol. {88}, No. {4}. ({2000})
    by M Unser
    posted to sampling bibtex-import by pliz on 2007-10-18 07:01:34 as read
  • An information-maximization approach to blind separation and blind deconvolution.
    Neural Comput, Vol. {7}, No. {6}. ({November} {1995})
    by AJ Bell, TJ Sejnowski
    posted to coding cogsci compsci dim_reduction ica statistics bibtex-import by pliz on 2007-10-18 07:01:33 as **
  • The Bayesian Structural EM Algorithm
    by Nir Friedman
    posted to bayesian nets search structure bibtex-import by pliz on 2007-10-18 07:01:33 as **
  • MCMC model determination for discrete graphical models
    Statistical Modeling, Vol. {4}, No. {1}. ({2004})
    by Claudia Tarantola
    posted to bayesian nets bibtex-import by pliz on 2007-10-18 07:01:33 as **
  • Factor graphs and the sum-product algorithm
    Information Theory, IEEE Transactions on, Vol. {47}, No. {2}. ({2001})
    by FR Kschischang, BJ Frey, HA Loeliger
    posted to belief-propagation graphical-models information-theory bibtex-import by pliz on 2007-10-18 07:01:33 as **
  • UAI
    ({2003})
    edited by Christopher Meek, Uffe Kj\aerulff
    posted to bayesian nets bibtex-import by pliz on 2007-10-18 07:01:33 as **
  • UAI ’03, Proceedings of the 19th Conference in Uncertainty in Artificial Intelligence, August 7-10 2003, Acapulco, Mexico
    ({2003})
    by Jeff A Bilmes, Chris Bartels
    edited by Christopher Meek, Uffe Kj\aerulff
    posted to bayesian nets bibtex-import by pliz on 2007-10-18 07:01:33 as **
  • Estimation of linear, non-gaussian causal models in the presence of confounding latent variables
    ArXiv Computer Science e-prints ({mar} {2006})
    by PO Hoyer, S Shimizu, AJ Kerminen
    posted to ica bibtex-import by pliz on 2007-10-18 07:01:19 as **
  • Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks
    ({January} {2003})
    by N Friedman, D Koller
    posted to bayesian bayesnets learning structure bibtex-import by pliz on 2007-10-18 07:01:19 as **
  • Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
    by Arnaud Doucet, Narido de Freitas, Kevin Murphy, Stuart Russell
    posted to dbn graphicalmodel mcmc raoblackwell bibtex-import by pliz on 2007-10-18 07:01:19 as **
  • Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
    Machine Learning, Vol. {20}, No. {3}. ({September} {1995})
    by D Heckerman, D Geiger, DM Chickering
    posted to algorithm bayesian bayesnets learning structure bibtex-import by pliz on 2007-10-18 07:01:19 as **
  • ICML
    ({2006})
    edited by William W Cohen, Andrew Moore
    posted to bayesian nets bibtex-import by pliz on 2007-10-18 07:01:19 as **
  • Spatiotemporal noise covariance estimation from limited empirical magnetoencephalographic data
    Physics in Medicine and Biology, Vol. 51, No. 21. (7 November 2006), pp. 5549-5564.
    by Jun, C Sung, Plis, M Sergey, Ranken, M Doug, Schmidt, M David
    posted to my-papers by pliz on 2007-10-18 07:00:58 as read
  • Probabilistic forward model for electroencephalography source analysis
    Physics in Medicine and Biology, Vol. 52, No. 17. (7 September 2007), pp. 5309-5327.
    by Plis, M Sergey, George, S John, Jun, C Sung, Ranken, M Doug, Volegov, L Petr, Schmidt, M David
    posted to my-papers by pliz on 2007-10-18 07:00:42 as read
  • Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging data
    NeuroImage, Vol. 28, No. 1. (15 October 2005), pp. 84-98.
    by Sung C Jun, John S George, Juliana Pare-Blagoev, Sergey M Plis, Doug M Ranken, David M Schmidt, CC Wood
    posted to my-papers by pliz on 2007-10-18 07:00:19 as read along with 1 person drmabuse
  • Improving source detection and separation in a spatiotemporal Bayesian inference dipole analysis
    Physics in Medicine and Biology, Vol. 51, No. 10. (21 May 2006), pp. 2395-2414.
    by Sung C Jun, John S George, Sergey M Plis, Doug M Ranken, David M Schmidt, CC Wood
    posted to my-papers by pliz on 2007-10-18 06:59:21 as read
  • Machine Learning, Proceedings of the Twenty-Third International Conference (ICML 2006), Pittsburgh, Pennsylvania, USA, June 25-29, 2006
    ({2006})
    by Jiang Su, Harry Zhang
    edited by William W Cohen, Andrew Moore
    posted to bayesian nets bibtex-import by pliz on 2007-10-18 06:56:41 as **
  • Pattern Recognition and Machine Learning (Information Science and Statistics)
    ({August} {2006})
    by Christopher M Bishop
    posted to machine-learning pattern-recognition bibtex-import by pliz on 2007-10-18 06:56:41 as **
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