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81 - 100 of 156 search results for `Gatsby Computational Neuroscience` |u:mlg.eng.cam.ac.uk

  1. Fully-matching results

  2. Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning

    https://mlg.eng.cam.ac.uk/pub/pdf/ZhuKanGha04a.pdf
    13 Feb 2023: Nonparametric Transforms of Graph Kernelsfor Semi-Supervised Learning. Xiaojin Zhu † Jaz Kandola‡ Zoubin Ghahramani‡† John Lafferty †. †School of Computer Science ‡Gatsby Computational Neuroscience UnitCarnegie Mellon University

  3. Predictive Automatic Relevance Determinationby Expectation…

    https://mlg.eng.cam.ac.uk/zoubin/papers/Qi04.pdf
    27 Jan 2023: Rosalind W. Picard picard@media.mit.eduMIT Media Laboratory, Cambridge, MA, 02139 USA. Zoubin Ghahramani zoubin@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, UCL, 17 Queen Square, London, WC1N 3AR, UK. ... 2.3. Computational Issues. To compute

  4. talk.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/nips00w.pdf
    27 Jan 2023: Online Variational Bayesian Learning. Zoubin GhahramaniGatsby Computational Neuroscience Unit. University College London. ... December 2000. http://www.gatsby.ucl.ac.uk/. Theoretical Results. Theorem 1 Given an iid data set y = (y1; : : : yn), if

  5. v7final.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/valencia02.pdf
    27 Jan 2023: MATTHEW J. BEAL and ZOUBIN GHAHRAMANIGatsby Computational Neuroscience Unit, UCL, UK. ... A reasonable comparison should take into account the tradeoff betweenaccuracy and computational complexity.

  6. Predictive Automatic Relevance Determinationby Expectation…

    https://mlg.eng.cam.ac.uk/pub/pdf/QiMinPic04a.pdf
    13 Feb 2023: Rosalind W. Picard picard@media.mit.eduMIT Media Laboratory, Cambridge, MA, 02139 USA. Zoubin Ghahramani zoubin@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, UCL, 17 Queen Square, London, WC1N 3AR, UK. ... 2.3. Computational Issues. To compute

  7. Correlated Non-Parametric Latent Feature Models Finale Doshi-Velez…

    https://mlg.eng.cam.ac.uk/pub/pdf/DosGha09b.pdf
    13 Feb 2023: 2005). Infinite latent fea-ture models and the Indian buffet process. TR 2005-001,Gatsby Computational Neuroscience Unit.

  8. doi:10.1016/j.patrec.2005.09.027

    https://mlg.eng.cam.ac.uk/pub/pdf/KimKimGha06a.pdf
    13 Feb 2023: c Gatsby Computational Neuroscience Unit, UCL, London WC1N 3AR, UK. Received 11 August 2004; received in revised form 15 September 2005Available online 18 November 2005.

  9. Bayesian Learning in Undirected Graphical Models:Approximate MCMC…

    https://mlg.eng.cam.ac.uk/pub/pdf/MurGha04a.pdf
    13 Feb 2023: Bayesian Learning in Undirected Graphical Models:Approximate MCMC algorithms. Iain Murray and Zoubin GhahramaniGatsby Computational Neuroscience Unit. ... 3These test sets are available online:http://www.gatsby.ucl.ac.uk/iam23/04blug/. 396 MURRAY &

  10. Unsupervised Learning A Belief Propagation Demo Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course04/fluffy.pdf
    27 Jan 2023: Unsupervised Learning. A Belief Propagation Demo. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

  11. Unsupervised Learning A Belief Propagation Demo Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course05/fluffy.pdf
    27 Jan 2023: Unsupervised Learning. A Belief Propagation Demo. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

  12. Unsupervised Learning Propagation on Factor Graphs Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course04/factorprop.pdf
    27 Jan 2023: Unsupervised Learning. Propagation on Factor Graphs. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

  13. rszg2006e.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/SilGha06a.pdf
    13 Feb 2023: Bayesian Inference for Gaussian Mixed Graph Models. Ricardo Silva. Gatsby Computational Neuroscience UnitUniversity College Londonrbas@gatsby.ucl.ac.uk. ... This workwas funded by the Gatsby Charitable Foundation. References. A. Atay-Kayis and H.

  14. Variational Inference for the Indian Buffet Process Finale…

    https://mlg.eng.cam.ac.uk/pub/pdf/DosMilVanTeh09.pdf
    13 Feb 2023: J. (2003). Variational algorithms for approximatebayesian inference. Doctoral dissertation, Gatsby Com-putational Neuroscience Unit, UCL. ... 2005). Infinite latent fea-ture models and the Indian buffet process. TR 2005-001,Gatsby Computational

  15. Nonparametric Transforms of Graph Kernelsfor Semi-Supervised Learning …

    https://mlg.eng.cam.ac.uk/zoubin/papers/ZhuKanGhaLaf04.pdf
    27 Jan 2023: Nonparametric Transforms of Graph Kernelsfor Semi-Supervised Learning. Xiaojin Zhu † Jaz Kandola‡ Zoubin Ghahramani‡† John Lafferty †. †School of Computer Science ‡Gatsby Computational Neuroscience UnitCarnegie Mellon University

  16. Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions

    https://mlg.eng.cam.ac.uk/pub/pdf/ZhuGhaLaf03a.pdf
    13 Feb 2023: ZOUBIN@GATSBY.UCL.AC.UK. John Lafferty. LAFFERTY@CS.CMU.EDUSchool of Computer Science, Carnegie Mellon University, Pittsburgh PA 15213, USA. ... Gatsby Computational Neuroscience Unit, University College London, London WC1N 3AR, UK.

  17. Unsupervised Learning Propagation on Factor Graphs Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course05/factorprop.pdf
    27 Jan 2023: Unsupervised Learning. Propagation on Factor Graphs. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

  18. The EM-EP Algorithm forGaussian Process Classification Hyun-Chul Kim� …

    https://mlg.eng.cam.ac.uk/zoubin/papers/ecml03.pdf
    27 Jan 2023: Gatsby Computational Neuroscience Unit, UCL,London, WC1N 3AR, UK,. hckim,zoubin @gatsby.ucl.ac.uk,http://www.gatsby.ucl.ac.uk. Abstract. ... Finally, although improving computational complexity of GPC learning throughsparsification methods is an

  19. MCMC for doubly-intractable distributions Iain MurrayGatsby…

    https://mlg.eng.cam.ac.uk/pub/pdf/MurGhaMac06a.pdf
    13 Feb 2023: MCMC for doubly-intractable distributions. Iain MurrayGatsby Computational. Neuroscience UnitUniversity College London. ... i.murray@gatsby.ucl.ac.uk. Zoubin GhahramaniDepartment of EngineeringUniversity of Cambridgezoubin@eng.cam.ac.uk. David J. C.

  20. A Simple Bayesian Framework for Content-Based Image Retrieval…

    https://mlg.eng.cam.ac.uk/zoubin/papers/HelGha06.pdf
    27 Jan 2023: Gatsby Computational Neuroscience Unit. University College London. heller@gatsby.ucl.ac.uk. Zoubin Ghahramani. Department of Engineering. ... We still have not described the specific model, p(x|θ),or addressed the issue of computational efficiency of com

  21. aistats2007-ibpsb.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/TehGorGha07a.pdf
    13 Feb 2023: Stick-breaking Construction for the Indian Buffet Process. Yee Whye TehGatsby Computational Neuroscience Unit. ... University College London17 Queen Square. London WC1N 3AR, UKywteh@gatsby.ucl.ac.uk. Dilan GörürMPI for Biological Cybernetics.

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