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101 - 120 of 198 search results for `computational neuroscience` |u:mlg.eng.cam.ac.uk
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  2. 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
  3. 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.
  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.
  5. 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.
  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. 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.
  8. 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.
  9. 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.
  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. https://mlg.eng.cam.ac.uk/news/index.xml

    https://mlg.eng.cam.ac.uk/news/index.xml
    3 Jul 2024: Latest News | Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/news/ Latest News Wowchemy (https://wowchemy.com) en-us Wed, 22 Mar 2023 00:00:00 0000
  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. 27 Jan 2023: Reader in Machine Learning, Oct 2003–Jan 2006Gatsby Computational Neuroscience Unit, University College London, UK. ... Graduate Tutor, Gatsby Computational Neuroscience Unit, 2001-2005. Selection Committee, Chair in Computational Neuroscience, UCL,
  14. 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. ... Y. Y. Figure 4: The computational cost of sampling fromthe model represented above will vary
  15. A Nonparametric Bayesian Approach toModeling Overlapping Clusters…

    https://mlg.eng.cam.ac.uk/zoubin/papers/HelGha07over.pdf
    27 Jan 2023: A Nonparametric Bayesian Approach toModeling Overlapping Clusters. Katherine A. HellerGatsby Computational Neuroscience Unit. ... R. Neal. Markov chain sampling methods for Dirichletprocess mixture models. Journal of Computational andGraphical Statistics,
  16. 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
  17. 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
  18. Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions

    https://mlg.eng.cam.ac.uk/pub/pdf/ZhuGhaLaf03a.pdf
    13 Feb 2023: Gatsby Computational Neuroscience Unit, University College London, London WC1N 3AR, UK. ... For in-stance, obtaining a single labeled example for protein shapeclassification, which is one of the grand challenges of bio-logical and computational science,
  19. 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.
  20. 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
  21. 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

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