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21 - 30 of 154 search results for `Gatsby Computational Neuroscience` |u:mlg.eng.cam.ac.uk

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  2. Week 2: Latent Variable Models Maneesh Sahanimaneesh@gatsby.ucl.ac.uk …

    https://mlg.eng.cam.ac.uk/zoubin/course05/lect2m.pdf
    27 Jan 2023: Week 2: Latent Variable Models. Maneesh Sahanimaneesh@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience UnitUniversity College London.

  3. Unsupervised Learning Bayesian Model Comparison Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course04/lect9ms.pdf
    27 Jan 2023: Unsupervised Learning. Bayesian Model Comparison. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

  4. AUGUST 2005 1 A note on the evidence and ...

    https://mlg.eng.cam.ac.uk/zoubin/papers/05occam/occam.pdf
    27 Jan 2023: Gatsby Computational Neuroscience UnitUniversity College London. http://www.gatsby.ucl.ac.uk/. {i.murray,zoubin }@gatsby.ucl.ac.uk. Gatsby Unit Technical Report GCNU-TR 2005-003.

  5. Unsupervised Learning Bayesian Model Comparison Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course05/lect9ms.pdf
    27 Jan 2023: Unsupervised Learning. Bayesian Model Comparison. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

  6. Graphical models: parameter learning Zoubin Ghahramani Gatsby…

    https://mlg.eng.cam.ac.uk/zoubin/course04/hbtnn2e-II.pdf
    27 Jan 2023: Graphical models: parameter learning. Zoubin Ghahramani. Gatsby Computational Neuroscience Unit. University College London. ... Computational Statistics and Data Analysis, 19:177–189. Jordan, M. I., editor (1998).

  7. Graphical models: parameter learning Zoubin Ghahramani Gatsby…

    https://mlg.eng.cam.ac.uk/zoubin/course03/hbtnn2e-II.pdf
    27 Jan 2023: Graphical models: parameter learning. Zoubin Ghahramani. Gatsby Computational Neuroscience Unit. University College London. ... Computational Statistics and Data Analysis, 19:177–189. Jordan, M. I., editor (1998).

  8. Week 3: The EM algorithm Maneesh Sahanimaneesh@gatsby.ucl.ac.uk…

    https://mlg.eng.cam.ac.uk/zoubin/course05/lect3.pdf
    27 Jan 2023: Week 3: The EM algorithm. Maneesh Sahanimaneesh@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience UnitUniversity College London.

  9. Infinite Sparse Factor Analysis and InfiniteIndependent Components…

    https://mlg.eng.cam.ac.uk/pub/pdf/KnoGha07.pdf
    13 Feb 2023: Technical Report 1, Gatsby Computational Neuroscience Unit (2005). 6. Ghahramani, Z., Griffiths, T., Sollich, P.: Bayesian nonparametric latent featuremodels.

  10. Nested sampling for Potts models

    https://mlg.eng.cam.ac.uk/pub/pdf/MurMacGha05a.pdf
    13 Feb 2023: Nested sampling for Potts models. Iain MurrayGatsby Computational Neuroscience Unit. University College Londoni.murray@gatsby.ucl.ac.uk. ... David J.C. MacKayCavendish Laboratory. University of Cambridgemackay@mrao.cam.ac.uk. Zoubin GhahramaniGatsby

  11. Propagation Algorithms for VariationalBayesian Learning Zoubin…

    https://mlg.eng.cam.ac.uk/pub/pdf/GhaBea00a.pdf
    13 Feb 2023: Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, England{zoubin,m.beal}@gatsby.ucl.ac.uk http://www.gatsby.ucl.ac.uk. ... 2] M.J. Beal and Z. Ghahramani. The variational Kalman smoother. Technical

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