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21 - 30 of 156 search results for `Gatsby Computational Neuroscience` |u:mlg.eng.cam.ac.uk

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  2. Unsupervised Learning Week 1: Introduction, Statistical Basics, and a …

    https://mlg.eng.cam.ac.uk/zoubin/course03/lect1.pdf
    27 Jan 2023: Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. ... What if D isvery large? dimensionality reduction. End Notes. For some matrix identities and matrix derivatives

  3. Unsupervised Learning Bayesian Model Selection Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course03/lect9ms.pdf
    27 Jan 2023: Unsupervised Learning. Bayesian Model Selection. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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).

  9. 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).

  10. 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.

  11. 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.

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