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21 - 30 of 127 search results for `Gatsby Computational Neuroscience Unit`

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  2. 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.

  3. Unsupervised Learning Graphical Models Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course04/lect5gm.pdf
    27 Jan 2023: Unsupervised Learning. Graphical Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

  4. Unsupervised Learning Graphical Models Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course03/lect5gm.pdf
    27 Jan 2023: Unsupervised Learning. Graphical Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

  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. Infinite Sparse Factor Analysis and InfiniteIndependent Components…

    https://mlg.eng.cam.ac.uk/pub/pdf/KnoGha07.pdf
    13 Feb 2023: σ2 ; a, b. ). We define two variants based on the prior for xkt: infinite sparse FactorAnalysis (isFA) has a unit Gaussian prior; infinite Independent ComponentsAnalysis (iICA) has a Laplacian(1) prior. ... Technical Report 1, Gatsby Computational

  7. Cambridge Machine Learning Group Publications

    https://mlg.eng.cam.ac.uk/pub/authors/
    13 Feb 2023: Abstract: Existing methods for estimating uncertainty in deep learning tend to require multiple forward passes, making them unsuitable for applications where computational resources are limited. ... Abstract: On a mathematical level, most computational

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

    https://mlg.eng.cam.ac.uk/zoubin/course04/lect1.pdf
    27 Jan 2023: Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. ... Cross entropy error:i yi log pi. Multinomial noise assumption, y is discrete (binary unit vector).

  9. Occam’s Razor Carl Edward RasmussenDepartment of Mathematical…

    https://mlg.eng.cam.ac.uk/pub/pdf/RasGha01.pdf
    13 Feb 2023: carl@imm.dtu.dk http://bayes.imm.dtu.dk. Zoubin GhahramaniGatsby Computational Neuroscience Unit. University College London17 Queen Square, London WC1N 3AR, England. ... zoubin@gatsby.ucl.ac.uk http://www.gatsby.ucl.ac.uk. Abstract. The Bayesian paradigm

  10. mfdt.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/AdaStoWil00a.pdf
    13 Feb 2023: Amos J StorkeyDivision of Informatics. University of Edinburgh,UKa.storkey@ed.ac.uk. Zoubin GhahramaniGatsby Computational Neuroscience Unit. ... This was achieved with a considerablesaving in computational effort and comes close to makingreal time

  11. Unsupervised Learning Week 2: Latent Variable Models Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course03/lect2.pdf
    27 Jan 2023: Unsupervised Learning. Week 2: Latent Variable Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. ... The. Computer Journal 42(4):270–283. • Welling, M. (2000

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