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41 - 60 of 198 search results for `computational neuroscience` |u:mlg.eng.cam.ac.uk
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  2. 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.
  3. 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.
  4. 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).
  5. 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).
  6. 13 Feb 2023: Technical Report 1, Gatsby Computational Neuroscience Unit (2005). 6. Ghahramani, Z., Griffiths, T., Sollich, P.: Bayesian nonparametric latent featuremodels.
  7. 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.
  8. 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
  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.
  10. 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
  11. 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
  12. 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.
  13. ibpnips4.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/GriGha06.pdf
    13 Feb 2023: Infinite Latent Feature Modelsand the Indian Buffet Process. Thomas L. Griffiths Zoubin GhahramaniCognitive and Linguistic Sciences Gatsby Computational Neuroscience UnitBrown University, Providence RI University College London, Londontom
  14. Propagation Algorithms for VariationalBayesian Learning Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/papers/nips00beal.pdf
    27 Jan 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
  15. Unsupervised Learning Week 2: Latent Variable Models Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course04/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.
  16. Occam’s Razor Carl Edward RasmussenDepartment of Mathematical…

    https://mlg.eng.cam.ac.uk/zoubin/papers/occam.pdf
    27 Jan 2023: carl@imm.dtu.dk http://bayes.imm.dtu.dk. Zoubin GhahramaniGatsby Computational Neuroscience Unit. University College London17 Queen Square, London WC1N 3AR, England.
  17. nlds-final.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/GhaRow98a.pdf
    13 Feb 2023: Roweis. Gatsby Computational Neuroscience UnitUniversity College LondonLondon WC1N 3AR, U.K. http://www.gatsby.ucl.ac.uk/.
  18. Learning to Parse Images

    https://mlg.eng.cam.ac.uk/pub/pdf/HinGhaTeh99a.pdf
    13 Feb 2023: Hinton and Zoubin GhahramaniGatsby Computational Neuroscience Unit. University College LondonLondon, United Kingdom WC1N 3ARfhinton,zoubing@gatsby.ucl.ac.uk. ... 3] D. Marr. Vision : A Computational Investigation into the Human Representationand
  19. Randomized Algorithms for Fast Bayesian Hierarchical Clustering…

    https://mlg.eng.cam.ac.uk/zoubin/papers/ranbhc.pdf
    27 Jan 2023: Randomized Algorithms for Fast Bayesian Hierarchical Clustering. Katherine A. Heller and Zoubin GhahramaniGatsby Computational Neuroscience Unit. ... countably infinite) mixture model (DPM). While the original BHCalgorithm has O(n2) computational
  20. Bayesian Learning of Model Structure Zoubin GhahramaniGatsb y…

    https://mlg.eng.cam.ac.uk/zoubin/talks/cmu-talk.pdf
    27 Jan 2023: Application Areas. computational molecular biology financial time series prediction speech and video processing analysis of functional neuro-imaging data. ... computational neuroscience.
  21. main.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/SchWinHan09.pdf
    13 Feb 2023: Since the modes of the conditional densities have closed-formexpressions, the ICM algorithm has a low computational cost per iteration. ... Computational Intelligence and Neuroscience 2008 (Feb 2008). 12. Graham, D.B., Allinson, N.M.: Characterizing

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