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  2. 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.
  3. Non-parametric Bayesian Methods Uncertainty in Artificial…

    https://mlg.eng.cam.ac.uk/zoubin/talks/uai05tutorial-b.pdf
    27 Jan 2023: Gatsby Computational Neuroscience Unit1. University College London, UK. Center for Automated Learning and DiscoveryCarnegie Mellon University, USA. ... Gatsby Computational Neuroscience Unit Technical Report GCNU-TR 2005-001. Other. • Müller, P.
  4. aistats2007-ibpsb.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/TehGorGha07a.pdf
    13 Feb 2023: Stick-breaking Construction for the Indian Buffet Process. Yee Whye TehGatsby Computational Neuroscience Unit. ... zero mean unit variance Gaussian entries. We modeleachxi as. xi|Z, Y, A, σ2X N ((zi,: yi,:)A, σ.
  5. Bayesian Learning in Undirected Graphical Models:Approximate MCMC…

    https://mlg.eng.cam.ac.uk/zoubin/papers/uai04murray.pdf
    27 Jan 2023: Bayesian Learning in Undirected Graphical Models:Approximate MCMC algorithms. Iain Murray and Zoubin GhahramaniGatsby Computational Neuroscience Unit.
  6. Statistical Models for Partial Membership Katherine A. Heller…

    https://mlg.eng.cam.ac.uk/pub/pdf/HelWilGha08.pdf
    13 Feb 2023: Gatsby Computational Neuroscience Unit. Heller, K., & Ghahramani, Z. (2007). A nonparamet-ric bayesian approach to modeling overlapping clusters.AISTATS.
  7. Optimization with EM and Expectation-Conjugate-Gradient

    https://mlg.eng.cam.ac.uk/pub/pdf/SalRowGha03b.pdf
    13 Feb 2023: Zoubin Ghahramani ZOUBIN@GATSBY.UCL.AC.UKGatsby Computational Neuroscience Unit, University College London17 Queen Square, London WC1N 3AR, UK.
  8. A Simple Bayesian Framework for Content-Based Image Retrieval…

    https://mlg.eng.cam.ac.uk/pub/pdf/HelGha06a.pdf
    13 Feb 2023: Gatsby Computational Neuroscience Unit. University College London. heller@gatsby.ucl.ac.uk. Zoubin Ghahramani. Department of Engineering.
  9. 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.
  10. 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.
  11. /users/joe/src/tops/dvips

    https://mlg.eng.cam.ac.uk/pub/pdf/UedNakGha00a.pdf
    13 Feb 2023: Zoubin GhahramaniGeoffrey E. HintonGatsby Computational Neuroscience Unit, University College London, London WC1N3AR, U.K. ... 4.2). Here Id is the d-dimensional unit matrix, and λ is a regularization constantdetermined by some validation data.
  12. 1212 nature neuroscience supplement • volume 3 • november ...

    https://mlg.eng.cam.ac.uk/zoubin/papers/natneuro.pdf
    27 Jan 2023: h. ttp. ://n. euro. sci.n. atu. re.c. om. nature neuroscience supplement • volume 3 • november 2000 1215. ... ttp. ://n. euro. sci.n. atu. re.c. om. nature neuroscience supplement • volume 3 • november 2000 1217.
  13. Beam Sampling for the Infinite Hidden Markov Model Jurgen ...

    https://mlg.eng.cam.ac.uk/pub/pdf/VanSaaTehGha08.pdf
    13 Feb 2023: Yee Whye Teh ywteh@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, WC1N 3AR, UK.
  14. BIOINFORMATICS ORIGINAL PAPER Vol. 21 no. 3 2005, pages ...

    https://mlg.eng.cam.ac.uk/pub/pdf/BeaFalGha05a.pdf
    13 Feb 2023: ComputationalNeuroscience Unit, University College London, 17 Queen Square, London WC1N 3AR,UK and 4Keck Graduate Institute of Applied Life Sciences, 535 Watson Drive,Claremont, CA 91171, USA. ... 453–464. Beal,M.J. (2003) Variational Algorithms for
  15. A New Approach to Data Driven Clustering Arik Azran ...

    https://mlg.eng.cam.ac.uk/zoubin/papers/AzrGhaICML06.pdf
    27 Jan 2023: A New Approach to Data Driven Clustering. Arik Azran arik@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, WC1N 3AR, UK.
  16. On the Convergence of Bound Optimization Algorithms Ruslan…

    https://mlg.eng.cam.ac.uk/pub/pdf/SalRowGha03a.pdf
    13 Feb 2023: rsalakhu,roweis@cs.toronto.edu. Zoubin GhahramaniGatsby Computational Neuroscience Unit. University College London17 Queen Square, London WC1N 3AR, UK.
  17. gppl.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/icml05chuwei-pl.pdf
    27 Jan 2023: Preference Learning with Gaussian Processes. Wei Chu chuwei@gatsby.ucl.ac.ukZoubin Ghahramani zoubin@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, London, WC1N 3AR, UK. ... 2004). Gaussian processes forordinal
  18. Bayesian Hierarchical Clustering Katherine A. Heller…

    https://mlg.eng.cam.ac.uk/zoubin/papers/bhcnew.pdf
    27 Jan 2023: Bayesian Hierarchical Clustering. Katherine A. Heller heller@gatsby.ucl.ac.uk. Zoubin Ghahramani zoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, University College London17 Queen Square, London, WC1N 3AR, UK.
  19. A Graphical Model for Protein Secondary Structure Prediction Wei ...

    https://mlg.eng.cam.ac.uk/pub/pdf/ChuGhaWil04a.pdf
    13 Feb 2023: Gatsby Computational Neuroscience Unit, University College London, London, WC1N 3AR, UK.
  20. gmpssp.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/icml103.pdf
    27 Jan 2023: A Graphical Model for Protein Secondary Structure Prediction. Wei Chu chuwei@gatsby.ucl.ac.ukZoubin Ghahramani zoubin@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, London, WC1N 3AR, UK.
  21. aistats2007-ibpsb.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/TehGorGha07.pdf
    27 Jan 2023: Stick-breaking Construction for the Indian Buffet Process. Yee Whye TehGatsby Computational Neuroscience Unit. ... zero mean unit variance Gaussian entries. We modeleachxi as. xi|Z, Y, A, σ2X N ((zi,: yi,:)A, σ.

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