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61 - 80 of 144 search results for `Computational Neuroscience Unit` |u:mlg.eng.cam.ac.uk
  1. Fully-matching results

  2. 13 Feb 2023: Many existing algorithms restart training for each new hyperparameter choice, at considerable computational cost. ... We compare this scheme against natural baselines in literature along with stochastic variational GPs (SVGPs) along with an extensive
  3. LNAI 3720 - $\mathcal{U}$-Likelihood and $\mathcal{U}$-Updating…

    https://mlg.eng.cam.ac.uk/pub/pdf/SunBanCho05a.pdf
    13 Feb 2023: 1 Department of Computer Science,POSTECH, Republic of Korea. {emtidi, sybang, seungjin}@postech.ac.kr2 Gatsby Computational Neuroscience Unit,University College London, 17 Queen Square,.
  4. Unsupervised Learning A Belief Propagation Demo Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course05/fluffy.pdf
    27 Jan 2023: Unsupervised Learning. A Belief Propagation Demo. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  5. Predictive Automatic Relevance Determinationby Expectation…

    https://mlg.eng.cam.ac.uk/zoubin/papers/Qi04.pdf
    27 Jan 2023: Rosalind W. Picard picard@media.mit.eduMIT Media Laboratory, Cambridge, MA, 02139 USA. Zoubin Ghahramani zoubin@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, UCL, 17 Queen Square, London, WC1N 3AR, UK. ... 2.3. Computational Issues. To compute
  6. v7final.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/valencia02.pdf
    27 Jan 2023: MATTHEW J. BEAL and ZOUBIN GHAHRAMANIGatsby Computational Neuroscience Unit, UCL, UK. ... thesis, GatsbyComputational Neuroscience Unit, University College London. Bishop, C. M. (1999).
  7. Predictive Automatic Relevance Determinationby Expectation…

    https://mlg.eng.cam.ac.uk/pub/pdf/QiMinPic04a.pdf
    13 Feb 2023: Rosalind W. Picard picard@media.mit.eduMIT Media Laboratory, Cambridge, MA, 02139 USA. Zoubin Ghahramani zoubin@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, UCL, 17 Queen Square, London, WC1N 3AR, UK. ... 2.3. Computational Issues. To compute
  8. Correlated Non-Parametric Latent Feature Models Finale Doshi-Velez…

    https://mlg.eng.cam.ac.uk/pub/pdf/DosGha09b.pdf
    13 Feb 2023: 2005). Infinite latent fea-ture models and the Indian buffet process. TR 2005-001,Gatsby Computational Neuroscience Unit.
  9. Unsupervised Learning Propagation on Factor Graphs Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course04/factorprop.pdf
    27 Jan 2023: Unsupervised Learning. Propagation on Factor Graphs. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  10. doi:10.1016/j.patrec.2005.09.027

    https://mlg.eng.cam.ac.uk/pub/pdf/KimKimGha06a.pdf
    13 Feb 2023: c Gatsby Computational Neuroscience Unit, UCL, London WC1N 3AR, UK. Received 11 August 2004; received in revised form 15 September 2005Available online 18 November 2005.
  11. Bayesian Learning in Undirected Graphical Models:Approximate MCMC…

    https://mlg.eng.cam.ac.uk/pub/pdf/MurGha04a.pdf
    13 Feb 2023: Bayesian Learning in Undirected Graphical Models:Approximate MCMC algorithms. Iain Murray and Zoubin GhahramaniGatsby Computational Neuroscience Unit.
  12. Unsupervised Learning Propagation on Factor Graphs Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course05/factorprop.pdf
    27 Jan 2023: Unsupervised Learning. Propagation on Factor Graphs. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  13. A Nonparametric Bayesian Approach toModeling Overlapping Clusters…

    https://mlg.eng.cam.ac.uk/zoubin/papers/HelGha07over.pdf
    27 Jan 2023: A Nonparametric Bayesian Approach toModeling Overlapping Clusters. Katherine A. HellerGatsby Computational Neuroscience Unit. ... R. Neal. Markov chain sampling methods for Dirichletprocess mixture models. Journal of Computational andGraphical Statistics,
  14. Machine Learning Group Publications

    https://mlg.eng.cam.ac.uk/pub/topics/
    13 Feb 2023: D. ) suffice and a method with an overall computational cost of O(N(log N). ... Empirical validation suggests better performance and drastically improved computational scalablity compared with its predecessor, Improved GP-UCB.
  15. Variational Inference for the Indian Buffet Process Finale…

    https://mlg.eng.cam.ac.uk/pub/pdf/DosMilVanTeh09.pdf
    13 Feb 2023: J. (2003). Variational algorithms for approximatebayesian inference. Doctoral dissertation, Gatsby Com-putational Neuroscience Unit, UCL. ... 2005). Infinite latent fea-ture models and the Indian buffet process. TR 2005-001,Gatsby Computational
  16. Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions

    https://mlg.eng.cam.ac.uk/pub/pdf/ZhuGhaLaf03a.pdf
    13 Feb 2023: Gatsby Computational Neuroscience Unit, University College London, London WC1N 3AR, UK. ... For in-stance, obtaining a single labeled example for protein shapeclassification, which is one of the grand challenges of bio-logical and computational science,
  17. 27 Jan 2023: Gatsby Computational Neuroscience Unit, UCL,London, WC1N 3AR, UK,. hckim,zoubin @gatsby.ucl.ac.uk,http://www.gatsby.ucl.ac.uk. Abstract. ... Finally, although improving computational complexity of GPC learning throughsparsification methods is an
  18. 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. ... We still have not described the specific model, p(x|θ),or addressed the issue of computational efficiency of com
  19. 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.
  20. 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.
  21. 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.

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