Zoubin Ghahramani

Results: 83



#Item
21The EM Algorithm for Mixtures of Factor Analyzers Zoubin Ghahramani Geo rey E. Hinton Department of Computer Science University of Toronto

The EM Algorithm for Mixtures of Factor Analyzers Zoubin Ghahramani Geo rey E. Hinton Department of Computer Science University of Toronto

Add to Reading List

Source URL: mlg.eng.cam.ac.uk

Language: English - Date: 2007-02-16 12:46:02
    22Randomized Algorithms for Fast Bayesian Hierarchical Clustering Katherine A. Heller and Zoubin Ghahramani Gatsby Computational Neuroscience Unit University College London, London, WC1N 3AR, UK {heller,zoubin}@gatsby.ucl.

    Randomized Algorithms for Fast Bayesian Hierarchical Clustering Katherine A. Heller and Zoubin Ghahramani Gatsby Computational Neuroscience Unit University College London, London, WC1N 3AR, UK {heller,zoubin}@gatsby.ucl.

    Add to Reading List

    Source URL: mlg.eng.cam.ac.uk

    Language: English - Date: 2007-02-16 12:45:58
      23The Automatic Statistician and Future Directions in Probabilistic Machine Learning Zoubin Ghahramani Department of Engineering University of Cambridge

      The Automatic Statistician and Future Directions in Probabilistic Machine Learning Zoubin Ghahramani Department of Engineering University of Cambridge

      Add to Reading List

      Source URL: mlss.tuebingen.mpg.de

      Language: English - Date: 2015-07-17 12:02:36
        24Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions Xiaojin Zhu ZHUXJ @ CS . CMU . EDU Zoubin Ghahramani ZOUBIN @ GATSBY. UCL . AC . UK

        Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions Xiaojin Zhu ZHUXJ @ CS . CMU . EDU Zoubin Ghahramani ZOUBIN @ GATSBY. UCL . AC . UK

        Add to Reading List

        Source URL: pages.cs.wisc.edu

        Language: English - Date: 2005-08-01 22:33:31
          25A Nonparametric Bayesian Approach to Modeling Overlapping Clusters Zoubin Ghahramani∗ Engineering Department University of Cambridge

          A Nonparametric Bayesian Approach to Modeling Overlapping Clusters Zoubin Ghahramani∗ Engineering Department University of Cambridge

          Add to Reading List

          Source URL: mlg.eng.cam.ac.uk

          Language: English - Date: 2007-02-16 12:45:34
            26Variational Inference for Bayesian Mixtures of Factor Analysers Zoubin Ghahramani and Matthew J. Beal Gatsby Computational Neuroscience Unit University College London

            Variational Inference for Bayesian Mixtures of Factor Analysers Zoubin Ghahramani and Matthew J. Beal Gatsby Computational Neuroscience Unit University College London

            Add to Reading List

            Source URL: mlg.eng.cam.ac.uk

            Language: English - Date: 2006-05-16 12:30:04
              27Time-Sensitive Dirichlet Process Mixture Models Xiaojin Zhu Zoubin Ghahramani May 2005

              Time-Sensitive Dirichlet Process Mixture Models Xiaojin Zhu Zoubin Ghahramani May 2005

              Add to Reading List

              Source URL: mlg.eng.cam.ac.uk

              Language: English - Date: 2006-05-16 12:30:09
                28Bayesian Hierarchical Clustering Katherine A. Heller Zoubin Ghahramani Gatsby Computational Neuroscience Unit, University College London 17 Queen Square, London, WC1N 3AR, UK

                Bayesian Hierarchical Clustering Katherine A. Heller Zoubin Ghahramani Gatsby Computational Neuroscience Unit, University College London 17 Queen Square, London, WC1N 3AR, UK

                Add to Reading List

                Source URL: mlg.eng.cam.ac.uk

                Language: English - Date: 2006-05-16 12:29:53
                  29Bayesian Hierarchical Clustering Katherine A. Heller Zoubin Ghahramani Gatsby Computational Neuroscience Unit, UCL, London, WC1N 3AR, UK

                  Bayesian Hierarchical Clustering Katherine A. Heller Zoubin Ghahramani Gatsby Computational Neuroscience Unit, UCL, London, WC1N 3AR, UK

                  Add to Reading List

                  Source URL: mlg.eng.cam.ac.uk

                  Language: English