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  2. Learning Theoretic and Bayesian Inductive Principles

    https://mlg.eng.cam.ac.uk/zoubin/LTBIP/
    27 Jan 2023: Gatsby Computational Neuroscience Unit. ... University College London, UK. The theoretical analysis of systems that learn from data has been an important topic of study in statistics, machine learning, and information theory.
  3. 27 Jan 2023: Cognitive Systems Engineering is a highly interdisciplinary field, drawing from disciplines as diverse as computer science, statistics, neuroscience, engineering, and psychology. ... communications. computational neuroscience. computer vision and image
  4. Unsupervised Learning A Belief Propagation Demo Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course04/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. Unsupervised Learning A Belief Propagation Demo Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course03/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.
  6. Unsupervised Learning Propagation on Factor Graphs Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course03/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.
  7. paper8-lect0-13

    https://mlg.eng.cam.ac.uk/zoubin/p8-07/lect0.pdf
    27 Jan 2023: Robotics autonomous systems that perceive and act. • Computer vision recognising and modelling images. • ... How does it fit into Information Engineering? • Main research and teaching directions in Division F: – control systems – signal
  8. Unsupervised Learning Lecture 6: Hierarchical and Nonlinear Models…

    https://mlg.eng.cam.ac.uk/zoubin/course04/lect6hier.pdf
    27 Jan 2023: Unsupervised Learning. Lecture 6: Hierarchical and Nonlinear Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. ... Nonlinear dynamical systems. • Independent
  9. Unsupervised Learning Sampling andMarkov Chain Monte Carlo Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course05/lect7mcmc.pdf
    27 Jan 2023: Unsupervised Learning. Sampling andMarkov Chain Monte Carlo. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  10. Unsupervised Learning Sampling andMarkov Chain Monte Carlo Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course04/lect7mcmc.pdf
    27 Jan 2023: Unsupervised Learning. Sampling andMarkov Chain Monte Carlo. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  11. Unsupervised Learning Variational Approximations Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course04/lect7var.pdf
    27 Jan 2023: Unsupervised Learning. Variational Approximations. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  12. Unsupervised Learning The EM Algorithm Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course04/lect3.pdf
    27 Jan 2023: Unsupervised Learning. The EM Algorithm. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  13. Unsupervised Learning Week 1: Introduction, Statistical Basics, and a …

    https://mlg.eng.cam.ac.uk/zoubin/course03/lect1.pdf
    27 Jan 2023: Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  14. 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. ... In the CE family:. • Gaussian mixtures• factor analysis,
  15. 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. ... Y1. X 2. Y2. X T. YT. hidden Markov modelslinear dynamical systems.
  16. 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. ... Y2. X T. YT. hidden Markov modelslinear dynamical systems. X 2.
  17. 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. ... Conjugate-Exponential examples. In the CE family:. • Gaussian
  18. 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.
  19. 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.
  20. Unsupervised Learning Week 1: Introduction, Statistical Basics,and a…

    https://mlg.eng.cam.ac.uk/zoubin/course05/lect1.pdf
    27 Jan 2023: Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. ... Psychology: perception, movement control, reinforcement learning, mathematicalpsychology. • Computational
  21. 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.
  22. nlds-final.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/GhaRow98a.pdf
    13 Feb 2023: Learning Nonlinear Dynamical Systems. using an EM Algorithm. Zoubin Ghahramani and Sam T. ... We present a generalization of the EM algorithm forparameter estimation in nonlinear dynamical systems.
  23. Unsupervised Learning Latent Variable Time Series Models Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course03/lect4.pdf
    27 Jan 2023: Unsupervised Learning. Latent Variable Time Series Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. ... These models are also known as stochastic linear
  24. Unsupervised Learning Latent Variable Time Series Models Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course05/lect4time.pdf
    27 Jan 2023: Unsupervised Learning. Latent Variable Time Series Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. ... These models are also known as stochastic linear
  25. 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.
  26. 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.
  27. 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.
  28. Unsupervised Learning Variational Approximations Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course03/lect7var.pdf
    27 Jan 2023: Unsupervised Learning. Variational Approximations. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  29. Unsupervised Learning Markov Chain Monte Carlo Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course03/lect7mcmc.pdf
    27 Jan 2023: Unsupervised Learning. Markov Chain Monte Carlo. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  30. Unsupervised Learning Lecture 6: Hierarchical and Nonlinear Models…

    https://mlg.eng.cam.ac.uk/zoubin/course03/lect6hier.pdf
    27 Jan 2023: Unsupervised Learning. Lecture 6: Hierarchical and Nonlinear Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. ... University College London. Autumn 2003. Why
  31. Unsupervised Learning Variational Approximations Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course05/lect7var.pdf
    27 Jan 2023: Unsupervised Learning. Variational Approximations. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  32. Unsupervised Learning Lecture 6: Hierarchical and Nonlinear Models…

    https://mlg.eng.cam.ac.uk/zoubin/course05/lect6hier.pdf
    27 Jan 2023: Unsupervised Learning. Lecture 6: Hierarchical and Nonlinear Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. ... Nonlinear dynamical systems. • Independent
  33. Unsupervised Learning The EM Algorithm Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course03/lect3.pdf
    27 Jan 2023: Unsupervised Learning. The EM Algorithm. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  34. Unsupervised Learning Graphical Models Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course05/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. ... Y1. X 2. Y2. X T. YT. hidden Markov modelslinear dynamical systems.
  35. Unsupervised Learning Bayesian Model Comparison Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course04/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. ... Conjugate-Exponential examples. In the CE family:. • Gaussian
  36. Unsupervised Learning Latent Variable Time Series Models Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course04/lect4time.pdf
    27 Jan 2023: Unsupervised Learning. Latent Variable Time Series Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. ... These models are also known as stochastic linear
  37. 27 Jan 2023: Max Planck Institute for Intelligent Systems, GERMANY. Department of Computing, Imperial College, UK. ... Robotics Systems and Science (keynote), Sydney, AUSTRALIA. Leeds Annual Statistics Research Workshop, UK.

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