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Machine Learning Summer School

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C. Bishop (Microsoft Research) Graphical ... A. Blake (Microsoft Research) Computer Vision. O. Bousquet (MPI T bingen) Advanced Statistical Learning Theory ... – PowerPoint PPT presentation

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Title: Machine Learning Summer School


1
  • Machine Learning Summer School
  • September 12-25, 2004
  • Berder Island, France
  • Lectures and Practical Sessions
  • C. Bishop (Microsoft Research) Graphical Models
    and Variational Methods
  • A. Blake (Microsoft Research) Computer Vision
  • O. Bousquet (MPI Tübingen) Advanced Statistical
    Learning Theory
  • S. Canu (INSA Rouen) Regularization
  • O. Chapelle (MPI Tübingen) Semi-supervised
    Learning (Practical Session)
  • M. Davy (IRCCyN Nantes) Simulation Methods (
    Practical Session)
  • A. Gretton (MPI Tübingen) Independent Component
    Analysis (Practical Session)
  • T. Hofmann (Brown University) Information
    Retrieval and Text Mining
  • J. Moore (ANU Canberra) Control and Optimization
  • G. Rätsch (MPI Tübingen and Fraunhofer Berlin)
    Boosting
  • B. Schölkopf (MPI Tübingen) Kernel Methods
  • J. Shawe-Taylor (Southampton) Statistical
    Learning Theory
  • A. Smola (ANU Canberra) Exponential Families and
    Kernels
  • V. Vapnik (NEC Research) Empirical Inference

Max Planck Institut für biologische Kybernetik
The Australian National University
Information, Signal, Images, Vision
French-German University
--Please Post--
2
  • Machine Learning Summer School
  • September 12-25, 2004
  • Berder Island, France
  • Lectures and Practical Sessions
  • C. Bishop (Microsoft Research) Graphical Models
    and Variational Methods
  • A. Blake (Microsoft Research) Computer Vision
  • O. Bousquet (MPI Tübingen) Advanced Statistical
    Learning Theory
  • S. Canu (INSA Rouen) Regularization
  • O. Chapelle (MPI Tübingen) Semi-supervised
    Learning (Practical Session)
  • M. Davy (IRCCyN Nantes) Simulation Methods (
    Practical Session)
  • A. Gretton (MPI Tübingen) Independent Component
    Analysis (Practical Session)
  • T. Hofmann (Brown University) Information
    Retrieval and Text Mining
  • J. Moore (ANU Canberra) Control and Optimization
  • G. Rätsch (MPI Tübingen and Fraunhofer Berlin)
    Boosting
  • B. Schölkopf (MPI Tübingen) Kernel Methods
  • J. Shawe-Taylor (Southampton) Statistical
    Learning Theory
  • A. Smola (ANU Canberra) Exponential Families and
    Kernels
  • V. Vapnik (NEC Research) Empirical Inference

Max Planck Institut für biologische Kybernetik
Information, Signal, Images, Vision
French-German University
The Australian National University
--Please Post--
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