MLSS'05 Canberra: Machine Learning Summer School 24/1-05/2/05

Alex Smola alex.smola at anu.edu.au
Mon Nov 1 22:43:06 EST 2004


* Apologies if you receive multiple copies *
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MACHINE LEARNING SUMMER SCHOOL 2005

January 24 to February 05, 2005, Canberra, Australia.

http://canberra05.mlss.cc

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Organized by the statistical machine learning program, National ICT
Australia jointly with Australian National University, Pascal Network
and Max Planck Institute for Biological Cybernetics (Tuebingen).

****         Applications are now open                    ****
****   Deadline for early registration is Dec 15th 2004   ****
****   For applications, please visit our web site        ****

The Summer School is intended for students and researchers alike, who
are interested in Machine Learning. Its goal is to present some of the
topics which are at the core of modern Learning Theory. The school will
be held at the Australian National University, Canberra, Australia,
between the 24th of January and the 5th of February, 2005. During this
time, we shall present the following courses (tentative titles):

- Sam Roweis, University of Toronto
	Sequence Learning
- Thore Graepel, Microsoft Research Cambridge,
	Machine Learning for Games
- Aapo Hyvaerinen, Helsinki University
	Independent Component Analysis
- Matthias Franz, MPI for Biological Cybernetics Tuebingen
	Natural Statistics of Images
- Marcus Hutter, IDSIA, Switzerland
	MDL and Bayesian Methods
- Alex Smola and S V N Vishwanathan, National ICT Australia
	Graphical Models, Kernels, and Exponential Families
- Terry Caelli, National ICT Australia
	Graph Matching Problems in Computer Vision
- Douglas Aberdeen, National ICT Australia
	Reinforcement Learning
- Markus Hegland, Australian National University
	Algebraic Sparse Grid Methods
- Rene Vidal, John Hopkins University
	Generalized PCA
- John Patrick, University of Sydney
	Natural Language processing

Practical sessions by

- Adam Kowalczyk, National ICT Australia
	Bioinformatics
- Nic Schraudolph, National ICT Australia
	Stochastic Optimization
- Olivier Chapelle, MPI for Biological Cybernetics Tuebingen
	Semisupervised Learning

For more information please contact:

mlss05 at rsise.anu.edu.au

MLSS organizing committee:

Manuel Davy
Bernhard Schoelkopf
Alex Smola
Vishy Vishwanathan





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