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MLSS Taipei 2006
Machine Learning
Summer School
Taipei,
Taiwan. July 24 - August 4 |
News
- July 20, 2006: MLSS 2006 Wiki is now
open to access. Please click on
Wiki
button for details.
- June 19, 2006: Registration is closed
because we only have finite seats! Thank you.
- June 13, 2006: New source of
financial aid available for Pascal Network students. Please check
Registration for details.
- June 7, 2006: Financial Aid decision
has been announced.
- May 26, 2006: A new and cheap option
for housing is available provided by Academia Sinica. Please
check Housing
for details.
- May 1, 2006: Online registration and financial aid application is open.
Please check
Registration for details.
- March 31, 2006: Information of housing is available.
Please check
Housing for details.
- March 27, 2006: Information of registration fees and
financial aids is released. Please check
Registration
for details.
MLSS Taipei 2006 is the 2006 version of the
"Machine Learning Summer School"
series held previously in Canberra, Tubingen, Berder and
Chicago.
MLSS Taipei 2006 is also the 2006 version of
the "summer institutes" held by
the
Institute of Information Science (IIS), Academia Sinica,
Taipei, Taiwan. Every year, IIS holds a
"Summer Institute" on a topic in computer science to invite
renowned scholars in the topic field to offer tutorials for researchers,
students and practitioners. Topics covered in recent years
include bioinformatics, peer-to-peer computing, and computer security.
This year MLSS is co-sponsored by IIS,
the
institute of statistical science of Academia sinica (ISS),
and the
National Taiwan
University of Science and Technology
(NTUST). |


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Schedule Highlight |
The two-week summer school program consists of about 40+ hours
of lectures from 7/24 to 8/4.
The late afternoon sessions will provide a
chance for the participants to discuss the latest research
problems with the invited speakers. Prior
to the summer school, the
National Taiwan
University of Science and Technology
will offer a month-long
machine learning summer course for graduate credits. You may
choose part of them that fit your need or attend everything if
you are sufficiently energetic. |
Lectures
July 24 to August 4
8 hours a day
1 and a half hour in the late afternoon for research discussion
Other Activities
Social events: reception, banquet, hiking,
performance art, day trip to the beach, etc.
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Summer Course
Get graduate credits here. Professor Lee and
Pao will be the instructors at the
National Taiwan University of Science and Technolgoy
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Speakers |
Peter L. Bartlett
http://www.stat.berkeley.edu/~bartlett/
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Learning Theory, Large
Margin |
John Langford
http://hunch.net/~jl/
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Learning Reduction,
Reinforcement Learning |
Chih-Jen Lin
http://www.csie.ntu.edu.tw/~cjlin/
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Support Vector Machines |
Marina Meila
http://www.stat.washington.edu/mmp/
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Clustering |
Gunnar Ratsch
http://www2.fml.tuebingen.mpg.de/~raetsch
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Boosting |
Sam Roweis
http://www.cs.toronto.edu/~roweis/
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Graphical Models |
Alexander J. Smola
http://sml.nicta.com.au/~smola/
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Kernel Methods |
Jean-Philippe Vert
http://cg.ensmp.fr/~vert/
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Machine Learning for
Bioinformatics |
Martin J. Wainwright
http://www.eecs.berkeley.edu/~wainwrig/
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MRF/Variational Methods,
Imaging, Sensor Networks |
Manfred K. Warmuth
http://www.cse.ucsc.edu/~manfred
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On-line Learning |
Tong Zhang
http://www-cs-students.stanford.edu/~tzhang
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Text Mining |
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MLSS series |
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All
information is tentative and subject to change without notices
Last update:
2006/07/20
Copyright
©2005 Institute of Information Science, Academia Sinica Taiwan |
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