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Unsupervised Learning 2001
| Title | Unsupervised Learning |
| Date | 2001 November 5-9 |
| Location | Building 321, Room 053,
Informatics and Mathematical Modelling,
Technical University of Denmark |
| Teachers |
Zoubin Ghahramani
and
Carl Edward Rasmussen
from
Gatsby Computational Neuroscience Unit
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| Syllabus |
http://www.gatsby.ucl.ac.uk/~zoubin/course01/
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| Prerequisites |
Some background in statistics, calculus, linear algebra, and computer science.
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| Keywords |
Unsupervised learning,
principal component analysis,
cluster analysis,
k-means
factor analysis,
mixture model,
independent component analysis,
hidden Markov model,
Gaussian process,
maximum likelihood,
Bayesian learning,
reinforcement learning,
sampling methods, variational approximations,
MCMC,
Hybrid Monte Carlo
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| Description |
The course is given by two of the most active researchers
in current machine learning.
Zoubin and Carl will teach Tuesday-Friday. The course will
start at 13:00 Monday Nov 4, with contributed presentations
by the course participants. There will be a social get-together
Monday Evening.
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| Contact |
Please contact the school
Ulla Noerhave, un @ imm.dtu.dk
for registration and assistance with local hotel
etc. If you are interested in contributing with a
presentation please supply a title and short abstract.
Participation is free for academia.
Deadline for registration is Oct 22, 2001.
Limited to 20 participants.
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