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Unsupervised Learning 2001

TitleUnsupervised Learning
Date2001 November 5-9
LocationBuilding 321, Room 053, Informatics and Mathematical Modelling, Technical University of Denmark
Teachers Zoubin Ghahramani and Carl Edward Rasmussen from Gatsby Computational Neuroscience Unit
Prerequisites Some background in statistics, calculus, linear algebra, and computer science.
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
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.

Contact Please contact the school

Ulla Noerhave, un @

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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