[Colloquium] FW: Distinguished Lecture

[Ponda Barnes]

REMINDER!
 
 
TTI-C Distinguished Lecture
 
Presented by: Toyota Technological Institute at Chicago
 
Speaker: John Lafferty
Speaker's home page: http://www.cs.cmu.edu/~lafferty
 
Date: Wednesday, March 7, 2007
Location: Kent, room 120
Time: 2:00 pm
 
 
Title: Challenges in Statistical Machine Learning 
 
Abstract:
 
A surge of research in machine learning during the past decade has led
to powerful learning methods that are successfully being applied to a
wide range of application domains, from search engines to
computational biology and robotics.  These advances have in part been
achieved by refining the art and engineering practice of machine
learning, paralleled by a confluence of machine learning and
statistics.  But an understanding of the scientific foundations and
fundamental limits to learning from data can also be effectively
leveraged in practice.  In this overview of recent work we present
some of the current technical challenges in the field of machine
learning, focusing on high dimensional data and minimax rates of
convergence, a measure of learnability that parallels channel capacity
in information theory.  These challenges include understanding the
role of sparsity in statistical learning, semi-supervised learning,
the tradeoff between computation and risk, and structured prediction
problems.
 
If you have any questions or would like to meet the speaker, please contact
Ponda Barnes at pondabarnes at tti-c.org
For future TTI-C talks and events please go to
http://ttic.uchicago.edu/cal/month.php
 
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