The conference on statistical learning and data mining
is to be held on the University of Michigan campus in Ann Arbor,
June 5-7 in 2012.
The main goal of the conference is
to bring together researchers in statistical
learning and data mining from academia, industry, and government in a
relaxed and stimulating
atmosphere to focus on the development of statistical learning theory,
methods and applications.
Topics include, but are not limited to, classification, computational
biology, covariance estimation, graphical models, high dimensional data,
learning theory, model selection, network analysis, and signal and image
processing.
The conference is sponsored by ASA's Section on Statistical Learning and
Data Mining, National Science Foundation, National Security Agency,
Department of Statistics at the University of Michigan, Google, and
SAS.
If you have any questions about the conference, send an email to
the Program Chair, Ji Zhu, at jizhu@umich.edu.
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