++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+++ +++
+++ MODERN REGRESSION AND CLASSIFICATION: +++
+++ +++
+++ Widely applicable statistical methods +++
+++ for modeling and prediction +++
+++ +++
+++ UPDATED: covering state-of-the-art developments in +++
+++ boosting methods and support vector machines! +++
+++ +++
+++ Palo Alto, CA November 13-14, 2000 +++
+++ +++
+++ Trevor Hastie, +++
+++ Rob Tibshirani, Stanford University +++
+++ +++
+++ +++
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
This two-day course will give a detailed overview of statistical
models for regression and classification. Known as machine-learning in
computer science and artificial intelligence, and pattern recognition
in engineering, this is a hot field with powerful applications in
finance, science and industry.
This is a very popular course, normally offered only twice a year in
the U.S. and once overseas. Recently our Munich course was
attended by 65 attendees from all over Europe.
For further information and registration forms see
http://www-stat.stanford.edu/~hastie/mrc.html
or email to Professor Trevor Hastie (hastie@stat.stanford.edu)
or Professor Robert Tibshirani (tibs@stat.stanford.edu) and ask
for full details,
or contact
Prof. Trevor Hastie
Stanford University CA
Phone/FAX: (650) 326-0854
**********************************************
Rob Tibshirani, Dept of Health Research & Policy
and Dept of Statistics
HRP Redwood Bldg
Stanford University
Stanford, California 94305-5405
phone: HRP: 650-723-7264 (Voice mail), Statistics 650-723-1185
FAX 650-725-8977
tibs@stat.stanford.edu
http://www-stat.stanford.edu/~tibs
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