++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+++ +++
+++ 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! +++
+++ +++
+++ Washington, DC June 19-20, 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 ([EMAIL PROTECTED])
or Professor Robert Tibshirani ([EMAIL PROTECTED]) 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
[EMAIL PROTECTED]
http://www-stat.stanford.edu/~tibs
===========================================================================
This list is open to everyone. Occasionally, less thoughtful
people send inappropriate messages. Please DO NOT COMPLAIN TO
THE POSTMASTER about these messages because the postmaster has no
way of controlling them, and excessive complaints will result in
termination of the list.
For information about this list, including information about the
problem of inappropriate messages and information about how to
unsubscribe, please see the web page at
http://jse.stat.ncsu.edu/
===========================================================================
