CLASS-L Archives

May 2000

CLASS-L@LISTS.SUNYSB.EDU

Options: Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Subject:
From:
Rob Tibshirani <[log in to unmask]>
Reply To:
Classification, clustering, and phylogeny estimation
Date:
Sun, 21 May 2000 22:38:23 -0700
Content-Type:
text/plain
Parts/Attachments:
text/plain (51 lines)
        ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
        +++ +++
        +++ 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 ([log in to unmask])
or Professor Robert Tibshirani ([log in to unmask]) 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
[log in to unmask]
http://www-stat.stanford.edu/~tibs

ATOM RSS1 RSS2