++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++ +++ +++ 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 ([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