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This is the preliminary program for the 2007 Joint Statistical
Meetings in Salt Lake City, Utah.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2007 Program page |
= Applied Session,
= Theme Session,
= Presenter
354
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Wed, 8/1/07, 8:30 AM - 10:20 AM | CC-355 E |
| Boosting and Related Methods for Machine Learning - Invited - Papers | ||
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IMS, Section on Physical and Engineering Sciences |
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| Organizer(s): Peter Bühlmann, ETH Zurich | ||
| Chair(s): Ji Zhu, University of Michigan | ||
| 8:35 AM |
Fast Boosting Algorithms for Regularized Linear Regression and Classification —  Jerome H. Friedman, Stanford University
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| 9:05 AM |
mboost: A Package for Model-Based Boosting — Torsten Hothorn, Institut fuer Medizininformatik
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| 9:35 AM |
Greedy Methods, Weak Learning, and L1 Optimization — Tong Zhang, Yahoo! Inc.
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| 10:05 AM | Floor Discussion | |
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JSM 2007
For information, contact jsm@amstat.org
or phone (888) 231-3473. If you have questions about the Continuing Education program,
please contact the Education Department. |