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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
98
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Mon, 7/30/07, 8:30 AM - 10:20 AM | CC-255 F |
| Applications of Machine Learning and Network Tomography in Statistics - Topic Contributed - Papers | ||
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Section on Physical and Engineering Sciences |
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| Organizer(s): David Mease, San Jose State University | ||
| Chair(s): Marvin Gruber, Rochester Institute of Technology | ||
| 8:35 AM |
Making the Best Use of Available Data: The Presence-Only Problem in Ecology —  Gillian Ward, Stanford University; Trevor Hastie, Stanford University
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| 8:55 AM |
An Iterative Algorithm for Extending Learners to a Semisupervised Setting — Mark Culp, University of Michigan; George Michailidis, The University of Michigan
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| 9:15 AM |
Evidence Contrary to the Statistical View of Boosting — David Mease, San Jose State University
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| 9:35 AM |
Adversarial Classification — Bowei Xi, Purdue University; Murat Kantarcioglu, The University of Texas at Dallas; Christopher Clifton, Purdue University
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| 9:55 AM |
A Somewhat General Framework for Active Network Tomography — Earl Lawrence, Los Alamos National Laboratory
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| 12:15 PM | 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. |