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This is the preliminary program for the 2006 Joint Statistical
Meetings in Seattle, Washington.
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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 2006 Program page |
= Applied Session,
= Theme Session,
= Presenter, Sheraton Seattle Hotel & Towers = “S”| 411 | Wed, 8/9/06, 10:30 AM - 12:20 PM | CC-610 |
| Multidimensional Scaling and Manifold Learning - Topic Contributed - Papers | ||
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Section on Statistical Computing, IMS, Section on Statisticians in Defense and National Security |
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| Organizer(s): Michael W. Trosset, The College of William & Mary | ||
| Chair(s): David W. Scott, Rice University | ||
| 10:35 AM |
Parametric Mapping (PARAMAP): an Approach to Nonlinear Mapping —  Ulas Akkucuk, Bogazici University
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| 10:55 AM |
Metric MDS to Surfaces — David Johannsen, Naval Surface Warfare Center; Jeffrey L. Solka, Naval Surface Warfare Center
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| 11:15 AM |
Local Multidimensional Scaling: a Nonlinear Dimension Reduction Method for Data Visualization — Lisha Chen, University of Pennsylvania; Andreas Buja, University of Pennsylvania
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| 11:35 AM |
Classical Multidimensional Scaling and Laplacian Eigenmaps — Michael W. Trosset, The College of William & Mary
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| 11:55 AM |
Manifold Learning and Dimensionality Reduction for Classification — Alfred Hero, University of Michigan; Raviv Raich, University of Michigan; Jose Costa, California Institute of Technology
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| 12:15 PM | Floor Discussion | |
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JSM 2006
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. |