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This is the preliminary program for the 2009 Joint Statistical
Meetings in Washington, DC.
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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 2009 Program page |
= Applied Session,
= Theme Session,
= Presenter| 423 | Wed, 8/5/09, 8:30 AM - 10:20 AM | CC-143C |
| Classification and Discriminant Analysis - Contributed - Papers | ||
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Section on Statistical Learning and Data Mining, Interface Foundation of North America |
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| Chair(s): Tyler H. McCormick, Columbia University | ||
| 8:35 AM |
An Empirical Application of Credit Card Customers' Classification and Recognition in a Chinese Bank —  Li Xia, IBM China Research Laboratory; Bin Zhang, IBM China Research Laboratory; Ming Xie, IBM China Research Laboratory; Minglu Li, IBM China Research Lab; Jinyan Shao, IBM China Research Lab; Lili Zhao, IBM China Research Lab
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| 8:50 AM |
The Effect of Model Misspecification on Semi-Supervised Classification — Ting Yang, Johns Hopkins University; Carey E. Priebe, Johns Hopkins University
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| 9:05 AM |
Discriminant Analysis with Interval Constraints — Xiaoming Huo, Georgia Tech; Heeyoung Kim, Georgia Tech; Jianjun Shi, Georgia Tech
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| 9:20 AM |
Multicategory Composite Least Squares Classifier — Seo Young Park, The University of North Carolina at Chapel Hill; Yufeng Liu, The University of North Carolina at Chapel Hill
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| 9:35 AM |
Semi-Supervised Learning via Regularized Logistic Discrimination — Shuichi Kawano, Kyushu University; Sadanori Konishi, Kyushu University
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| 9:50 AM |
Properties of the Quadratic Subspace in Discriminant Analysis — Santiago Velilla, Universidad Carlos III de Madrid
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| 10:05 AM |
Subclassifying Type 2 Diabetes by Combining Nonlinear Dynamic Modeling and Multivariate Classification Methods — Lucas Beverlin, Iowa State University; Derrick Rollins, Iowa State University; Nisarg Vyas, BodyMedia, Inc.; Gregory Welk, Iowa State University; Warren Franke, Iowa State University
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JSM 2009
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. |