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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
251
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Tue, 7/31/07, 8:30 AM - 10:20 AM | CC-251 C |
| Machine Learning - Contributed - Papers | ||
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Section on Statistical Computing, Section on Statistical Graphics, Section on Physical and Engineering Sciences, Section on Quality and Productivity |
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| Chair(s): Simon Sheather, Texas A&M University | ||
| 8:35 AM |
Semisupervised Learning from Dissimilarity Data —  Michael Trosset, Indiana University; Carey E. Priebe, Johns Hopkins University
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| 8:50 AM |
Algorithms for Support Vector Machines — Denise Reeves, George Mason University
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| 9:05 AM |
Random Forests for Feature Selection: To Be Handled with Caution — Carolin Strobl, LMU Munich
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| 9:20 AM |
Feature Selection for Large Data — Peng Liu, Case Western Reserve University; Jiayang Sun, Case Western Reserve University
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| 9:35 AM |
Asymptotic Mean Squared Prediction Error of L2Boosting Estimator Under Mis-specified Models — Tzu-Chang Cheng, University of Illinois at Urbana-Champaign; Ching-Kang Ing, Academia Sinica
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| 9:50 AM |
On Efficient Supervised Learning of Multivariate t Mixture Models with Missing Information — Tsung-I Lin, National Chung Hsing University; Hsiu-J Ho, National Chung Hsing University; Pao-S Shen, Tunghai University
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| 10:05 AM |
Conditional Confidence Intervals for Classification Error Rate — Hie-Choon Chung, Gwangju University; Chien-Pai Han, University of Texas at Arlington
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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. |