JSM 2011 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Activity Details


341 Tue, 8/2/2011, 10:30 AM - 12:20 PM CC-B114
New Advances in Statistical Learning and Data Mining — Contributed Papers
Section on Statistical Learning and Data Mining , Section for Statistical Programmers and Analysts
Chair(s): Peter Radchenko, University of Southern California
10:35 AM Probabilistic Biclustering Thao Duong, University of California at Irvine ; Hal Stern, University of California at Irvine ; Irvine Curtis Deutsch, University of Massachusetts
10:50 AM The Relative Power of a Support Vector Regression Approach to Survival Analysis and the Cox Proportional Hazards Model — Faisal M. Khan, Aureon Biosciences, Inc. ; Douglas A. Powell, Aureon Biosciences, Inc.
11:05 AM Multi-Objective Forecast Combination Gang Cheng, University of Minnesota at Twin cities ; Yuhong Yang, University of Minnesota at Twin Cities
11:20 AM Assessing Data Regularity in Complex Wavelet Domain: Application to Mammography Image Classification Seonghye Jeon, Georgia Institute of Technology ; Seonghye Jeon, Georgia Institute of Technology ; Brani Vidakovic, Georgia Institute of Technology
11:35 AM A Universal Correlation Coefficient Nuo Xu, University of Alabama at Birmingham
11:50 AM Naturally Efficient Sparsity Tuner for Kernel Regression Ernest Fokoue, Rochester Institute of Technology



2011 JSM Online Program Home

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.