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Sessions Were Renumbered as of May 19.

Legend:
CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Activity Details

361 Tue, 8/2/2016, 10:30 AM - 12:20 PM CC-W186b
Applications of Ensemble and Tree-Based Methods — Contributed Papers
Section on Statistical Learning and Data Science , International Chinese Statistical Association
Chair(s): Dirk Moore, Rutgers School of Public Health
10:35 AM Decoding Brain States from fMRI Data with a Machine Learning Method — Elizabeth Chou
10:50 AM Classification and Regression Tree Modeling of Correlated Binary Outcomes — Jaime Speiser, Medical University of South Carolina ; Valerie Durkalski-Mauldin, Medical University of South Carolina ; Dongjun Chung, Medical University of South Carolina ; Bethany Wolf, Medical University of South Carolina
11:05 AM Ranking Homologous Proteins Using an Ensemble of Logistic Regression Models Based on Subsets of Feature Variables — Jabed Tomal, University of Toronto ; William J. Welch, The University of British Columbia ; Ruben H. Zamar, The University of British Columbia
11:20 AM An Approach to the Multivariate Two-Sample Problem Using Classification and Regression Trees and Minimum-Weight Spanning Subgraphs — David Ruth ; Samuel Buttrey, Naval Postgraduate School ; Lyn Whitaker, Naval Postgraduate School
11:35 AM Methodological Strategies to Define a Generalizable Model for Machine Learning Ensemble Techniques — Joel Correa da Rosa, Rockefeller University ; Lewis Tomalin, Icahn School of Medicine at Mount Sinai ; Mayte Suárez-Fariñas, Icahn School of Medicine at Mount Sinai
11:50 AM Selecting Decision Rules from Tree Ensembles — Damir Spisic, IBM ; Jing Xu, IBM
12:05 PM Floor Discussion
 
 
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