JSM 2017 Online Program

Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme

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131	Mon, 7/31/2017, 8:30 AM - 10:20 AM		CC-345
Predictive Modeling in Data Science — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Anna Smith
8:35 AM	An Overview of Existing and a Novel Approaches to Multi-Label Classification — Hyukjun Gweon ; Matthias Schonlau, University of Waterloo ; Stefan Steiner, University of Waterloo
8:50 AM	Empirical Bayes Analysis of Relevance Vector Machines — Anand Dixit, Iowa State University ; Vivekananda Roy, Iowa State University
9:05 AM	Bin-Weighted Ensemble Classifiers — Karsten Maurer, Miami University ; Walter Bennette, Air Force Research Lab
9:20 AM	Delayed Greedy Algorithm for Classification and Regression Trees — Kyle Caudle, South Dakota School of Mines and Technology ; Larry Pyeatt, South Dakota School of Mines and Technology ; Patrick Fleming, South Dakota School of Mines and Technology
9:35 AM	SVM-CART for Disease Classification — Evan Reynolds, University of Michigan ; Mousumi Banerjee, University of Michigan ; Brian Callaghan, University of Michigan
9:50 AM	Variable Selection Using Intersection and Average of Random Forests — Faraz Niyaghi, Oregon State University ; Sharmodeep Bhattacharyya, Oregon State University ; Sarah C Emerson, Oregon State University
10:05 AM	Selected Model Averaging in High-Dimensional Linear Regression — Craig Rolling, Saint Louis University ; Yongli Zhang, University of Oregon