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Activity Details


388 Tue, 8/5/2014, 2:00 PM - 3:50 PM CC-102A
SLDM Student Paper Session — Topic Contributed Papers
Section on Statistical Learning and Data Mining
Organizer(s): Hernando Ombao, University of California, Irvine
Chair(s): Deepak Agarwal, LinkedIn   
2:05 PM Multiple Kernel Learning with Random Effects for Predicting Longitudinal Outcomes and Data Integration Tianle Chen, Columbia University ; Donglin Zeng, University of North Carolina at Chapel Hill ; Yuanjia Wang, Columbia University
2:25 PM Bayesian Variable Selection with Shrinking and Diffusing Priors Naveen Naidu Narisetty, University of Michigan ; Xuming He, University of Michigan
2:45 PM Confidence Regions and Intervals for Sparse Penalized Regression with Random Designs Liang Yin, University of North Carolina at Chapel Hill ; Shu Lu, University of North Carolina at Chapel Hill ; Yufeng Liu, University of North Carolina at Chapel Hill
3:05 PM An Interpretable Stroke Prediction Model Using Rules and Bayesian Analysis Benjamin Letham, MIT ; Cynthia D. Rudin, MIT ; Tyler H. McCormick, University of Washington ; David Madigan, Columbia University
3:25 PM Dynamic Classification Using Multivariate Locally Stationary Wavelets Timothy Park, Lancaster University ; Idris Eckley, Lancaster University ; Hernando Ombao, University of California, Irvine
3:45 PM Floor Discussion



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