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Activity Details

68 Mon, 8/3/2020, 10:00 AM - 2:00 PM Virtual
Modern Statistical Learning Methods — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Sai Li, University of Pennsylvania
Comparison of the Performance of Different Recurrent Neural Network Models on Sequence Classification: A Simulation Study
Dawei Liu, Biogen; Charlie Cao, Biogen
Improved Strategies for Clustering Objects on Subsets of Attributes
Maarten Kampert; Jacqueline Meulman, Leiden University, Stanford University ; Jerome Friedman, Stanford University
Multilayer Recommender Systems Using with Dependent via Tensor
Jiuchen Zhang, Univ of California in Irvine; Annie Qu, University of California Irvine; Yubai Yuan, University of Illinois at Urbana-Champaign
Classification Method Optimization
Brooke McGinley, Rowan University; Liam Doherty, Rowan University; Umashanger Thayasivam, Rowan University
On the Consistent Estimation of Receiver Operating Characteristic (ROC) Curve
Renxiong Liu, Ohio State University; Yunzhang Zhu, Ohio State University
Simultaneous Or-Of-And Rules for Binary Classification
Elena Khusainova, Yale University; Emily Dodwell, Data Science & AI Research, AT&T Labs; Ritwik Mitra, Data Science & AI Research, AT&T Labs