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Activity Details
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68
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Mon, 8/3/2020,
10:00 AM -
2:00 PM
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Virtual
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Modern Statistical Learning Methods — Contributed Papers
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Section on Statistical Learning and Data Science
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Chair(s): Sai Li, University of Pennsylvania
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Comparison of the Performance of Different Recurrent Neural Network Models on Sequence Classification: A Simulation Study
Dawei Liu, Biogen; Charlie Cao, Biogen
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Improved Strategies for Clustering Objects on Subsets of Attributes
Maarten Kampert; Jacqueline Meulman, Leiden University, Stanford University ; Jerome Friedman, Stanford University
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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
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Classification Method Optimization
Brooke McGinley, Rowan University; Liam Doherty, Rowan University; Umashanger Thayasivam, Rowan University
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On the Consistent Estimation of Receiver Operating Characteristic (ROC) Curve
Renxiong Liu, Ohio State University; Yunzhang Zhu, Ohio State University
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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
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