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203
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Tue, 8/4/2020,
10:00 AM -
2:00 PM
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Virtual
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Contemporary Machine Learning — Contributed Papers
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Section on Statistical Learning and Data Science, Text Analysis Interest Group
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Chair(s): Michael Lavine, Army Research Office
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Risk Minimization Under Sampling Bias Arising from Customer Interactions
Scott Rome, Comcast; Michael Kreisel, Comcast
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An Optimal Approach in Adaptive Collection Reducing the Bias
Tong Wang
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Transfer Learning for Auto-Coding Free-Text Survey Responses
Peter Baumgartner, RTI International; Amanda Smith, RTI International; Murrey Olmsted, RTI International; Dawn Ohse, RTI International; Bucky Fairfax, RTI International
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Post-Hoc Mixture Models of the Best Linear Unbiased Predictors from Linear Mixed Effects Models to Classify Longitudinal Data with Haphazardly Spaced Intervals: A Simulation Study
Md Hossain, Nemours Biomedical Research, A.I. DuPont Children's Hospital; Benjamin E Leiby, Division of Biostatistics
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Modeling Temporary Shocks with Latent Processes for High-Dimensional Demand Time Series
Benedikt Sommer, Maersk ; Klaus Kähler Holst, Maersk Research & Data; Pierre Pinson, Technical University of Denmark
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Real-Time Regression Analysis of Streaming Clustered Data Sets
Lan Luo, University of Michigan; Peter X.K. Song, University of Michigan
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