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660
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Thu, 8/1/2019,
10:30 AM -
12:20 PM
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CC-302
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Machine Learning: Advances and Applications — Contributed Papers
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Section on Statistical Learning and Data Science
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Chair(s): Brandon Greenwell, 84.51ยบ
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10:35 AM
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A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data
Martin Slawski, George Mason Univ; Emanuel Ben-David, US Census Bureau
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10:50 AM
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Beyond Test Scores: Scaling Item Response Theory Modeling for Large-Volume Machine-Learning Applications
Lauren Harrell, Google
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11:05 AM
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Using Machine Learning Algorithms to Reduce Data Collection Costs
Gavin Corral, National Agricultural Statistics Service (NASS); Tyler Wilson, USDA, NASS
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11:20 AM
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Where Do I Begin? Tuning Support Vector Machines and Boosted Trees
Jill Lundell, Utah State University
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11:35 AM
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Classification and Regression Tree Analysis for Participation in Surveys with Physical Measurements
Kelly Diecker, ICF; Richard (Lee) Harding, ICF
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11:50 AM
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Regularized High-Dimensional Low Tubal Rank Tensor Regression and Its Applications
Samrat Roy, University of Florida; George Michailidis, University of Florida
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12:05 PM
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Random Projection for Tensor
Rejaul Karim, Michigan State University; Taps Maiti, Michigan State University
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