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268 * ! Tue, 8/4/2020, 1:00 PM - 2:50 PM Virtual
Extreme Machine Learning Methods and Applications: Domestic and International — Topic Contributed Papers
Section on Statistical Consulting, Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Kelly Toppin, IMT Corporation
Chair(s): Lu Chen, National Institute of Statistical Sciences
1:05 PM Hierarchical Gaussian Processes for Outlier Detection
Felix Jimenez, National Institute of Standards and Technology
1:25 PM Empirical data-fusion approaches to generate model covariates
Luca Sartore, National Institute of Statistical Sciences; Jake Abernethy, NASS; Claire Boryan, USDA; Lu Chen, USDA; Kevin Hunt, USDA; CLIFFORD H SPIEGELMAN, Texas A&M University; Linda J Young, NASS
1:45 PM Early Season Planted Acreage Estimates Using Machine Learning
Jake Abernethy, NASS; Claire Boryan, USDA; Kevin Hunt, USDA; Luca Sartore, National Institute of Statistical Sciences
2:05 PM Classifying Evolving Data Streams
Kelly Toppin, IMT Corporation; Luca Sartore, National Institute of Statistical Sciences
2:25 PM Floor Discussion