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* = applied session ! = JSM meeting theme
Activity Details
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