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499 Thu, 8/6/2020, 10:00 AM - 2:00 PM Virtual
New Methods for Machine Learning — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Dawei Liu, Biogen
Transfer Learning in High-Dimensional Sparse Regression: Estimation, Prediction, and Minimax Optimality
Sai Li, University of Pennsylvania; Hongzhe Li, University of Pennsylvania; Tony Cai, University of Pennsylvania
Large-Scale Anomaly Detection Based on Ensemble Learning
Xi Zhang, Huawei Technologies; Kai Chen, Huawei Technologies; Zhihua Lv, Huawei Technologies; Rongjun Xu, Huawei Technologies
Random Forest-Classification of Area Socioeconomic Status (SES) and Mortality Risk in Pediatric Acute Lymphoblastic Leukemia (ALL) in the US
Fatima Boukari, Delaware State University; Hacene Boukari, Delaware State University; Md Hossain, Nemours Biomedical Research, A.I. DuPont Children's Hospital
Augmented Bagging as an Alternative to Random Forests
Siyu Zhou, University of Pittsburgh; Lucas Mentch, University of Pittsburgh
Machine Learning Techniques for Prediction of Retail Violation of Tobacco Products
Adams Kusi Appiah, University of Nebraska Medical Center; Hongying Dai, University of Nebraska Medical Center