Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building,
CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,
UC = Conference Chicago at University Center
* = applied session ! = JSM meeting theme
Activity Details
432
Tue, 8/2/2016,
2:00 PM -
3:50 PM
CC-W178b
New Approaches in Classification Methods — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Jason Gillikin, Priority Health
2:05 PM
L-CC Classification and Variable Selection for Multi-Label Data Sets
—
Monika Stupalova du Toit, Stellenbosch University ; Sarel Steel, Stellenbosch University
2:20 PM
Multi-Class ROC Tree and Random Forest for Imbalanced Data Classification
—
Jiaju Yan, SUNY Stony Brook ; Wei Zhu, SUNY Stony Brook ; Bowen Song, Ocean University of China
2:35 PM
Efficient Sampling Strategy for SVM Through Semi-Supervised Active Learning
—
Yaru Shi, University of Illinois at Chicago ; Yoonsang Kim, University of Illinois at Chicago ; Ganna Kostygina, University of Illinois at Chicago ; Sherry Emery, University of Illinois at Chicago
2:50 PM
Feature Selection for Class-Imbalanced Data Using Binormal Precision-Recall Curves
—
Zhongkai Liu, North Carolina State University ; Howard Bondell, North Carolina State University
3:05 PM
Nonparametric Classification Using a Forest Dependency Structure
—
Mary Frances Dorn, Texas A&M University ; Clifford Spiegelman, Texas A&M University ; Amit Moscovich, Weizmann Institute of Science ; Boaz Nadler, Weizmann Institute of Science
3:20 PM
Statistical Learning Toolbox for Prediction
—
Umashanger Thayasivam, Rowan University
3:35 PM
Big Data Methods for Scraping Government Tax Revenue from the Web
—
Brian Dumbacher, U.S. Census Bureau ; Cavan Capps, U.S. Census Bureau
