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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

Keyword Search Criteria: Supervised learning returned 9 record(s)
Monday, 08/01/2016
Dispersion Modeling with an Ensemble of Trees
Hugh Chipman, Acadia University; Matthew Pratola, The Ohio State University; Robert McCulloch, The University of Chicago; Edward I. George, The Wharton School
9:00 AM

Large-Margin Classification with Multiple Decision Rules
Patrick Kimes, Roche Sequencing; Yufeng Liu, The University of North Carolina at Chapel Hill; J. S. Marron, The University of North Carolina at Chapel Hill; David Neil Hayes, The University of North Carolina at Chapel Hill
2:45 PM

Tuesday, 08/02/2016
Unsupervised Anomaly Detection in Time Series with Application in Electricity Demand Forecasting
Bei Chen, IBM Research; Mathieu Sinn, IBM Research; Ulrike Fischer , IBM Research
8:55 AM

Decoding Brain States from fMRI Data with a Machine Learning Method
Elizabeth Chou
10:35 AM

Matchmaker, Data Scientist, or Both? Using Unsupervised Learning Methods for Matching Nonprobability Samples to Probability Sample
Trent Buskirk, Marketing Systems Group; David Dutwin, SSRS
11:35 AM

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
2:35 PM

Wednesday, 08/03/2016
Segmentation Analysis in Market Research
Joseph Retzer, ACT Market Research Solutions; Ewa Nowakowska, GfK


On Safe Semi-Supervised Learning
Kenneth Ryan; Mark Culp, West Virginia University
11:20 AM

Archetypal Analysis: Three Case Studies
Anna Quach; Adele Cutler, Utah State University
3:05 PM

 
 
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