Keyword Search
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
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Keyword Search Criteria: Supervised returned 31 record(s)
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Monday, 08/01/2016
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Unsupervised Bump Hunting with Split-and-Recombine
Miriam Elman, Oregon Health & Science University; Jinho Park, Inha University; George Tiao, The University of Chicago; Dongseok Choi, Oregon Health & Science University
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Accelerometer Wear and Non-Wear Classification Using an Ensemble of Unsupervised Predictors
Madalina Fiterau Brostean, Stanford University; Manisha Desai, Stanford University; Jennifer Hicks, Stanford University; Thomas Robinson, Stanford University
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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
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Supervised Functional Principal Component Analysis
Yunlong Nie, Simon Fraser University; Jiguo Cao, Simon Fraser University
10:35 AM
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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
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Nonparametric Estimation and Classification for Functional Data with Spatial Correlation
Yuan Wang, Washington State University; Brian Hobbs, MD Anderson Cancer Center; Kim-Anh Do, MD Anderson Cancer Center; Jianhua Hu, MD Anderson Cancer Center
3:20 PM
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Tuesday, 08/02/2016
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Dimension-Reduction Techniques for Predictive Modeling
Zhen Zhang, C Spire; Lei Zhang, Mississippi State Department of Health; Kendell Churchwell, C Spire; James Veillette, C Spire
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Supervised Integrated Principal Component Analysis
Gen Li, Columbia University; Sungkyu Jung, University of Pittsburgh
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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
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Surrogate Aided Unsupervised Recovery of Sparse Signals in Single Index Models for Binary Outcomes Using Extreme Sampling
Abhishek Chakrabortty, Harvard; Tianxi Cai, Harvard
9:50 AM
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Decoding Brain States from fMRI Data with a Machine Learning Method
Elizabeth Chou
10:35 AM
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Supervised Integrated Principal Component Analysis
Gen Li, Columbia University; Sungkyu Jung, University of Pittsburgh
11:10 AM
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Functional Divergence-Based Classification for Single-Cell Data
Ollivier Hyrien, University of Rochester
11:15 AM
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Semi-Supervised Bootstrap Methods
Bradley Ferguson, Quintiles; Eric Laber, North Carolina State University; Leonard Stefanski, North Carolina State University
11:20 AM
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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
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Dimension-Reduction Techniques for Predictive Modeling
Zhen Zhang, C Spire; Lei Zhang, Mississippi State Department of Health; Kendell Churchwell, C Spire; James Veillette, C Spire
11:40 AM
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Supervised Implicit Network Construction and Analysis of Related Network-Wide Metrics
Brandon Park; Anand N. Vidyashankar, George Mason University; Tucker McElroy, U.S. Census Bureau; Jie Xu, George Mason University
11:55 AM
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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
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Statistical Learning Toolbox for Prediction
Umashanger Thayasivam, Rowan University
3:20 PM
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