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Keyword Search Criteria: statistical learning returned 14 record(s)
Sunday, 07/30/2017
The Use of Artificial Neural Network in Time Series Forecasting
Taysseer Sharaf, University of Michigan- Dearborn
2:20 PM

Monday, 07/31/2017
Using Statistical Learning to Develop a More Sensitive Outcome for Progressive Multiple Sclerosis
Christopher Barbour, Montana State University; Mark Greenwood, Montana State University; Peter Kosa, National Institute of Neurological Disorders and Stroke, National Institutes of Health; Danish Ghazali, National Institute of Neurological Disorders and Stroke, National Institutes of Health; Makoto Tanigawa, National Institute of Neurological Disorders and Stroke, National Institutes of Health; Blake Snyder, National Institute of Neurological Disorders and Stroke, National Institutes of Health; Bibiana Bielekova, National Institute of Neurological Disorders and Stroke, National Institutes of Health


On Reject and Refine Options in Multicategory Classification
Chong Zhang, Seattle, Washington ; Wenbo Wang, Binghamton University; Xingye Qiao, Binghamton University
8:55 AM

SVM-CART for Disease Classification
Evan Reynolds, University of Michigan; Mousumi Banerjee, University of Michigan; Brian Callaghan, University of Michigan
9:35 AM

There Has to Be an Easier Way: a Simple Alternative for Parameter Tuning of Supervised Learning Methods
Jill Lundell
10:35 AM

Tuesday, 08/01/2017
Three Methods for Occupation Coding Based on Statistical Learning
Matthias Schonlau, University of Waterloo; Hyukjun Gweon; Lars Kaczmirek, GESIS; Michael Blohm, GESIS; Stefan Steiner, University of Waterloo


Robust Feature Selection and Cell Line Classification with Electric Cell-Substrate Impedance Sensing Data
Megan Gelsinger, Cornell University; David S Matteson, Cornell University; Laurie Tupper, Williams College


Robust Feature Selection and Cell Line Classification with Electric Cell-Substrate Impedance Sensing Data
Megan Gelsinger, Cornell University; David S Matteson, Cornell University; Laurie Tupper, Williams College
8:50 AM

Predicting Industry Output with Statistical Learning Methods
Peter Meyer, U.S. Bureau of Labor Statistics; Wendy Martinez, Bureau of Labor Statistics
11:20 AM

Predictive Analytics in Industrial Asset Health Management
Wenyu Zhao, Schlumberger
11:35 AM

Wednesday, 08/02/2017
Group Fused Multinomial Regression
Brad Price, West Virginia University; Adam Rothman, University of Minnesota; Charles Geyer, University of Minnesota


A Parallel EM Algorithm for Statistical Learning via Mixture Models
Geoffrey McLachlan, The University of Queensland
8:35 AM

Group Fused Multinomial Regression
Brad Price, West Virginia University; Adam Rothman, University of Minnesota; Charles Geyer, University of Minnesota
9:45 AM

Thursday, 08/03/2017
Comparison and validation of statistical methods for predicting tree failure during storm
Elnaz Kabir; Seth Guikema, University of Michigan
10:05 AM

 
 
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