Keyword Search
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* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Statistical Learning returned 20 record(s)
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Sunday, 07/29/2018
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Statistical Learning on Next-Generation Sequencing of T Cell Repertoire Data
Li Zhang, UCSF School of Medicine, UCSF; Tao He, San Francisco State University; Alan Paciorek, University of California, San Franciscornia ; Jason Cham, University of California, San Francisco; David Oh, University of California, San Francisco; Lawrence Fong, University of California, San Francisco
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Statistical Learning on Next-Generation Sequencing of T Cell Repertoire Data
Li Zhang, UCSF School of Medicine, UCSF; Tao He, San Francisco State University; Alan Paciorek, University of California, San Franciscornia ; Jason Cham, University of California, San Francisco; David Oh, University of California, San Francisco; Lawrence Fong, University of California, San Francisco
3:10 PM
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Monday, 07/30/2018
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A Generalization of Convolutional Neural Networks to Graph-Structured Data
Yotam Hechtlinger, Carnegie Mellon Univ; Purvasha Chakravarti, Carnegie Mellon University; Jining Qin, Carnegie Mellon University
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Deep Learning on Small Data - Experiences in Transfer Learning for Healthcare
Dennis Murphree
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Deep Learning on Small Data - Experiences in Transfer Learning for Healthcare
Dennis Murphree
8:40 AM
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Learning from Dynamical Systems
Ingo Steinwart, University of Stuttgart
9:05 AM
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Iterative Quantile Nearest-Neighbors
Karsten Maurer, Miami University
3:05 PM
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Using Predictive Modeling in Survey Methodology to Identify Panel Nonresponse
Bernd Weiss, GESIS - Leibniz-Institute for the Social Sciences; Jan-Philipp Kolb, GESIS - Leibniz-Institute for the Social Sciences; Christoph Kern, University of Mannheim
3:05 PM
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Ensemble of Iterative Classifier Chains for Multi-Label Classification
Zhoushanyue He, University of Waterloo; Matthias Schonlau, University of Waterloo
3:35 PM
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Tuesday, 07/31/2018
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Performance Comparison of Post-Hoc Subgroup Search Algorithms for Clinical Trials
Victor Talisa, University of Pittsburgh; (Joyce) Chung-Chou H. Chang, University of Pittsburgh
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Using Predictive Modeling in Survey Methodology to Identify Panel Nonresponse
Bernd Weiss, GESIS - Leibniz-Institute for the Social Sciences; Jan-Philipp Kolb, GESIS - Leibniz-Institute for the Social Sciences; Christoph Kern, University of Mannheim
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Claim-Level Models Using Statistical Learning Techniques and Risk Analysis
Mathieu Pigeon, Université du Québec à Montréal; Francis Duval, Université du Québec à Montréal
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Performance Comparison of Post-Hoc Subgroup Search Algorithms for Clinical Trials
Victor Talisa, University of Pittsburgh; (Joyce) Chung-Chou H. Chang, University of Pittsburgh
9:40 AM
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Claim-Level Models Using Statistical Learning Techniques and Risk Analysis
Mathieu Pigeon, Université du Québec à Montréal; Francis Duval, Université du Québec à Montréal
10:35 AM
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