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Keyword Search Criteria: Random forest returned 29 record(s)
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Sunday, 07/29/2018
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Deep Learning for Statistical Inference in Infectious Disease Systems
Rob Deardon, University of Calgary; Carolyn Augusta, University of Guelph; Graham Taylor, University of Guelph
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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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Empirical Evaluation for Platt Scaling and Isotonic Regression
Weihua Shi, SAS Institute, Inc.
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Predictive Big Data Analytics in Mental Disorders Using the UK Biobank
Yiwang Zhou, University of Michigan; Ivo Dinov, Statistics Online Computational Resource, University of Michigan; Simeone Marino, Statistics Online Computational Resource, University of Michigan
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An Algorithm to Compare Patterns and Its Application on Shoe Out-Sole Impressions
Soyoung Park, Iowa State University / CSAFE; Alicia Carriquiry, Iowa State University
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Predicting Hospital Readmission for Diabetes Patients by Classical and Machine Learning Approaches
Gabrielle LaRosa, University of Pittsburgh; Chathurangi Pathiravsan, Southern Illinois University Carbondale; Rajapaksha Wasala M Anusha Madushani, University of Florida
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Estimating Causal Effect by Difference in Difference via Random Forest
Tomoshige Nakamura, Graduate School of Science and Technology, Keio University; Mihoko Minami, Keio University
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Estimating Causal Effect by Difference in Difference via Random Forest
Tomoshige Nakamura, Graduate School of Science and Technology, Keio University; Mihoko Minami, Keio University
12:05 PM
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Double Random Forest
Yung-Seop Lee, Dongguk University; Hyun-Joong Kim, Yonsei University; Sun-Woo Han, Yonsei University
2:05 PM
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Tuesday, 07/31/2018
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A Study in the Use of Unsupervised Random Forest in the Analysis of Data Sets Composed of Categorical Variables/Features
Nelson Lee Afanador, Merck; Richard Baumgartner, Merck; Dai Feng, Merck
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The Simple Story of Advanced NBA Metrics
Zach Fulker, University of Pittsburgh; Tyler Folta, University of Pittsburgh; Lucas Mentch, University of Pittsburgh
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Random Forests for Big Data
Jean-Michel Poggi, LMO, University Paris Sud; Robin Genuer, ISPED, Univ. Bordeaux ; Nathalie Villa-Vialaneix, MIA-T, INRA of Toulouse; Christine Tuleau-Malot , University Nice, CNRS, LJAD
8:55 AM
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Distributional Trees and Forests
Lisa Schlosser, University of Innsbruck; Torsten Hothorn, University of Zurich; Reto Stauffer, University of Innsbruck; Achim Zeileis, University of Innsbruck
9:15 AM
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A Study in the Use of Unsupervised Random Forest in the Analysis of Data Sets Composed of Categorical Variables/Features
Nelson Lee Afanador, Merck; Richard Baumgartner, Merck; Dai Feng, Merck
9:20 AM
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Beyond the Bagg: Consistent Importance Intervals for Random Forest Predictors
Lucas Mentch, University of Pittsburgh; Giles Hooker, Cornell University
9:35 AM
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On the Asymptotics of Tree-Based Survival Models
Ruoqing Zhu, University of Illinois Urbana-Champaign; Yifan Cui, University of North Carolina at Chapel Hill; Michael Kosorok, University of North Carolina at Chapel Hill; Mai Zhou, University of Kentucky
9:55 AM
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The Simple Story of Advanced NBA Metrics
Zach Fulker, University of Pittsburgh; Tyler Folta, University of Pittsburgh; Lucas Mentch, University of Pittsburgh
11:50 AM
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Wednesday, 08/01/2018
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Exposure-Response Analysis with Random Forest
Zifang Guo, Merck; Thomas Jemielita, Merck & Co.; John Kang, Merck
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Iterative Random Forests (IRF) to Discover Predictive and Stable High-Order Interactions
Bin Yu, UC Berkeley; Sumanta Basu, Cornell University; Karl Kumbier, UC Berkeley; Ben Brown, LBNL and University of Birmingham
9:50 AM
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Exposure-Response Analysis with Random Forest
Zifang Guo, Merck; Thomas Jemielita, Merck & Co.; John Kang, Merck
10:00 AM
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Repeated Measures Random Forests: Identifying Factors Associated with Nocturnal Hypoglycemia
Juanjuan Fan, San Diego State University; Peter Calhoun, Dexcom, Inc.; Richard Levine, San Diego State University
10:50 AM
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Identifying Farming Practices and Characteristics Associated with Higher Incomes for Smallholder Farms in Kibaale District, Uganda
Yew-Meng Koh, Hope College
11:05 AM
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Locally Linear Forests: Leveraging Smoothness with Random Forests
Rina Friedberg, Stanford University; Julie Tibshirani, Palantir Technologies; Susan Athey, Stanford University; Stefan Wager, Stanford University
11:20 AM
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Conditional Quantile Regression Tree/Random Forest
Huichen Zhu; Ying Wei, Columbia University
11:35 AM
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Spectral Clustering via Unsupervised Random Forests
William Biscarri, University of Illinois at Urbana-Champaign; Robert J. Brunner, University of Illinois at Urbana-Champaign; Ruoqing Zhu, University of Illinois Urbana-Champaign
11:50 AM
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Flexible Locally Weighted Penalized Regression with Applications on Prediction of ADNI Clinical Scores
Peiyao Wang; Yufeng Liu, University of North Carolina at Chapel Hill; Dinggang Shen, University of North Carolina at Chapel Hill
11:55 AM
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Comparing Non-Response Adjustment Methods in the Panel on Household Finances
Panagiota Tzamourani, Deutsche Bundesbank; Julian Sengewald, University of Bamberg
2:05 PM
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