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CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: random forest returned 26 record(s)
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Sunday, 07/30/2017
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Walk on Random Forests
Erwan Scornet, Ecole Polytechnique; Gérard Biau, University Paris 6; Jean-Philippe Vert, Mines Institut Curie
4:05 PM
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Central Limit Theorems and Hypothesis Tests for Random Forests
Lucas K Mentch, University of Pittsburgh; Giles J Hooker, Cornell University
4:30 PM
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Censoring Unbiased Regression Trees and Ensembles
Robert Strawderman, University of Rochester
4:55 PM
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Detecting Local Sparsity and High-Order Interactions with Iterative Random Forests
Sumanta Basu, Cornell University; James Bentley Brown, Lawrence Berkeley National Laboratory; Bin Yu, University of California, Berkeley
4:55 PM
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ESTIMATION of AVERAGE TREATMENT EFFECTS AMONG MULTIPLE TREATMENT GROUPS by USING ADAPTIVE ENSEMBLE METHOD
Maiying Kong, University of Louisville
5:05 PM
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Tuesday, 08/01/2017
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Big Data Noise Accumulation in Classification with Random Forest
Dongseok Choi, Oregon Health & Science Univ; Miriam R Elman, Oregon Health & Science University
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A Simulation Study to Evaluate Variable Importance Measures in Random and Conditional Inference Forests with Imputation for Data with Missing and Correlated Predictors
Hung-Wen Yeh; Rayus Kuplicki, Laureate Institute for Brain Research; Trang Le, University of Tulsa; Martin P. Paulus, Laureate Institute for Brain Research
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On the Interpretation of Ensemble Classifiers in Terms of Bayes Classifiers
Tri Le, University of Nebraska; Bertrand Clarke, University of Nebraska
10:55 AM
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A Simulation Study to Evaluate Variable Importance Measures in Random and Conditional Inference Forests with Imputation for Data with Missing and Correlated Predictors
Hung-Wen Yeh; Rayus Kuplicki, Laureate Institute for Brain Research; Trang Le, University of Tulsa; Martin P. Paulus, Laureate Institute for Brain Research
11:15 AM
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An IAB Taxonomy-Based Classifier for Categorizing High Volume Noisy Data of User Generated URLs
Zainab Jamal, Guavus Inc; Peng Wang, Guavus; Roger Brooks, Guavus; Prateek Jain, Guavus; Mudit Jain, Guavus; Kuldeep Jiwani, Guavus; Karun Arora, Guavus; Nisha Vashist, Guavus; Sahil Jain, Guavus; Shipra Kapadia, Guavus
2:50 PM
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Wednesday, 08/02/2017
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Regression-Enhanced Random Forests
Haozhe Zhang, Iowa State University; Dan Nettleton, Iowa State University; Zhengyuan Zhu, Iowa State University
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Exploring High-Dimensional Feature Selection Using Reproducibility Methodology
Frank Shen, Penn State University
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A Robust Residual-Based Approach for Random Forest Regression
Andrew Sage, Iowa State University; Ulrike Genschel, Iowa State University; Dan Nettleton, Iowa State University
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Adaptive Pruning for Random Forests: It Helps
Thomas Loughin, Simon Fraser University; Andrew Henrey, Simon Fraser University
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Regression-Enhanced Random Forests
Haozhe Zhang, Iowa State University; Dan Nettleton, Iowa State University; Zhengyuan Zhu, Iowa State University
8:45 AM
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Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods
Hemant Ishwaran, University of Miami
9:00 AM
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Exploring High-Dimensional Feature Selection Using Reproducibility Methodology
Frank Shen, Penn State University
9:15 AM
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A Robust Residual-Based Approach for Random Forest Regression
Andrew Sage, Iowa State University; Ulrike Genschel, Iowa State University; Dan Nettleton, Iowa State University
9:20 AM
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Assessing the Informational Content of Seasonality Tests by Random Forests of Conditional Inference Trees
Daniel Ollech, Deutsche Bundesbank; Karsten Webel, Deutsche Bundesbank
9:35 AM
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Adaptive Pruning for Random Forests: It Helps
Thomas Loughin, Simon Fraser University; Andrew Henrey, Simon Fraser University
9:35 AM
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Thursday, 08/03/2017
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Comparison of Variable Selection Methods on a National Survey of Drug Use and Health
Georgiy Bobashev, RTI International; Li-Tzy Wu, Duke University
9:35 AM
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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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Comparing Spatial Regression to Random Forests for Large Environmental Data Sets
Eric Fox, US EPA, Western Ecology Division; Jay Ver Hoef, NOAA, National Marine Mammal Laboratory; Anthony Olsen, US EPA, Western Ecology Division
10:50 AM
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Using the Random Forest Model to Mitigate Nonresponse Bias
Thagendra Timsina
11:05 AM
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