Online Program Home
My Program

Keyword Search

Legend:
CC = Vancouver Convention Centre   F = Fairmont Waterfront Vancouver
* = applied session       ! = JSM meeting theme

Keyword Search Criteria: unsupervised returned 15 record(s)
Sunday, 07/29/2018
Regularized Aggregation of Statistical Parametric Maps
Cheolwoo Park, University of Georgia; Li-Yu Wang, University of Georgia; Jongik Chung, University of Georgia; Hosik Choi, University of Georiga; Amanda Rodrigue, University of Georgia; Jordan Pierce, University of Georgia; Brett Clementz, University of Georgia; Jennifer McDowell, University of Georgia
3:20 PM

Monday, 07/30/2018
Computing Mean Partition and Assessing Uncertainty for Clustering Analysis
Beomseok Seo, Penn State University; Lin Lin, The Pennsylvania State University; Jia Li, Penn State University


A Generalized Fellegi-Sunter Framework for Unsupervised Collective Record Linkage in Clustered Relational Data with Applications to Electronic Health Records
Nicole Solomon, Duke University Medical Center; Sean M O'Brien, Duke University Medical Center; Joseph Lucas, Duke University


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


Bayesian and Unsupervised Machine Learning Machines for Jazz Music Analysis
Qiuyi Wu, ASA; Ernest Fokoue, ASA


Classification Accuracy of Unsupervised Learning Methods with Discrete and Mixture Distributed Indicators: a Monte Carlo Simulation Study
Chi Chang


Maximum Diversity Weighting for Biomarkers with Application in HIV-1 Vaccine Studies
Zonglin He, Fred Hutchinson Cancer Research Center; Youyi Fong, Fred Hutchinson Cancer Research Center
11:55 AM

Tuesday, 07/31/2018
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


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

Unsupervised Learning for Deciphering Mutational Signatures in Human Cancer
Ludmil B Alexandrov, University of California, San Diego; Velimir V Vesselinov, Los Alamos National Lab; Boian S Alexandrov, Los Alamos National Lab
2:55 PM

Wednesday, 08/01/2018
Interpretable Analysis of Team Performance in Soccer Using Tracking Data: a Hybrid of Supervised and Unsupervised Methods.
Paul David Power, STATS
8:35 AM

A Transformation-Based K-Means Algorithm for Skewed Data
Nicholas S Berry, Iowa State University; Ranjan Maitra, Iowa State University
8:35 AM

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

Unsupervised Clustering of Physical Activities and Its Application in Health Studies
Jiawei Bai, Johns Hopkins University; Ciprian Crainiceanu, Johns Hopkins University
2:25 PM

Cooperative Learning of Deep Energy-Based Model and Latent Variable Model via MCMC Teaching
Ying Nian Wu, UCLA
2:30 PM