Online Program Home
My Program

Keyword Search

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

Keyword Search Criteria: supervised learning returned 16 record(s)
Sunday, 07/29/2018
Novel Methods for Gene Set Enrichment Analysis with Empirical Memberships for Overlapping Genes
Yun Zhang, University of Rochester; Xing Qiu, University of Rochester


High-dimensional Cost-constrained Regression via Non-convex Optimization
Yufeng Liu, University of North Carolina at Chapel Hill
2:05 PM

Novel Methods for Gene Set Enrichment Analysis with Empirical Memberships for Overlapping Genes
Yun Zhang, University of Rochester; Xing Qiu, University of Rochester
3:05 PM

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


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


BENCHMARKING the EFFECTIVENESS of CATEGORICAL RESPONSE VARIABLE MODELS and THEIR VISUALIZATIONS on WEATHER DATA
Kristen Bystrom; Zhi Yuh Ou Yang, Simon Fraser University; Lei Chen, Simon Fraser University


BENCHMARKING the EFFECTIVENESS of CATEGORICAL RESPONSE VARIABLE MODELS and THEIR VISUALIZATIONS on WEATHER DATA
Kristen Bystrom; Zhi Yuh Ou Yang, Simon Fraser University; Lei Chen, Simon Fraser University
9:50 AM

Tuesday, 07/31/2018
A Comparison of Automatic Algorithms for Occupation Coding
Malte Schierholz, Institute for Employment Research
2:50 PM

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

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

Dimension Reduction of High-Dimensional Data Sets Based on Stepwise SVM
Elizabeth Chou, National Chengchi University; Tzu-Wei Ko, National Chengchi University
3:35 PM

Thursday, 08/02/2018
Semi-Supervised Learning for Joint Association and Classification Analysis of Multimodal Data
Yunfeng Zhang, Texas A&M University; Irina Gaynanova, Texas A&M Univeristy
11:35 AM

Classification of Healthcare Data: When Scarcity of Labeled Data Is the Norm Semi-Supervised Learning Methods Can Come to the Rescue
Didem Egemen, The George Washington University; Paulo Macedo, Integrity Management Services Inc.; Sewit Araia, Integrity Management Services Inc.
11:35 AM