Keyword Search
Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
|
Keyword Search Criteria: Feature selection returned 15 record(s)
|
|
Monday, 07/30/2018
|
Feature Selection and Classification Using Sparse Envelope Model
Minji Lee, University of Florida; Zhihua Su, University of Florida
|
Sound and Solid Selection of Covariates - a Simulation Study
Kira Dynnes Svendsen, Technical University of Denmark; Nina Munkholt Jakobsen, Technical University of Denmark
|
Machine Learning with Ensemble Feature Selections for Mass Spectrometry Data in Cancer Study
Yulan Liang, University of Maryland Baltimore; Amin Gharipour, Griffith University; Arpad Kelemen, University of Maryland Baltimore; Adam Kelemen, University of Maryland College Park; Hui Zhang, Johns Hopkins Medical Institutions
|
Deep Feature Selection and Causal Inference for Alzheimer's Disease
Yuanyuan Liu, The University of Texas Health Science Center at Houston; Qiyang Ge, Fudan University; Nan Lin, The University of Texas Health Science Center at Houston; Wenjia Peng, Bengbu Medical College; Rong Jiao, The University of Texas Health Science Center at Houston; Xuesen Wu, Bengbu Medical College; Momiao Xiong, The University of Texas Health Science Center at Houston
11:50 AM
|
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
|
Statistical Analysis of Radiomics Data
Samantha Morrison, Brown University; Firas Ahmed, Columbia University; Lin Lu, Columbia University; Constantine Gatsonis, Brown University; Binsheng Zhao, Columbia University
|
Identifying Morphologies of Precancerous Cells
Theresa Gebert, Carnegie Mellon University
|
Feature Selection in L0 Norm: a Viable Approach
Ana Maria Kenney, Pennsylvania State University; Francesca Chiaromonte, The Pennsylvania State University; Giovanni Felici, IIASI CNR
9:05 AM
|
Budget-Constrained Feature Selection for Binary Classification: a Neyman-Pearson Approach
Yiling Chen, University of California, Los Angeles; Xin Tong, University of Southern California; Jingyi Li, University of California, Los Angeles
10:05 AM
|
Simple Bootstrap and Simulation Approaches to Quantifying Reliability of High-Dimensional Feature Selection
Frank Harrell, Vanderbilt University, Dept of Biostatistics
10:35 AM
|
|
|
