JSM 2021 Online Program
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Wed, 8/11/2021, 1:30 PM - 3:20 PM
Virtual
SLDS CSpeed 5 — Contributed Speed
Section on Statistical Learning and Data Science
Chair(s): Jinming Li, University of Michigan
1:35 PM
Skeleton Clustering: Dimension-Free Density-Based Clustering
1:40 PM
A New Algorithm for Convex Biclustering and Its Extension to the Compositional Data
1:45 PM
Optimal Imperfect Classification for Functional Data
1:50 PM
A Penalized Model-Based Coclustering Algorithm
1:55 PM
Unsupervised Clustering of Aging Individuals Using Multi-Region Brain Transcriptomes
2:00 PM
Clustering and Directional Outlier Detection with Missing Information
2:05 PM
How Many Clusters Are Best? Investigating Model Selection in Robust Clustering
2:10 PM
Consistency of Privacy-Preserving Spectral Clustering of Block Models
2:15 PM
Unsupervised Feature Decorrelation for Variable Selection
2:20 PM
PCAN: Principal Component Analysis for Networks
2:30 PM
Longitudinal Cluster Analysis Using Segmented-LSTM with Applications of Weight Loss Trajectories Following RYGB Surgery
2:35 PM
WITHDRAWN Assessing Classification Uncertainty on Astronomical Objects with Measurement Error
2:40 PM
Semi-Supervised Classification and Visualization of Multi-View Data
2:45 PM
Comparing the Accuracy Classification of the Machine Learning Algorithms Using Anxiety Data
2:50 PM
Spatial Autoregressive Mode Parameter Estimation and Inference Using Stochastic Gradient Descent and Bootstrap Perturbation
2:55 PM
Precision Learner in Classification: A Subject-Based Approach for Classification Using Item Response Theory for Ensemble Machine Learning
3:00 PM
Classification for Imbalanced Data
3:05 PM
WITHDRAWN: A Virtual Multi-Label Approach to Imbalanced Data Classification
3:10 PM
Classification Accuracy Evaluation for Five Machine-Learning Classification Methods in Identifying Rare Cases in Education Assessment
3:15 PM
A Novel Application of Finite Gaussian Mixture Model (GMM) Using Real and Simulated Biomarkers of Cardiovascular Disease to Distinguish Adolescents with and Without Obesity
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