Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building,
CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,
UC = Conference Chicago at University Center
* = applied session ! = JSM meeting theme
Activity Details
131
Mon, 8/1/2016,
8:30 AM -
10:20 AM
CC-W195
Matrix Decomposition, Factor Models, and Applications to Recommender Systems — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Erin M. Schliep, University of Missouri
8:35 AM
Orthogonal Symmetric Non-Negative Matrix Factorization Under Stochastic Block Model
—
Subhadeep Paul, University of Illinois at Urbana-Champaign ; Yuguo Chen, University of Illinois at Urbana-Champaign
8:50 AM
Sparse Spatial Dynamic Factor Model with Basis Expansion
—
Takamitsu Araki ; Shotaro Akaho, National Institute of Advanced Industrial Science and Technology
9:05 AM
A Statistical Algorithm for Phantom Clustering Using PPCA
—
Wei Q. Deng, University of Toronto ; Radu V. Craiu, University of Toronto
9:20 AM
Learning Network Dynamics via Regularized Tensor Decomposition
—
Yun-Jhong Wu, University of Michigan ; Elizaveta Levina, University of Michigan ; Ji Zhu, University of Michigan
9:35 AM
Incorporating Informative Missingness into a Regression-Based Recommender System
—
Lin Su, North Carolina State University ; Howard Bondell, North Carolina State University
9:50 AM
E-Learning Data Analysis for Building a Personalized Recommendation System
—
Shuang Liu ; K.F. LAM, The University of Hong Kong
10:05 AM
Tree-Like Structure Classification Based on Distance Matrix LU Decomposition with Application to Galaxy Profile Data
—
Jianan Hui, University of California at Riverside ; Xinping Cui, University of California at Riverside ; James Flegal, University of California at Riverside ; Miguel Aragon-Calvo, University of California at Riverside
