Technical Program

Paper Detail

Note: All times are in Pacific Daylight Time (UTC -7)
Paper: D-4.4
Paper Title:  Semi-supervised Nonnegative Matrix Factorization for Document Classification
Authors:  Jamie Haddock, Thomas Merkh, UCLA, United States; Lara Kassab, Colorado State University, United States; Sixian Li, University of Illinois, Urbana-Champaign, United States; Alona Kryshchenko, California State University, Channel Islands, United States; Rachel Grotheer, Wofford College, United States; Elena Sizikova, New York University, United States; Chuntian Wang, University of Alabama, United States; R. W. M. A. Madushani, Boston Medical Center, United States; Miju Ahn, Southern Methodist University, United States; Deanna Needell, University of California, Los Angeles, United States; Kathryn Leonard, Occidental College, United States
Session: Algorithms for Data Analytics II
Location: Room 3
Presentation Time: Wednesday, November 03, 08:15 - 09:45
Virtual Presentation:   Attend on Virtual Platform
Presentation:  Virtual
Topic:  Adaptive Systems, Machine Learning, Data Analytics: Supervised Learning